WO2021159314A1

WO2021159314A1 - Service processing method, device and system

Info

Publication number: WO2021159314A1
Application number: PCT/CN2020/074897
Authority: WO
Inventors: 辛阳; 李永翠; 崇卫微; 吴晓波
Original assignee: 华为技术有限公司
Priority date: 2020-02-12
Filing date: 2020-02-12
Publication date: 2021-08-19
Also published as: CN115023968A

Abstract

Embodiments of the present application relate to the technical field of communications, and provide a service processing method, device and system, used for improving service experience of terminals. The method comprises: a data analysis network element obtains related information of a first service, on a first data network, accessed by a first terminal; the data analysis network element obtains related information of a second service, on a second data network, accessed by the first terminal; the data analysis network element determines, according to the related information of the first service and the related information of the second service, first information of the first data network used for recommending the deployment of the second service on the first data network to a first network element; and the data analysis network element sends the first information to the first network element. The deployment of the second service on the first data network is recommended, facilitating that subsequently, the first terminal can access not only the first service but also the second service on the first data network, and in addition to increasing the service scope and service volume of the first data network, the time delay for the first terminal to access the second service is reduced.

Description

Business processing method, device and system

Technical field

The embodiments of the present application relate to the field of communication technologies, and in particular, to a service processing method, device, and system.

Background technique

Edge computing uses distributed processing methods to make up for the deficiencies of cloud computing in terms of real-time computing efficiency and terminal data processing by centralized processing methods, which can reduce the amount of data and data from edge devices to the cloud. The pressure of network traffic. The fifth generation (5th Generation, 5G) network introduced mobile edge computing (mobile edge computing, MEC), the purpose of which is to sink the service from the remote service server to the local service server, and then the terminal can be deployed by the local user The plane network element can access the services on the deployed local service server to realize the fast access of the terminal to the service, reduce the access delay, and improve the service experience.

Currently, a session management function (SMF) network element is configured with at least one data network access identifier (DNAI) corresponding to a network area. In the process of establishing a session or modifying a session by the terminal, the SMF network element can determine the data network that the terminal can access locally according to the area (terminal location) where the terminal is located, and then determine the user plane network element that can access the data network locally.

However, if the data network selected for the terminal does not deploy the service to be accessed by the terminal, the terminal cannot access the service through the user plane network element selected above, which affects the service experience.

Summary of the invention

The embodiments of the present application provide a service processing method, device, and system to improve the service experience of the terminal.

In order to achieve the foregoing objectives, the embodiments of the present application provide the following technical solutions:

In a first aspect, an embodiment of the present application provides a service processing method, including: a data analysis network element obtains information related to a first terminal accessing a first service on a first data network, and obtains information related to a first terminal accessing a second data network. Information about your second business. The data analysis network element determines the first information according to the first service information and the second service information. Then, the data analysis network element sends the first information to the first network element. The first information is used to recommend to the first network element to deploy the second service on the first data network.

In the above solution, the data analysis network element obtains related information about the first terminal's access to the first service on the first data network and related information about the first terminal's access to the second service on the second data network. After that, the data analysis network element uses the first information to recommend to the first network element to deploy the second service on the first data network according to the related information of the first service and the related information of the second service. In this way, when the first network element determines to deploy the second service on the first data network according to the first information, the second service can be submerged or deployed to the data network (such as the second data network) where the remote service server is located. The first data network is convenient for the subsequent first terminal to access not only the first service but also the second service on the first data network, which can not only improve the business scope and volume of the first data network, although the first terminal The second service can also be accessed through the second data network, but relatively speaking, the location of the terminal is located in the coverage area of the first data network, so by accessing the second service on the first data network, the delay is lower and the service experience is better. good.

In a possible design, before the implementation of this solution, the second service is not deployed on the first data network.

In a possible design, the related information of the first service includes one or more of the following information corresponding to the first service: the identification information of the first terminal, the first identification corresponding to the first data network, the first Service information, the first service information is used to determine the first information. Wherein, the identification information of the first terminal is used to correlate the first service related information and the second service related information of the first terminal.

In a possible design, the information of the first service includes one or more of the following information: identification information of the first service, number of visits of the first service, first slice identification, first area information, first Time information, first visit volume, first priority, first service experience, and first traffic information. For example, the first flow information includes any one or more of the following information: the size of the first packet, the number of the first packets, or the first packet loss rate. The first flow information is used to determine the identification information of the first service. For example, when the data analysis network element cannot determine the first service (such as the identification information of the first service), the first service may be determined according to the first packet size, the number of first packets, or the first packet loss rate.

In a possible design, the related information of the second service includes one or more of the following information corresponding to the second service: the identification information of the first terminal, the second identification corresponding to the second data network, and the second Business information.

In a possible design, the information of the second service includes one or more of the following identification information of the second service, the number of visits corresponding to the second service, the second slice identification, the second area information, and the second time information , Second service experience, second priority, second traffic information. For example, for example, the second flow information includes any one or more of the following information: the size of the second packet, the number of the second packets, or the second packet loss rate. Among them, the identification information of the second service, the number of visits corresponding to the second service, the second slice identifier, the second area information, the second time information, the second visit volume, the second priority or the second service experience are used to determine the first One information. The effect of the second packet size, the second packet number, or the second packet loss rate can be referred to the description of the first packet size, the first packet number, or the first packet loss rate, which will not be repeated here.

In a possible design, the first information includes one or more of the following information corresponding to the second service: the first identifier of the first data network, and the information of the second service. This can assist the first network element to determine whether to deploy the second service on the first data network.

In a possible design, the first information further includes second indication information for indicating that the type of the first information is a recommended type.

In a possible design, the method provided in the embodiment of the present application further includes: the data analysis network element sends to the first network element second indication information for indicating that the type of the first information is the recommended type.

In a possible design, the second service satisfies one or more of the following conditions: the second priority corresponding to the second service is higher than or equal to the preset priority, and/or the second priority corresponding to the second service The visit volume is higher than or equal to the preset visit volume, and/or the second service experience corresponding to the second service is higher than or equal to the preset service experience, and/or the second visit count corresponding to the second service is greater than or equal to the preset service experience It is assumed that the number of visits, and/or, the second service is any one of the multiple target services accessed by the first terminal. For example, the multiple target services may be services that the first terminal accesses during the process of accessing the first service.

In a possible design, the data analysis network element determines the first information according to the related information of the first service and the related information of the second service, including: Related information, determine the related information between the first business and the second business. The data analysis network element determines the first information according to the associated information.

In a possible design, the associated information includes: one or more of the following parameters corresponding to the second service when the first terminal accesses the first service: frequency, probability, service experience or priority; or, When the first terminal accesses the second service, accesses one or more of the following parameters corresponding to the first service: frequency, probability, service experience, or priority.

In a possible implementation, the associated information is used to describe that the parameters corresponding to the second service during the access of the first terminal to the first service meet the first condition; or the associated information is used to describe the first terminal to access the second service During the process of accessing the first service, the parameters for accessing the first service satisfy the first condition; the first condition includes one or more of the following: the number of times is greater than or equal to the preset threshold, or the probability is greater than or equal to the preset probability, or the service experience is higher than Or equal to the preset service experience, or the priority is higher than or equal to the preset priority. This facilitates the data analysis network element to determine and recommend the first network element to deploy the second service on the first data network.

In a possible design, the method provided in the embodiment of the present application further includes: the data analysis network element receives from the first network element a first request message for requesting first information, and the first request message further includes The first indication information indicating that the type of the first information is the recommended type. So that the data analysis network element determines to recommend to the first network element to deploy the second service on the first data network based on the first request message. It is understandable that if the data analysis network element does not receive the first request message, the data analysis network element may also determine to recommend to the first network element to deploy the second service on the first data network according to the related information of the first terminal accessing the second service. Two business. It is understandable that the first network element may send a first request message to the data analysis network element to request the first information when the service volume or network access volume of the first data network needs to be expanded.

In a possible design, the first request message further includes filtering information, which is used to limit the scope of the data analysis network element collecting information related to the first service.

In a possible design, the filtering information includes the first identification corresponding to the first data network and one or more of the following: network slice type, identification information of the service on the first data network, area information, and time information. The identification information of the service is used to restrict the data analysis network element to obtain the data corresponding to the service identified by the identification information of the service. The area information is used to restrict the data analysis network element from obtaining data within a specified area, and the time information is used to restrict the data analysis network element from obtaining data within a specified time. The network slice type is used to restrict the data analysis network element to obtain the data corresponding to the network slice type.

It can be understood that the area information carried in the filtering information includes the first area information. In other words, the first area information is part or all of the area information of the area information provided by the first network element. The time information includes the first time information. In other words, the first time information is part or all of the time information provided by the filtering information.

In a possible design, the data analysis network element obtains information related to the first service when the first terminal accesses the first data network, including: the data analysis network element obtains access or access to the first data from the session management network element An association identifier corresponding to one or more terminals of the network, and the one or more terminals include the first terminal. The data analysis network element obtains information about one or more services on the first data network from the user plane network element, the one or more services include the first service, and the information about the service includes at least an associated identifier corresponding to the service. The data analysis network element obtains related information about the access of the first terminal to the first service on the first data network according to the associated identifier.

It is understandable that the data analysis network element may also obtain the identification information of the first service on the first data network and the information of the first service from the user plane network element.

Exemplarily, the association identifier may be address information of the first terminal.

In a possible implementation manner, the data analysis network element may also obtain one or more of the following information corresponding to each terminal in one or more terminals from the session management network element: identification information, location information, service quality The flow identifies the QFI, the first time window, or the first network area. By acquiring the first time window or the first network area, it is convenient for the data analysis network element to determine that the one or more terminals are terminals that access or access the first data network in the first time window or the first network area. Among them, the location information is used to assist the data analysis network element to determine the network area where the terminal is located. The QFI is used to assist the data analysis network element to determine the identity of the quality of service flow corresponding to the network side when the terminal accesses the first service, and to further correlate the data on the session management network element of the terminal and the data on the user plane network element.

In a possible implementation manner, the data analysis network element may also obtain the first time window or the first network area corresponding to the first service from the user plane network element. In this way, it is convenient for the data analysis network element to determine that the first service provided by the user plane network element is the service of the first data network in the first time window or in the first network area.

In a possible design, before the data analysis network element obtains the associated identification corresponding to one or more terminals that access or access the first data network service from the session management network element, the method provided in this embodiment of the application further includes: The data analysis network element sends a second request message including the first identifier to the session management network element. The second request message is used to request the session management network element to provide information about one or more terminals that access or access the first data network.

In a possible implementation manner, the second request message may further include first filtering information, which is used to limit the range of terminals for which the session management network element collects the first data network service. For example, the first filtering information may be the second time window and/or the second network area. The first time window and the second time window overlap, and the second time window includes the first time window, that is, the first time window is part or all of the second time window. For example, the second time window is from 10:00 to 12:00, and the first time window is from 10:00 to 11:00. The second network area includes the first network area, that is, the first network area is part or all of the network area in the second network area.

In a possible design, the data analysis network element obtains the service information corresponding to the first data network from the user plane network element, including: the data analysis network element sends to the user plane network element corresponding to the first data network for subscription A subscription request for service information on the first data network. After that, the data analysis network element receives a subscription response from the user plane network element that includes the information of the service on the first data network. In this way, it is convenient for the data analysis network element to subscribe to the service information on the first data network from the user plane network element.

In one possible design, the subscription request includes the second network area and/or the second time window. In this way, the scope of the user plane network element collecting service information on the first data network can be reduced.

In the embodiment of the present application, the process for the data analysis network element to obtain information about the second service of the first terminal on the second data network can refer to the data analysis network element to obtain information about the first service of the first terminal on the first data network. Information process.

In a possible design, the data analysis network element determines the first information according to the related information of the first service and the related information of the second service, including: when the second service is not deployed on the first data network, the data The analysis network element determines the first information according to the related information of the first service and the related information of the second service. It is understandable that if the data analysis network element determines that the first terminal accesses the first service on the first data network and then accesses the second service on the second data network, then the data analysis network element can determine that it is on the first data network Deploy the second service to determine the first information.

In a possible implementation manner, the first service is deployed on a local service server, and the second service is deployed on a remote service server.

In a possible design, the first network element is an application function network element or a network management network element.

In a possible design, the first service is the service with the highest priority among the multiple services accessed by the first terminal, or the service with the largest number of visits or the most visited service, or the service with the highest service experience, or the first service. The business is any one of multiple businesses.

In a possible design, when the first service is determined, the second service is the service accessed during the access of the first terminal to the first service, or the preset time period after the first terminal accesses the first service. Visit the business within. In the case where the second service is determined, the first service can be determined in the following manner, and the first service is the service accessed during the process when the first terminal accesses the second service.

In a possible design, the method provided in the embodiment of the present application further includes: when the data analysis network element determines that the second terminal accesses the second service or within a preset time period after accessing the second service, it also accesses the third For the third service on the data network, the data analysis network element may also recommend to the first network element to deploy the third service on the first data network. That is, the first information may also be used to recommend to the first network element to deploy the third service on the first data network.

In a possible implementation manner, the second terminal and the first terminal may be the same terminal or different terminals, which is not limited in the embodiment of the present application.

In a possible implementation, the data analysis network element determines that the relevant information of the first service and the relevant information of the second service both include the identification information of the first terminal, and the data analysis network element determines to recommend that the first network element is in the first Deploy the second service on the data network.

For the manner in which the data analysis network element obtains the relevant information of the second service of the first terminal on the second data network, please refer to the implementation manner of the data analysis network element to obtain the relevant information of the first service of the first terminal on the first data network. , I won’t repeat it here.

In a second aspect, an embodiment of the present application provides a service processing method, including: a first network element receives first information from a data analysis network element, and the first information is used to recommend to the first network element to be on the first data network The second service is deployed, and the first service is deployed on the first data network. In the case of determining to deploy the second service on the first data network, the first network element sends the first identification corresponding to the first data network and identification information of the second service to the policy control network element.

In the above solution, the first network element receives the first information from the data analysis network element, and sends the first identification corresponding to the first data network and the identification information of the second service to the policy control network element, which is convenient for the policy control network element It is determined that in addition to the first service, the second service is also deployed on the first data network. So that when the first terminal requests to establish a session with the first data network to access the second service, the policy control network element triggers the session update process of the first terminal, or accesses in the newly established session of the first terminal For the second service, learn from the policy control network element that the second service is deployed on the first data network, so that the first terminal can access the second service deployed on the first data network and prevent the first terminal from passing through the second data network Access to the second service can reduce the time delay for the first terminal to access the second service. It is worth noting that the second data network is also deployed with the second service, but relatively speaking, the location of the terminal is located in the coverage area of the first data network, so access to the first data network has a lower latency and a better service experience.

In a possible design, the first network element determining to deploy the second service on the first data network may be: the first network element determines to separately deploy a server corresponding to the second service for the second service on the first data network, Or the first network element determines to deploy the second service on the server corresponding to the first service, that is, the first service and the second service are deployed on the same server, or the first network element determines other services corresponding to the first data network The second service is deployed on the server of, in this case, the first service and the second service are deployed on different servers. The specific deployment process may be manual participation in deployment or automatic deployment triggered by the first network element, which is not limited in the embodiment of the present application.

In a possible design, the first information includes one or more of the following information corresponding to the second service: the first identifier of the first data network, and the information of the second service.

In a possible design, the first information further includes second indication information for indicating that the type of the first information is a recommended type. This facilitates the first network element to determine according to the second indication information that the data analysis network element recommends deploying the second service on the first data network.

In a possible design, the first network element determines that the second service meets one or more of the following conditions, and the first network element determines to deploy the second service on the first data network, and the condition includes: the second service Is a service with a priority higher than or equal to a preset priority among the multiple target services accessed by the first terminal, and/or the second service is a service with a visit volume higher than or equal to the preset visit volume among the multiple target services, And/or, the second service is a service with service experience higher than or equal to the preset service experience among multiple target services, or, the packet loss rate of the second service is less than or equal to the preset packet loss rate, or, the service experience of the second service The required delay is lower than the preset delay. By setting the above conditions, it is convenient for the first network element to determine that the second service is deployed on the first data network when the second service meets the condition. It is understandable that each element in the above conditions can be used alone or in combination, which is not limited in the embodiments of the present application. When multiple elements are used in combination, on the one hand, the second service needs to satisfy each element at the same time; on the other hand, the second service can satisfy any of the elements.

In a possible design, the method provided in the embodiment of the present application further includes: the first network element sends a first request message for requesting the first information to the data analysis network element. The first request message also carries first indication information indicating that the type of the first information is the recommended type.

In a possible implementation manner, the method provided in the embodiment of the present application further includes: the first network element receives second indication information from the data analysis network element for indicating that the type of the first information is the recommended type.

It can be understood that, in order to save signaling overhead, the second indication information may be carried in the first information.

In a possible design, the filtering information includes the first identification and one or more of the following: network slice type, service identification information, area information, and time information. It is worth noting that the filtering information is used to assist the data analysis network element to determine the range of data that needs to be collected by the first information.

In a possible design, the first information is also used to recommend that the first network element deploy the third service on the first data network. The third service is a service deployed on the third data network that the second terminal also accesses when accessing the second service or within a preset time period after accessing the second service.

In a third aspect, an embodiment of the present application provides a communication method, the method includes: a data analysis network element obtains service information on each of the multiple data networks in the first area. The data analysis network element determines the respective business dispersion degree of each data network according to the information of the business on each data network. The business dispersion degree of a data network is used to reflect the business access volume corresponding to the data network; The session management network element sends the service dispersion degree of the multiple data networks in the first area.

In the solution described in the third aspect, the data analysis network element obtains the business dispersion degree of multiple data networks in the same area, and sends the business dispersion degree of the multiple data networks in the area to the session management network element. The auxiliary session management network element selects the target data network for the terminal from the multiple data networks according to the business dispersion degree of each of the multiple data networks.

Regarding the manner in which the data analysis network element obtains information about the service corresponding to each of the multiple data networks in the first area, refer to the data analysis network element to obtain information about the first service of the first terminal on the first data network. The implementation method will not be repeated here.

In a possible design, the service dispersion degree of a data network also corresponds to the first time window. In this way, the business dispersion degree of the data network is also used to determine the business access volume of the data network in the first time window.

In a possible design, the data analysis network element obtains the service dispersion degree of the multiple data networks in the first area, including: the data analysis network element accesses or accesses each of the multiple data networks in the first area The terminal data of each data network determines the degree of dispersion of each data network. Wherein, the data of the terminal includes one or more of the following information: identification information of the terminal, identification information of the data network, and information of services accessed by the terminal on the data network.

In a possible design, the service information includes one or more of the following information corresponding to the service: service identification information, time information, area information, usage times or access times.

In a possible design, the method provided in the embodiment of the present application further includes: the data analysis network element receives a first request message from the session management network element for requesting service dispersion of multiple data networks in the second area. In this way, the data analysis network element can be triggered to obtain data in the second area to determine the degree of service dispersion of multiple data networks. The second area and the first area may be the same area, or the first area may be a partial area of the second area.

A possible implementation is that the first request message includes the second area. At this time, the session management network element may not be sure of the identification information of the data network in the second area, and the data analysis network element can query by the data analysis network element by providing the second area. The multiple data networks included in the second area, that is, the multiple data networks are determined by the data analysis network element. Another possible implementation manner is that the session management network element knows the identification information of the data network included in the second area. At this time, the session management network element not only provides the second area, but also provides information included in the second area. Identification information of each data network. In this case, multiple data networks are determined by the session management network element, which is not limited in the embodiment of the present application. It is understandable that when the session management network element provides the identification information of multiple data networks, the data analysis network element can decide to analyze the service dispersion of all data networks in the multiple data networks, or it can decide to analyze multiple data The degree of service dispersion of some data networks in the network is not limited in this embodiment of the application.

In a possible design, the first request message may also include filtering information, which is used to limit the range of data collected by the data analysis network element to determine the degree of service dispersion of multiple data networks.

In a possible design, the filtering information includes one or more of the following information corresponding to each of the multiple data networks: identification information, network slice type, service identification, network area, or time window.

In a fourth aspect, an embodiment of the present application provides a communication method. The method includes: the session management network element receives the service dispersion degree of multiple data networks in the first area from the data analysis network element, and the service dispersion degree of one data network Used to reflect the business access volume corresponding to the data network. The session management network element selects a target data network that provides services for the terminal from the multiple data networks according to the business dispersion degree of multiple different data networks in the first area.

In a possible design, the same services are deployed on the multiple data networks.

In a possible design, the target data network is the one with the lowest business dispersion among different data networks. The lowest service dispersion of the target data network indicates that the target data network has the lowest service access volume, that is, the load of the target data network is the lowest among the loads of different data networks. By selecting the data network with the lowest load to provide services to the terminal, this can be Reduce the load of the target data network and realize the load balance of the data network. In this case, that is, the service dispersion degree of the target data network is used to reflect that the service access volume of the service on the target data network is the lowest.

In a possible design, the target data network is the one with the highest degree of business dispersion among different data networks. In this case, the higher the degree of service dispersion indicates that the content provided by the target data network is richer, that is, the highest degree of service dispersion indicates that the popularity of the services deployed on the target data network is higher, which can assist the terminal access popularity Relatively high business, reduce access delay, packet loss, etc.

In a possible design, the method provided in the embodiment of the present application further includes: the session management network element sends a first request message for requesting service dispersion of multiple data networks in the second area to the data analysis network element. In this way, the data analysis network element can be triggered to obtain the service dispersion degree of multiple data networks in the second area.

In a possible design, the first request message includes that the type of service dispersion requested by the session management network element is a statistical type.

In a possible design, the content of the filtering information can refer to the description in the fourth aspect, which will not be repeated here.

In a fifth aspect, an embodiment of the present application provides a communication method, the method includes: a data analysis network element determines a service dispersion degree corresponding to a first network slice, and the service dispersion degree is used to reflect the service access volume of the first network slice; The service dispersion degree is used to assist the network management network element to adjust the resource configuration of the first network slice on the base station or to assist the base station in adjusting the resource (for example, air interface resource) scheduling of the first network slice. The data analysis network element sends the service dispersion degree corresponding to the first network slice to the network management network element or the base station.

For example, the resource configuration may adjust the proportion of the resources of the first network slice on the base station by the network management network element.

In a possible implementation manner, the data analysis network element sending the service dispersion degree corresponding to the first network slice to the base station includes: the data analysis network element sending the service dispersion degree corresponding to the first network slice to the network management network element, and then the network management The network element sends the service dispersion degree corresponding to the first network slice to the base station.

In a possible implementation manner, the method provided in the embodiment of the present application further includes: the data analysis network element sends the first network area and/or the first time period corresponding to the service dispersion degree to the network management network element or the base station. This can assist the network management network element or the base station to determine the service dispersion degree to reflect the service access volume of the first network slice in the first network area and/or the first time period.

In a possible implementation manner, the method provided in the embodiment of the present application further includes: the data analysis network element receives a first request message from the network management network element or the base station for requesting the service dispersion degree corresponding to the first network slice.

In a possible implementation manner, the first request message should include the identification information of the first network slice and one or more of the following information: the second network area and/or the second time period. The second time period in the embodiment of the present application includes the first time period. It can also be understood that the first time period is a part of the second time period or the first time period is the entire time period of the second time period.

In a possible implementation manner, the degree of service dispersion is service access statistics used to reflect the historical law of service access in different time periods of the first network slice. Correspondingly, the data analysis in the embodiment of the present application The network element determining the degree of service dispersion corresponding to the first network slice includes: the data analysis network element obtains multiple service visits corresponding to each time period of the first network slice in different time periods. The data analysis network element obtains the historical law of the service access volume of the first network slice in different time periods according to the multiple service access volumes corresponding to each time period. For example, the data analysis network element may sum up multiple service visits corresponding to any one time period and average them to obtain the historical law of the service visits of the first network slice in different time periods.

In a possible implementation manner, the degree of service dispersion is service access volume prediction information, which is used to predict the service access volume of the first data network in the third time period. Correspondingly, the data analysis network element in the embodiment of the present application determines the service dispersion degree corresponding to the first network slice, including: the data analysis network element determines the first service access volume corresponding to the first network slice and the service access corresponding to the first network slice according to the data analysis network element. The historical law of volume, determine the business visit volume forecast information. For example, the data analysis network element determines the service access volume prediction information based on the time series prediction method according to the first service access volume corresponding to the first network slice and the historical law of the service access volume corresponding to the first network slice.

In a sixth aspect, an embodiment of the present application provides a communication method, the method includes: a network management network element receives a service dispersion degree corresponding to a first network slice from a data analysis network element, and the service dispersion degree is used to reflect the first network slice Business visits. The network management network element adjusts the resource configuration of the first network slice according to the service dispersion degree corresponding to the first network slice.

In the solution described in the sixth aspect, the network management network element receives the service dispersion degree corresponding to the first network slice, so that it is convenient for the network management network element to determine the service access volume of the first network slice, thereby adjusting the resource configuration of the first network slice in time. For example, increase the resource ratio of the first network slice to meet service access requirements.

In a possible design, the network management network element adjusts the resource configuration of the first network slice according to the service dispersion degree, including: the service dispersion degree is greater than or equal to a preset threshold, and the network management network element increases the resources of the first network slice Accounted for.

In a possible implementation manner, the network management network element adjusts the resource configuration of the first network slice according to the service dispersion degree, including: the service dispersion degree is less than or equal to a preset threshold, and the network management network element reduces the resources of the first network slice Accounted for.

In a possible implementation manner, the network management network element adjusts the resource configuration of the first network slice according to the service dispersion degree, including: the service dispersion degree is equal to a preset threshold, and the network management network element maintains the resource proportion of the first network slice constant.

If the service dispersion degree corresponding to the first network slice still corresponds to the first time period and/or the first network area, the network management network element increases the value of the first network slice in the first time period and/or the first network area. The proportion of resources. Alternatively, the network management network element reduces the proportion of resources of the first network slice in the first time period and/or the first network area. Alternatively, the network management network element maintains the resource proportion of the first network slice in the first time period and/or the first network area unchanged.

In a possible implementation manner, the network management network element may also send the first indication information, or the second indication information or the third indication information to the base station. The first indication information is used to instruct the base station to increase air interface resource scheduling of the first network slice. The second indication information is used to instruct the base station to reduce air interface resource scheduling of the first network slice. The third indication information is used to instruct the base station to maintain the air interface resource scheduling of the first network slice unchanged.

If the service dispersion degree corresponding to the first network slice also corresponds to the first time period and/or the first network area, the first indication information is used to instruct the base station to increase the first network slice during the first time period and/or the first time period and/or the first time period. Air interface resource scheduling in the network area. The second indication information is used to instruct the base station to reduce the air interface resource scheduling of the network slice in the first time period and/or the first network area. The fourth indication information is used to instruct the base station to maintain the air interface resource scheduling of the first network slice in the first time period and/or the first network area unchanged.

In a possible design, the service dispersion degree is service visit volume prediction information, which is used to predict the service visit volume of the first network slice in the third time period.

In a possible design, the network management network element adjusts the resource configuration of the first network slice according to the service dispersion degree corresponding to the first network slice, including: the network management network element increases the resources of the first network slice in the third time period Accounted for. That is, the network management network element prepares air interface resources for the first network slice in advance.

In a seventh aspect, an embodiment of the present application provides a communication method, including: a data analysis network element determines a service dispersion degree corresponding to a first service deployed on a data network. The data analysis network element sends the service dispersion degree corresponding to the first service deployed on the data network to the application function network element. The service dispersion degree is used to determine the service access volume of the first service in the first time period.

In a possible implementation manner, the business dispersion degree corresponding to the first business also corresponds to the first time period.

In a possible implementation manner, the business dispersion degree includes business access volume statistical information used to reflect the historical law of the business access volume of the first service in the first time period.

In a possible implementation manner, the service dispersion degree includes service visit volume prediction information used to predict the service visit volume of the first service in the first time period.

In a possible implementation manner, the method provided in the embodiment of the present application further includes: the data analysis network element receives a first request message from the application function network element, and the first request message is used to request service decentralization corresponding to the first service. Spend. Exemplarily, the first request message includes identification information of the first service and identification information of the data network.

In an eighth aspect, an embodiment of the present application provides a communication method, including: an application function network element receives a service dispersion degree corresponding to a first service deployed on a data network of a data analysis network element, and the service dispersion degree is used to determine the first service dispersion degree. The traffic volume of the business in the first time period. The application function network element processes the resources of the first service according to the degree of service dispersion.

In a possible implementation manner, the degree of business dispersion includes statistical information on business visits, and the statistical information on business visits is used to reflect the historical law of the business visits of the first business in the first time period. Correspondingly, the application function The network element processes the resources of the first service according to the degree of service dispersion, including: the service access volume of the first service in the first time period is greater than or equal to the first service access volume threshold, and the application function network element sends a first notification to the data network information. The first notification message is used to notify the data network to adjust the storage resources, computing resources, or transmission resources of the service server corresponding to the first service in the first time period. For example, the first notification message is used to notify the data network to increase the storage resources, computing resources, or transmission resources of the service server corresponding to the first service in the first time period.

In a possible implementation manner, the degree of business dispersion is business visit volume forecast information, and the business visit volume forecast information is used to predict the business visit volume of the first service in the first time period. Correspondingly, the application function network element processes the resources of the first service according to the degree of service dispersion, including: the application function network element dispatches the first service from the remote server to the data network before the arrival of the first time period.

In a possible implementation manner, the method provided in the embodiment of the present application further includes: the application function network element sends a first request message to the data analysis network element, where the first request message is used to request the service dispersion degree corresponding to the first service . Exemplarily, the first request message includes identification information of the first service and identification information of the data network.

In a ninth aspect, an embodiment of the present application provides a communication device that can implement the first aspect or any possible implementation method of the first aspect, and therefore can also implement any possible implementation of the first aspect or the first aspect. The beneficial effect in the realization method. The communication device may be a data analysis network element, or a device that can support the data analysis network element to implement the method in the first aspect or any possible implementation manner of the first aspect, for example, a chip applied to the data analysis network element. The device can implement the above method by software, hardware, or by hardware executing corresponding software.

In an example, the communication device provided by the embodiment of the present application includes: a communication module, used to obtain information related to the first service when the first terminal accesses the first data network, and used to obtain the first terminal accesses the second data network Information about the second business at the time. The processing module is used to determine the first information according to the related information of the first service and the related information of the second service. The first information is used to recommend to the first network element to deploy the second service on the first data network. The communication module is also used to send the first information to the first network element.

In a possible design, the second priority corresponding to the second service is the service whose priority is higher than or equal to the preset priority among the multiple target services accessed by the first terminal, and/or the service corresponding to the second service The second visit volume is a business whose visit volume is higher than or equal to the preset visit volume among multiple target businesses, and/or the second business experience corresponding to the second business is the business experience of multiple target businesses higher than or equal to the preset visit volume Business experience of business.

In a possible design, the processing module is used to determine the correlation information between the first business and the second business based on the related information of the first business and the related information of the second business, and to determine the related information based on the related information. First information.

For the description of the related information of the first service, the related information of the second service, the second service, the associated information, and the first information, please refer to the description in the first aspect, which will not be repeated here.

In a possible design, the communication module is further configured to receive a first request message for requesting first information from the first network element, and the first request message further includes a message indicating that the first information is a recommended type. The first instruction information.

In a possible design, the filtering information includes the first identifier corresponding to the first data network and one or more of the following: network slice type, service identifier, area information, and time information.

In a possible design, the communication module is specifically configured to obtain the associated identification corresponding to one or more terminals of the first data network service from the session management network element, and the one or more terminals include the first terminal. The communication module is specifically configured to obtain information about one or more services on the first data network from the user plane network element, the one or more services include the first service, and the information about the service includes at least the associated identifier corresponding to the service . The processing module is used for the data analysis network element to obtain related information of the first service when the first terminal accesses the first data network according to the associated identifier.

Related information of the first service In a possible implementation manner, the communication module is also used to obtain one or more of the following information corresponding to each of the one or more terminals from the session management network element: identification information , Location information, QFI, first time window, or first network area.

In a possible implementation, the communication module is also used to obtain the first time window or the first network area corresponding to the service information from the user plane network element.

In a possible design, before the communication module is used to obtain the associated identification corresponding to one or more terminals of the first data network service from the session management network element, the communication module is also used to send the communication module to the session management network element including the first data network element. An identified second request message. The second request message is used to request the session management network element to provide information about one or more terminals that access or access the first data network.

In a possible implementation manner, the second request message may further include first filtering information, which is used to limit the range of terminals for which the session management network element collects the first data network service.

In a possible design, the communication module is configured to send a subscription request to a user plane network element corresponding to the first data network, where the subscription request is used to subscribe to service information on the first data network. The communication module is also used to receive the subscription response from the user plane network element. The subscription response includes service information on the first data network.

In a possible design, when the second service is not deployed on the first data network, the processing module is configured to determine the first information according to the related information of the first service and the related information of the second service. It is understandable that if the data analysis network element determines that the first terminal has accessed or accessed the first service on the first data network, and also accessed or accessed the second service on the second data network, the processing module can determine that the first terminal has accessed or accessed the first service on the first data network. The second service can also be deployed on a data network to determine the first information.

In a possible design, the first service is the service with the highest priority among the multiple services accessed by the first terminal, or the service with the greatest number of visits or the most visited service, or the service with the highest service experience.

In a possible design, the second service is the service with the highest priority among the multiple services accessed by the first terminal, or the service with the greatest number of visits or the most visited service, or the service with the highest service experience.

In a possible design, the second service is a service accessed by the first terminal during access to the first service, or a service accessed by the first terminal within a preset time period after accessing the first service.

In a possible design, the processing module is also used to determine that when the second terminal accesses the second service, it also accesses the third service deployed on the third data network, then the processing module can also communicate to the first terminal through the communication module. The network element recommends deploying the third service on the first data network. That is, the first information may also be used to recommend to the first network element to deploy the third service on the first data network.

Regarding the manner in which the communication module is used to obtain information about the second service of the first terminal on the second data network, refer to the way in which the communication module is used to obtain information about the first service of the first terminal on the first data network. , I won’t repeat it here.

Exemplarily, when the communication device is a chip or a chip system in a data analysis network element, the processing module may be a processor, and the communication module may be a communication interface. For example, the communication module can be an input/output interface, a pin, or a circuit. The processing module executes the instructions stored in the storage module to enable the data analysis network element to implement the first aspect or a service processing method described in any possible implementation manner of the first aspect. The storage module may be a storage unit (for example, register, cache, etc.) in the chip, or a storage unit (for example, read-only memory, random access memory, etc.) located outside the chip in the data analysis network element .

In a tenth aspect, an embodiment of the present application provides a communication device that can implement the second aspect or any possible implementation method of the second aspect, and therefore can also implement any possible implementation of the second aspect or the second aspect. The beneficial effect in the realization method. The communication device may be a first network element, or a device that can support the first network element to implement the second aspect or the method in any possible implementation manner of the second aspect, for example, a chip applied to the first network element. The device can implement the above method by software, hardware, or by hardware executing corresponding software.

As an example, an embodiment of the present application provides a communication device, including: a communication module, configured to receive first information from a data analysis network element, and the first information is used to recommend deployment on a first data network to the communication device The second service, the first data network is deployed with the first service. The processing module is used to determine the deployment of the second service on the first data network. The communication module is configured to send the first identification corresponding to the first data network and identification information of the second service to the policy control network element.

For the content of the first information, reference may be made to the description in the second aspect, which will not be repeated here.

In a possible design, the second service satisfies one or more of the following conditions, and the processing module is used to determine the deployment of the second service on the first data network, and the condition includes: the second service is the first terminal Among the multiple target businesses visited, the priority is higher than or equal to the preset priority, and/or, the second business is the business with the visit volume higher than or equal to the preset visit volume among the multiple target businesses, and/or, The second service is a service whose service experience is higher than or equal to the preset service experience among multiple target services, or, the packet loss rate of the second service is less than or equal to the preset packet loss rate, or, the delay required by the second service Lower than the preset time delay.

In a possible design, the communication module is further configured to send a first request message including the communication device requesting the first information to the data analysis network element, and the first request message may also carry indicating that the type of the first information is The first indication information of the recommended type.

In a possible design, the filtering information includes the first identifier and one or more of the following: network slice type, service identifier, area information, and time information.

In a possible design, the first information is also used to recommend that the communication device deploy the third service on the first data network. Wherein, the third service is a service deployed on the third data network that is also accessed when the second terminal accesses the second service.

In a possible design, the communication module is further configured to receive second indication information indicating that the type of the first information is the recommended type from the data analysis network element.

Exemplarily, when the communication device is a chip or a chip system in the first network element, the processing module may be a processor, and the communication module may be a communication interface. For example, the communication module can be an input/output interface, a pin, or a circuit. The processing module executes the instructions stored in the storage module, so that the first network element implements the second aspect or a service processing method described in any one of the possible implementation manners of the second aspect. The storage module may be a storage unit (for example, register, cache, etc.) in the chip, or a storage unit (for example, read-only memory, random access memory, etc.) located outside the chip in the first network element .

In an eleventh aspect, an embodiment of the present application provides a communication device that can implement the third aspect or any possible implementation method of the third aspect, and therefore can also implement any possible third aspect or the third aspect. The beneficial effects in the realization of the method. The communication device may be a data analysis network element, or a device that can support the data analysis network element to implement the method in the third aspect or any possible implementation manner of the third aspect, for example, a chip applied to the data analysis network element. The device can implement the above method by software, hardware, or by hardware executing corresponding software.

As an example, an embodiment of the present application provides a communication device, which includes: a communication module, configured to obtain service information corresponding to each of the multiple data networks in the first area. The processing module is used to determine the respective business dispersion degree of each data network according to the information of the business corresponding to each data network, and the business dispersion degree of a data network is used to reflect the business access volume corresponding to the data network. The communication module is also used to send the service dispersion degree of multiple data networks in the area to the session management network element.

Regarding the manner in which the communication module is used to obtain information about the service corresponding to each of the multiple data networks in the first area, refer to the data analysis network element to obtain information about the first service of the first terminal on the first data network. The implementation method will not be repeated here.

In a possible design, the service dispersion degree of a data network also corresponds to the first time window, that is, the service dispersion degree of the data network is also used to determine the service access volume of the data network in the first time window.

In a possible design, the communication module is used to obtain the business dispersion degree of multiple data networks in the first area, and includes: a communication module, used to determine the terminal of each data network in the multiple data networks in the first area The data determines the respective business dispersion degree of each data network, where the terminal data includes one or more of the following information: terminal identification information, identification information of the data network, and business information accessed by the terminal on the data network.

In a possible design, the business information includes one or more of the following information corresponding to the business: identification information, time, area, use times, or visit times.

In a possible design, the communication module is further configured to receive a first request message from the session management network element for requesting service dispersion of multiple data networks in the second area.

In a possible design, the first request message may also include filtering information, which is used to limit the range of data collected by the data analysis network element. This data is used to determine the degree of business dispersion of multiple data networks.

In a possible design, the filtering information includes one or more of the following information corresponding to each of the multiple data networks: identification, network slice type, service identification, network area, or time window.

Exemplarily, when the communication device is a chip or a chip system in a data analysis network element, the processing module may be a processor, and the communication module may be a communication interface. For example, the communication module can be an input/output interface, a pin, or a circuit. The processing module executes the instructions stored in the storage module, so that the data analysis network element implements a communication method described in the third aspect or any one of the possible implementation manners of the third aspect. The storage module may be a storage unit (for example, register, cache, etc.) in the chip, or a storage unit (for example, read-only memory, random access memory, etc.) located outside the chip in the data analysis network element .

In a twelfth aspect, an embodiment of the present application provides a communication device, which can implement the fourth aspect or any possible implementation method of the fourth aspect, and therefore can also implement any possible implementation of the fourth aspect or the fourth aspect. The beneficial effects in the realization of the method. The communication device may be a session management network element, or a device that can support the session management network element to implement the method in the fourth aspect or any possible implementation manner of the fourth aspect, for example, a chip applied to the session management network element. The device can implement the above method by software, hardware, or by hardware executing corresponding software.

As an example, an embodiment of the present application provides a communication device, which includes: a communication module, configured to receive service dispersion of multiple data networks in a first area from a data analysis network element, and a data network service The degree of dispersion is used to reflect the business access volume corresponding to the data network. The processing module is configured to select a target data network that provides services for the terminal from the multiple data networks according to the business dispersion degree of multiple different data networks in the first area.

In a possible design, the target data network is the one with the lowest business dispersion among different data networks. The lowest service dispersion degree of the target data network indicates that the target data network has the lowest service access volume, that is, the load of the target data network is the lowest among the loads of different data networks. In this case, that is, the service dispersion degree of the target data network is used to reflect that the service access volume of the service on the target data network is the lowest.

In a possible design, the target data network is the one with the highest degree of business dispersion among different data networks. In this case, the higher the degree of service dispersion indicates that the content provided by the target data network is richer, that is, the highest degree of service dispersion indicates that the popularity of the services deployed on the target data network is higher, which can assist the terminal access popularity Relatively high business, reduce access delay, packet loss, etc. In this case, that is, the service dispersion degree of the target data network is used to reflect the higher enthusiasm of the services provided on the target data network.

In a possible design, the communication module is further configured to send a first request message for requesting service dispersion of multiple data networks in the second area to the data analysis network element.

In a possible design, the first request message includes that the service dispersion analysis result type requested by the communication device is a recommended type or a statistical type.

In a possible design, the filtering information includes one or more of the following information corresponding to each of the multiple data networks: identification, network slice type, service identification, network area, and time window.

Exemplarily, when the communication device is a chip or a chip system in a session management network element, the processing module may be a processor, and the communication module may be a communication interface. For example, the communication module can be an input/output interface, a pin, or a circuit. The processing module executes the instructions stored in the storage module, so that the session management network element implements a communication method described in the fourth aspect or any one of the possible implementation manners of the fourth aspect. The storage module can be a storage unit (for example, register, cache, etc.) in the chip, or a storage unit (for example, read-only memory, random access memory, etc.) located outside the chip in the session management network element .

In the thirteenth aspect, an embodiment of the present application provides a communication device that can implement the fifth aspect or any possible implementation method of the fifth aspect, and therefore can also implement any possible implementation of the fifth aspect or the fifth aspect. The beneficial effects in the realization of the method. The communication device may be a data analysis network element, or a device that can support the data analysis network element to implement the method in the fifth aspect or any possible implementation manner of the fifth aspect, for example, a chip applied to the data analysis network element. The device can implement the above method by software, hardware, or by hardware executing corresponding software.

As an example, an embodiment of the present application provides a communication device, which includes: a processing module, configured to determine a service dispersion degree corresponding to a first network slice, and the service dispersion degree is used to reflect the service access volume of the first network slice The service dispersion degree is used to assist the network management network element to adjust the resource configuration of the first network slice on the base station or to assist the base station in scheduling resources for the first network slice. The communication module is used to send the service dispersion degree corresponding to the first network slice to the network management network element or the base station.

In a possible implementation manner, the communication module is further configured to send the first network area and/or the first time period corresponding to the service dispersion degree to the network management network element or the base station.

In a possible implementation manner, the communication module is further configured to receive a first request message from a network management network element or a base station, where the first request message is used to request a service dispersion degree corresponding to the first network slice.

In a possible implementation manner, the first request message should include the identifier of the first network slice and one or more of the following information: the second network area and/or the second time period. In the embodiment of the present application, the second time period includes the first time period, and it can also be understood that the first time period is a part of the second time period or the first time period is the entire time period of the second time period.

In a possible implementation manner, the degree of service dispersion is the statistical information of the business visits used to reflect the historical law of the business visits of the first network slice in different time periods. Correspondingly, the communication module is used to obtain the first network slice. A network slice corresponds to multiple service visits in each time period in different time periods. The processing module is used to obtain the historical law of the service access volume of the first network slice in different time periods according to the multiple service access volume corresponding to each time period. For example, the processing module may sum up multiple service visits corresponding to any one time period and take the average to obtain the historical law of the service visits of the first network slice in different time periods.

In a possible implementation manner, the degree of service dispersion is service access volume prediction information, which is used to predict the service access volume of the first data network in the third time period. Correspondingly, the processing module is configured to determine the service access volume prediction information according to the first service access volume corresponding to the first network slice and the historical law of the service access volume corresponding to the first network slice. For example, the data analysis network element determines the service access volume prediction information based on the time series prediction method according to the first service access volume corresponding to the first network slice and the historical law of the service access volume corresponding to the first network slice.

Exemplarily, when the communication device is a chip or a chip system in a data analysis network element, the processing module may be a processor, and the communication module may be a communication interface. For example, the communication module can be an input/output interface, a pin, or a circuit. The processing module executes the instructions stored in the storage module, so that the data analysis network element implements a communication method described in the fifth aspect or any one of the possible implementation manners of the fifth aspect. The storage module may be a storage unit (for example, register, cache, etc.) in the chip, or a storage unit (for example, read-only memory, random access memory, etc.) located outside the chip in the data analysis network element .

In a fourteenth aspect, an embodiment of the present application provides a communication device that can implement the method in the sixth aspect or any possible implementation manner of the sixth aspect, and therefore can also implement any possible implementation of the sixth aspect or the sixth aspect. The beneficial effects in the realization of the method. The communication device may be a network management network element, or a device that can support the network management network element to implement the method in the sixth aspect or any possible implementation manner of the sixth aspect, for example, a chip applied to the network management network element. The device can implement the above method by software, hardware, or by hardware executing corresponding software.

As an example, an embodiment of the present application provides a communication device, which includes: a communication module, configured to receive a service dispersion degree corresponding to a first network slice from a data analysis network element, and the service dispersion degree is used to reflect the The service access volume of the first network slice, and the service dispersion degree is used to assist the network management network element to adjust the resource configuration of the first network slice on the base station. The processing module is configured to adjust the resource configuration of the first network slice on the base station according to the service dispersion degree corresponding to the first network slice.

In a possible design, the service dispersion degree is greater than or equal to a preset threshold, and the processing module is configured to increase the resource ratio of the first network slice.

In a possible implementation manner, the service dispersion degree is less than or equal to a preset threshold, and the processing module is configured to reduce the resource proportion of the first network slice.

In a possible implementation manner, the service dispersion degree is equal to a preset threshold, and the processing module is configured to keep the resource proportion of the first network slice unchanged.

If the service dispersion corresponding to the first network slice also corresponds to the first time period and/or the first network area, the processing module is configured to increase the first network slice in the first time period and/or the first network area The proportion of resources within. Alternatively, the processing module is configured to reduce the resource ratio of the first network slice in the first time period and/or the first network area. Alternatively, the processing module is configured to maintain the resource ratio of the first network slice in the first time period and/or the first network area unchanged.

In a possible implementation manner, the communication module is further configured to send first indication information to the base station, where the first indication information instructs the base station to increase air interface resource scheduling of the first network slice.

In a possible design, the service dispersion is less than or equal to a preset threshold, and the communication module is further configured to send second indication information to the base station, the second indication information instructing the base station to reduce air interface resource scheduling of the first network slice.

In a possible design, the service dispersion is equal to a preset threshold, and the communication module is configured to send third indication information to the base station, the third indication information instructing the base station to keep the air interface resource scheduling of the first network slice unchanged.

If the service dispersion degree corresponding to the first network slice also corresponds to the first time period and/or the first network area, the first indication information is specifically used to instruct the base station to increase in the first time period and/or the first network area. Air interface resource scheduling of the first network slice. The second indication information is used to instruct the base station to reduce the air interface resource scheduling of the first network slice in the first time period and/or the first network area. The third indication information is used to instruct the base station to maintain the air interface resource scheduling of the first network slice in the first time period and/or the first network area unchanged.

In a possible design, the processing module is used to increase the resource ratio of the first network slice in the third time period. That is, the network management network element prepares air interface resources for the first network slice in advance.

In a possible design, the communication module is further configured to send to the base station indication information for instructing the base station to increase the air interface resource scheduling of the first network slice in the third time period.

Exemplarily, when the communication device is a chip or a chip system in a network management network element, the processing module may be a processor, and the communication module may be a communication interface. For example, the communication module can be an input/output interface, a pin, or a circuit. The processing module executes the instructions stored in the storage module, so that the network management network element implements a communication method described in the sixth aspect or any one of the possible implementation manners of the sixth aspect. The storage module may be a storage unit (for example, a register, a cache, etc.) in the chip, or a storage unit (for example, a read-only memory, a random access memory, etc.) located outside the chip in the network management network element.

In the fifteenth aspect, the embodiments of the present application provide a communication device, which can implement the method in the seventh aspect or any possible implementation manner of the seventh aspect, and therefore can also implement any possible implementation of the seventh aspect or the seventh aspect. The beneficial effects in the realization of the method. The communication device may be a data analysis network element, or a device that can support the data analysis network element to implement the method in the seventh aspect or any possible implementation manner of the seventh aspect, for example, a chip applied to the data analysis network element. The device can implement the above method by software, hardware, or by hardware executing corresponding software.

As an example, an embodiment of the present application provides a communication device, including: a processing module, configured to determine a business dispersion degree corresponding to a first service deployed on a data network. The communication module is used to send the service dispersion degree corresponding to the first service deployed on the data network to the application function network element. The service dispersion degree is used to determine the service access volume of the first service in the first time period.

In a possible implementation manner, the communication module is further configured to receive a first request message from an application function network element, where the first request message is used to request a service dispersion degree corresponding to the first service. Exemplarily, the first request message includes identification information of the first service and identification information of the data network.

Exemplarily, when the communication device is a chip or a chip system in a data analysis network element, the processing module may be a processor, and the communication module may be a communication interface. For example, the communication module can be an input/output interface, a pin, or a circuit. The processing module executes the instructions stored in the storage module, so that the data analysis network element implements a communication method described in the seventh aspect or any one of the possible implementation manners of the seventh aspect. The storage module may be a storage unit (for example, register, cache, etc.) in the chip, or a storage unit (for example, read-only memory, random access memory, etc.) located outside the chip in the data analysis network element .

In the sixteenth aspect, the embodiments of the present application provide a communication device, which can implement the eighth aspect or any possible implementation method of the eighth aspect, and therefore can also implement any eighth aspect or the eighth aspect. The beneficial effects in the realization of the method. The communication device may be an application function network element, or a device that can support the application function network element to implement the method in the eighth aspect or any possible implementation manner of the eighth aspect, for example, a chip applied to the application function network element. The device can implement the above method by software, hardware, or by hardware executing corresponding software.

As an example, an embodiment of the present application provides a communication device, including: a communication module, configured to receive a service dispersion degree corresponding to a first service deployed on a data network from a data analysis network element, and the service dispersion degree is used to determine the first service dispersion degree. The traffic volume of a business in the first time period. The processing module is used to process the resources of the first business according to the degree of business dispersion.

In a possible implementation manner, the business dispersion degree corresponding to the first business also corresponds to the second time period.

In a possible implementation manner, the degree of business dispersion includes statistical information on business visits, and the statistical information on business visits is used to reflect the historical law of the business visits of the first business in the first time period. Correspondingly, the processing module , Used to process the resources of the first service according to the degree of service dispersion, including: the service access volume of the first service in the first time period is greater than or equal to the first service access volume threshold, and the processing module is used to communicate to the data network through the communication module Send the first notification message. The first notification message is used to notify the data network to adjust the storage resources, computing resources, or transmission resources of the service server corresponding to the first service in the first time period. For example, the first notification message is used to notify the data network to increase the storage resources, computing resources, or transmission resources of the service server corresponding to the first service in the first time period.

In a possible implementation manner, the degree of business dispersion is business visit volume forecast information, and the business visit volume forecast information is used to predict the business visit volume of the first service in the first time period. Correspondingly, the processing module is configured to process the resources of the first service according to the degree of service dispersion, including: the processing module is configured to schedule the first service from the remote server to the data network before the arrival of the first time period.

In a possible implementation manner, the communication module is further configured to send a first request message to the data analysis network element, where the first request message is used to request a service dispersion degree corresponding to the first service. Exemplarily, the first request message includes identification information of the first service and identification information of the data network.

In the seventeenth aspect, the embodiments of the present application provide a computer-readable storage medium. The computer-readable storage medium stores a computer program or instruction. When the computer program or instruction is run on the computer, the computer can execute the operations as described in the first aspect to A service processing method described in any one of the possible implementations of the first aspect.

In the eighteenth aspect, the embodiments of the present application provide a computer-readable storage medium. The computer-readable storage medium stores a computer program or instruction. When the computer program or instruction runs on the computer, the computer executes the operations as described in the second aspect to A service processing method described in any one of the possible implementations of the second aspect.

In the nineteenth aspect, the embodiments of the present application provide a computer-readable storage medium. The computer-readable storage medium stores a computer program or instruction. When the computer program or instruction is run on a computer, the computer can execute the third aspect to A communication method described in any possible implementation of the third aspect.

In the twentieth aspect, the embodiments of the present application provide a computer-readable storage medium. The computer-readable storage medium stores a computer program or instruction. When the computer program or instruction is run on the computer, the computer can execute the fourth aspect to A communication method described in any possible implementation of the fourth aspect.

In the twenty-first aspect, an embodiment of the present application provides a computer-readable storage medium in which a computer program or instruction is stored. When the computer program or instruction is run on a computer, the computer can execute the same as in the fifth aspect. To a communication method described in any possible implementation manner of the fifth aspect.

In the twenty-second aspect, an embodiment of the present application provides a computer-readable storage medium. The computer-readable storage medium stores a computer program or instruction. When the computer program or instruction is run on a computer, the computer can execute the same as in the sixth aspect. To a communication method described in any one of the possible implementation manners of the sixth aspect.

In the twenty-third aspect, the embodiments of the present application provide a computer-readable storage medium. The computer-readable storage medium stores a computer program or instruction. When the computer program or instruction runs on a computer, the computer can execute the seventh aspect. To a communication method described in any one of the possible implementation manners of the seventh aspect.

In the twenty-fourth aspect, the embodiments of the present application provide a computer-readable storage medium. The computer-readable storage medium stores a computer program or instruction. When the computer program or instruction runs on a computer, the computer executes the eighth aspect. To a communication method described in any possible implementation manner of the eighth aspect.

In the twenty-fifth aspect, the embodiments of the present application provide a computer program product including instructions. When the instructions run on a computer, the computer executes the first aspect or one of the various possible implementations of the first aspect. Business processing methods.

In the twenty-sixth aspect, the present application provides a computer program product including instructions, which when the instructions run on a computer, cause the computer to execute a business process described in the second aspect or various possible implementations of the second aspect method.

In the twenty-seventh aspect, the embodiments of the present application provide a computer program product that includes instructions. When the instructions run on a computer, the computer executes the third aspect or one of the various possible implementations of the third aspect. Communication method.

In the twenty-eighth aspect, this application provides a computer program product including instructions, which when the instructions run on a computer, cause the computer to execute the fourth aspect or the communication method described in the various possible implementations of the fourth aspect .

In the twenty-ninth aspect, the present application provides a computer program product including instructions, which when the instructions run on a computer, cause the computer to execute the communication method described in the fifth aspect or various possible implementations of the fifth aspect .

In the thirtieth aspect, the present application provides a computer program product including instructions, which when the instructions run on a computer, cause the computer to execute a communication method described in the sixth aspect or various possible implementations of the sixth aspect.

In the thirty-first aspect, the present application provides a computer program product including instructions, which when the instructions run on a computer, cause the computer to execute a communication method described in the seventh aspect or various possible implementations of the seventh aspect .

In the thirty-second aspect, this application provides a computer program product including instructions, which when the instructions run on a computer, cause the computer to execute a communication method described in the eighth aspect or various possible implementations of the eighth aspect .

The embodiments of the present application provide a communication device for implementing various methods in various possible designs of any one of the above-mentioned first aspect to the eighth aspect. The communication device may be the aforementioned data analysis network element, or a device containing the aforementioned data analysis network element. Alternatively, the communication device may be the above-mentioned first network element, or a device including the above-mentioned first network element. The communication device may be the above-mentioned session management network element, or a device including the above-mentioned session management network element. The communication device may be the above-mentioned network management network element, or a device including the above-mentioned network management network element. The communication device may be the aforementioned application function (AF) network element, or a device including the aforementioned AF network element. The communication device includes modules, units, or means corresponding to the foregoing methods, and the modules, units, or means can be implemented by hardware, software, or hardware execution of corresponding software. The hardware or software includes one or more modules or units corresponding to the above-mentioned functions.

In a thirty-third aspect, an embodiment of the present application provides a communication device, which includes: at least one processor and a communication interface. Wherein, when the communication device is running, the processor executes the computer-executable instructions stored in the communication device, so that the communication device executes various possible designs in any one of the first aspect to the eighth aspect described above. Any method. For example, the communication device may be a data analysis network element, or a chip applied in a data analysis network element. For example, the communication device may be a first network element, or a chip applied in the first network element, or a session management network element, or a chip applied in a session management network element, or the like.

It should be understood that the communication device described in the above thirty-third aspect may further include: a bus and a memory, and the memory is used to store code and data. Optionally, at least one processor communication interface and the memory are coupled to each other.

In a thirty-fourth aspect, an embodiment of the present application provides a communication device, the communication device including: at least one processor. Wherein, at least one processor is coupled with a memory, and when the communication device is running, the processor executes the computer-executable instructions or programs stored in the memory, so that the communication device executes various possible designs as in the first aspect above. Any one of the methods.

In a thirty-fifth aspect, an embodiment of the present application provides a communication device, the communication device including: at least one processor. Wherein, at least one processor is coupled with a memory, and when the communication device is running, the processor executes the computer-executable instructions or programs stored in the memory, so that the communication device executes various possible designs such as the above-mentioned second aspect. Any one of the methods.

In a thirty-sixth aspect, an embodiment of the present application provides a communication device, the communication device including: at least one processor. Wherein, at least one processor is coupled with the memory, and when the communication device is running, the processor executes the computer-executable instructions or programs stored in the memory, so that the communication device executes various possible designs such as the above-mentioned third aspect. Any one of the methods.

In a thirty-seventh aspect, an embodiment of the present application provides a communication device, the communication device including: at least one processor. Wherein, at least one processor is coupled with the memory, and when the communication device is running, the processor executes the computer-executable instructions or programs stored in the memory, so that the communication device executes various possible designs as described in the fourth aspect. Any one of the methods.

In a thirty-eighth aspect, an embodiment of the present application provides a communication device, which includes: at least one processor. Wherein, at least one processor is coupled with the memory, and when the communication device is running, the processor executes the computer-executable instructions or programs stored in the memory, so that the communication device executes various possible designs such as the above-mentioned fifth aspect. Any one of the methods.

In a thirty-ninth aspect, an embodiment of the present application provides a communication device, the communication device including: at least one processor. Wherein, at least one processor is coupled with a memory, and when the communication device is running, the processor executes the computer-executable instructions or programs stored in the memory, so that the communication device executes various possible designs such as the above-mentioned sixth aspect. Any one of the methods.

In a fortieth aspect, an embodiment of the present application provides a communication device, and the communication device includes: at least one processor. Wherein, at least one processor is coupled with a memory. When the communication device is running, the processor executes the computer-executable instructions or programs stored in the memory, so that the communication device executes various possible designs such as the seventh aspect described above. Any one of the methods.

In the forty-first aspect, an embodiment of the present application provides a communication device, the communication device including: at least one processor. Wherein, at least one processor is coupled with a memory. When the communication device is running, the processor executes the computer-executable instructions or programs stored in the memory, so that the communication device executes various possible designs such as the eighth aspect described above. Any one of the methods.

It can be understood that the memory described in the thirty-seventh aspect to the forty-first aspect may be located inside the communication device, or may be located outside the communication device.

In a forty-second aspect, an embodiment of the present application provides a communication device that includes a processor and a storage medium. The storage medium stores instructions. When the instructions are executed by the processor, the first aspect, the second aspect, and the The method of any one of the various possible designs of any of the third, fourth, fifth, sixth, seventh, or eighth aspects.

In a forty-third aspect, an embodiment of the present application provides a communication device. The communication device includes one or more modules for implementing the first aspect, the second aspect, the third aspect, the fourth aspect, and the fifth aspect. , The sixth aspect, the seventh aspect, or the eighth aspect, the one or more modules can be combined with the above-mentioned first aspect, second aspect, third aspect, fourth aspect, fifth aspect, sixth aspect, and seventh aspect. The steps in the method of the eighth aspect or the eighth aspect correspond to each other.

In a forty-fourth aspect, an embodiment of the present application provides a chip that includes a processor and a communication interface, the communication interface is coupled to the processor, and the processor is used to run a computer program or instruction to implement the first aspect or the first aspect. A business processing method described in various possible implementations. The communication interface is used to communicate with other modules outside the chip.

In a forty-fifth aspect, an embodiment of the present application provides a chip that includes a processor and a communication interface, the communication interface is coupled to the processor, and the processor is used to run a computer program or instruction to implement the second aspect or the second aspect. A business processing method described in various possible implementations. The communication interface is used to communicate with other modules outside the chip.

In a forty-sixth aspect, an embodiment of the present application provides a chip that includes a processor and a communication interface, the communication interface is coupled to the processor, and the processor is used to run a computer program or instruction to implement the third aspect or the third aspect. A communication method described in the various possible implementations. The communication interface is used to communicate with other modules outside the chip.

In a forty-seventh aspect, an embodiment of the present application provides a chip that includes a processor and a communication interface, the communication interface is coupled to the processor, and the processor is used to run a computer program or instruction to implement the fourth aspect or the fourth aspect. A communication method described in the various possible implementations. The communication interface is used to communicate with other modules outside the chip.

In a forty-eighth aspect, an embodiment of the present application provides a chip that includes a processor and a communication interface, the communication interface is coupled to the processor, and the processor is used to run a computer program or instruction to implement the fifth aspect or the fifth aspect. A communication method described in the various possible implementations. The communication interface is used to communicate with other modules outside the chip.

In a forty-ninth aspect, an embodiment of the present application provides a chip that includes a processor and a communication interface, the communication interface is coupled to the processor, and the processor is used to run a computer program or instruction to implement the sixth aspect or the sixth aspect. A communication method described in the various possible implementations. The communication interface is used to communicate with other modules outside the chip.

In a fiftieth aspect, an embodiment of the present application provides a chip that includes a processor and a communication interface, the communication interface is coupled to the processor, and the processor is used to run a computer program or instruction to implement each of the seventh aspect or the seventh aspect. A communication method described in one possible implementation. The communication interface is used to communicate with other modules outside the chip.

In the fifty-first aspect, an embodiment of the present application provides a chip that includes a processor and a communication interface, the communication interface is coupled to the processor, and the processor is used to run a computer program or instruction to implement the eighth aspect or the eighth aspect. A communication method described in the various possible implementations. The communication interface is used to communicate with other modules outside the chip.

Specifically, the chip provided in the embodiment of the present application further includes a memory for storing computer programs or instructions.

In a fifty-second aspect, an embodiment of the present application provides a communication system. The communication system includes: the device described in the ninth aspect or any one of the possible implementation manners of the ninth aspect, and any one of the tenth aspect or the tenth aspect is possible The implementation of the device described.

In a fifty-third aspect, an embodiment of the present application provides a communication system, which includes: the device described in any possible implementation manner of the eleventh aspect or the eleventh aspect, the twelfth aspect or the twelfth aspect Any one of the possible implementations of the device described.

In a fifty-fourth aspect, an embodiment of the present application provides a communication system, the communication system includes: the device described in the thirteenth aspect or any one of the possible implementation manners of the thirteenth aspect, the fourteenth aspect or the fourteenth aspect Any one of the possible implementations of the device described.

In a fifty-fifth aspect, an embodiment of the present application provides a communication system, the communication system includes: the device described in any possible implementation manner of the fifteenth aspect or the fifteenth aspect, the sixteenth aspect or the sixteenth aspect Any one of the possible implementations of the device described.

In a fifty-sixth aspect, an embodiment of the present application provides a communication system, the communication system including: the device described in any possible implementation manner of the seventeenth aspect or the seventeenth aspect, the eighteenth aspect or the eighteenth aspect Any one of the possible implementations of the device described.

Any of the above-provided devices or computer storage media or computer program products or chips or communication systems are used to execute the corresponding methods provided above. Therefore, the beneficial effects that can be achieved can refer to the corresponding ones provided above The beneficial effects of the corresponding solutions in the method will not be repeated here.

Description of the drawings

FIG. 1 is a schematic diagram of the architecture of a communication system to which a service processing method provided by an embodiment of the application is applicable;

FIG. 2 is a schematic diagram of the architecture of another communication system provided by an embodiment of this application;

FIG. 3 is a schematic diagram of a 5G network architecture provided by an embodiment of this application;

FIG. 4 is a schematic diagram of another 5G network architecture provided by an embodiment of this application;

FIG. 5 is a schematic structural diagram of a communication device provided by an embodiment of this application;

FIG. 6 is a schematic flowchart of a service processing method provided by an embodiment of this application;

FIG. 7a is a schematic diagram of a scenario in which a terminal accesses a first service and a second service according to an embodiment of the present application;

FIG. 7b is a schematic diagram of another scenario in which a terminal accesses a first service and a second service according to an embodiment of the application;

FIG. 8 is a schematic flowchart of another service processing method provided by an embodiment of this application;

FIG. 9 is a schematic diagram of interaction between a data analysis network element and a session management network element provided by an embodiment of this application;

FIG. 10 is a schematic diagram of interaction between a data analysis network element and a user plane network element provided by an embodiment of this application;

11a to 11c are schematic diagrams of a service recommendation provided by an embodiment of this application;

FIG. 12 is a schematic flowchart of a communication method provided by an embodiment of this application;

FIG. 13 is a schematic diagram of a scenario in which a target data network is selected for a terminal according to an embodiment of the application;

FIG. 14 is a schematic diagram of another scenario for selecting a target data network for a terminal according to an embodiment of the application;

15 is a schematic flowchart of another communication method provided by an embodiment of this application;

FIG. 16 is a schematic diagram of a network management network element adjusting network slicing resources according to an embodiment of this application;

FIG. 17 is a schematic flowchart of yet another communication method provided by an embodiment of this application;

FIG. 18 is a schematic structural diagram of a communication device provided by an embodiment of this application;

FIG. 19 is a schematic structural diagram of a chip provided by an embodiment of the application.

Detailed ways

In order to clearly describe the technical solutions of the embodiments of the present application, in the embodiments of the present application, words such as "first" and "second" are used to distinguish the same items or similar items that have substantially the same function and effect. For example, the first service and the second service are only for distinguishing different services, and the order of their order is not limited. Those skilled in the art can understand that words such as "first" and "second" do not limit the quantity and order of execution, and words such as "first" and "second" do not limit the difference.

It should be noted that in this application, words such as "exemplary" or "for example" are used to indicate examples, illustrations, or illustrations. Any embodiment or design solution described as "exemplary" or "for example" in this application should not be construed as being more preferable or advantageous than other embodiments or design solutions. To be precise, words such as "exemplary" or "for example" are used to present related concepts in a specific manner.

The network architecture and business scenarios described in the embodiments of this application are intended to more clearly illustrate the technical solutions of the embodiments of this application, and do not constitute a limitation on the technical solutions provided in the embodiments of this application. Those of ordinary skill in the art will know that with the network With the evolution of architecture and the emergence of new business scenarios, the technical solutions provided in the embodiments of the present application are equally applicable to similar technical problems.

In this application, "at least one" refers to one or more, and "multiple" refers to two or more. "And/or" describes the association relationship of the associated objects, indicating that there can be three relationships, for example, A and/or B, which can mean: A alone exists, A and B exist at the same time, and B exists alone, where A, B can be singular or plural. The character "/" generally indicates that the associated objects before and after are in an "or" relationship. "The following at least one item (a)" or similar expressions refers to any combination of these items, including any combination of a single item (a) or a plurality of items (a). For example, at least one of a, b, or c can mean: a, b, c, ab, ac, bc, or abc, where a, b, and c can be single or multiple .

The system architecture and business scenarios described in the embodiments of this application are intended to more clearly illustrate the technical solutions of the embodiments of this application, and do not constitute a limitation on the technical solutions provided in the embodiments of this application. Those of ordinary skill in the art will know that with the network With the evolution of architecture and the emergence of new business scenarios, the technical solutions provided in the embodiments of the present application are equally applicable to similar technical problems. In the embodiments of the present application, the method provided is applied to an NR system or a 5G network as an example for description.

Referring to Fig. 1, Fig. 1 shows a communication system to which a service processing method provided by an embodiment of the present application can be applied. The communication system includes: a data analysis network element 100, a first network element 101, a data network (DN) 102 deployed in a first network area, and a data network 103 deployed in a second network area. Among them, both the data network 102 and the data network 103 can provide services for the terminal.

Wherein, the data network 102 or the data network 103 is deployed with one or more service servers that can provide services for the terminal. As shown in FIG. 1, a service server 1021 and a service server 1022 are deployed on the data network 102. A service server 1031 is deployed on the data network 103. Services are deployed in each service server. For example, taking the service server 1021 as the A video server as an example, the terminal can access one or more corresponding video services, voice services, or image services on the A video server through the A video server.

In the embodiments of the present application, the first network area may be referred to as a local area, and may also be understood as an area where the terminal resides. Therefore, the data network 102 may also be referred to as a local data network. The second network area in the embodiment of the present application is referred to as a remote area, and the data network 103 may also be referred to as a remote data network. The so-called local area or remote area can be determined according to the location of the terminal. In this embodiment of the present application, if the current location of the terminal is located in the first network area, the data network 102 is the local data network. Even if the terminal is located in the first network area, the terminal can still access the data network 103 deployed in the second network area.

For example, as shown in Fig. 1, taking the service server 1021 as the A video server and the service server 1031 as the B video server, the terminal can access the A video server deployed on the data network 102 or the A video server deployed on the data network 103. B video server.

In a possible implementation manner, the communication system provided in the embodiment of the present application may further include: a session management network element 104, a user plane network element 105, and a user plane network element 106. The session management network element 104 is configured with a mapping relationship between the identification of the first network area and the data network 102, and a mapping relationship between the identification of the second network area and the data network 103.

As an implementation manner, the data analysis network element 100 in the embodiment of the present application can be deployed separately. Of course, the data analysis network element 100 can also be integrated inside a network function (NF) network element, that is, the data analysis network The element 100 can be included in the NF network element as a module. In other words, a certain NF network element has a data analysis network element 100 inside. Of course, the data analysis network element 100 can also be deployed in the same device as other NF network elements. The application embodiment does not limit this. For example, the data analysis network element 100 may be integrated in the session management network element 104 or the user plane network element 105, that is, the functions of the data analysis network element 100 may be deployed in one with the session management network element 104 or the user plane network element 105. The communication system of the embodiment of the present application allows multiple data analysis network elements. For example, the data analysis network element 100 can be deployed near the session management network element 104 (the function of the data analysis network element 100 can be the same as that of the session management network element 104 Unified deployment), responsible for business dispersion analysis; another data analysis network element 100 is deployed near the user plane network element 105 (the functions of the data analysis network element 100 can be deployed in one with the user plane network element 105), responsible for doing Deep packet inspection (DPI) or deep flow inspection (DFI) is used for service identification.

The first network element 101 in the embodiment of the present application may be a network element that manages the data network 102. For example, the first network element 101 may be an application function network element or a network management network element.

As shown in FIG. 2, FIG. 2 shows another communication system provided by an embodiment of the present application. The communication system includes: a data analysis network element 200 and a session management network element 201 communicating with the data analysis network element 200.

Wherein, the session management network element 201 can manage multiple data networks (for example, the data network 202 and the data network 203), the data network 202 and the data network 203 are located in the same area, and each data network in the data network 202 and the data network 203 For the same service on the network, it is allowed to deploy a service server (Application Server, denoted as AS). For example, the business server 1 is deployed on the data network 202, and the business server 2 is deployed on the data network 203. In this way, for the same business, in order to relieve the load pressure of the AS on a certain data network, multiple data networks are allowed to be deployed at the same location, so that there will be multiple ASs for the business for load balancing. In other words, multiple data networks are allowed to exist in the same area.

Optionally, the data network 202 corresponds to the user plane network element 204, and the data network 203 corresponds to the user plane network element 205. It should be noted that the data network 202 and the data network 203 in the embodiment of the present application may correspond to the same user plane network element, or may correspond to different user plane network elements. FIG. 2 takes the data network 202 and the data network 203 corresponding to different user plane network elements as an example.

If the communication system shown in Figure 1 or Figure 2 is applied to a 5G network, the network element or entity corresponding to the user plane network element can be a user plane function (UPF) network element, a network element corresponding to a session management network element, or The entity can be a Session Management Function (SMF) network element, a network element corresponding to a policy control network element, or an entity can be a Policy Control Function (PCF) network element, a network element corresponding to an application function network element, or The entity can be an application function (AF) network element, a network element corresponding to a network management network element, or an entity can be an operation, administration, and maintenance (operation, administration, and maintenance, OAM) network element (also called Maintain network elements for operation and management). In a 5G network, the data analysis network element 10 in this embodiment of the application may be a network data analysis function (NWDAF) network element in 5GC, or it may be a management data analysis function (Management Data Analytics Function, MDAF network element or Management Data Analysis Service (MDAS) network element, or even a data analysis network element on the Radio Access Network (RAN) side.

In the packet core network (Evolved Packet Core, EPC), that is, the network element or entity corresponding to the access management network element in the 4G core network may be a mobility management entity (MME). The network element or entity corresponding to the user plane network element may be a public data network gateway (PDN GW, PGW) and a serving network element (serving gateway, SGW). The network element or entity corresponding to the policy control network element may be a policy and charging rules function unit (Policy and Charging Rules Function, PCRF). In other words, in the 4G core network, the MME has both a session management function and a mobility management function. The data analysis network element 10 may also be referred to as a network data analysis network element in the 4G core network.

Exemplarily, taking the core network as a 5G core network (5G Core, 5GC) as an example, as shown in Figure 3, in addition to the core network elements mentioned above, the 5G network may also include: (wireless) access Network access ((radio) access network, (R) AN), access and mobility management function (access and mobility management function, AMF) network element, authentication server function (authentication server function, AUSF) network element, unified data Management (unified data management, UDM) network elements. In addition, the 5G network may also include network slice selection function (NSSF) network elements, charging function (CHF) network elements, network exposure function (NEF) network elements, and users Database (User Data Repository, UDR) and network repository function (NRF) network elements. The NSSF network element, CHF network element, NEF network element, and NRF network element are not shown in the architecture diagram. The NRF network The element is mainly used for the discovery of network elements.

Among them, the terminal communicates with the AMF network element through the N1 interface (N1 for short). The AMF entity communicates with the SMF network element through the N11 interface (N11 for short). The SMF network element communicates with one or more UPF network elements through the N4 interface (N4 for short). Any two UPF network elements among one or more UPF network elements communicate through an N9 interface (abbreviated as N9). The UPF network element communicates with the data network (DN) managed and controlled by the AF network element through the N6 interface (N6 for short). The terminal accesses the network through an access network element (for example, a RAN device), and the access network element communicates with the AMF network element through an N2 interface (abbreviated as N2). The SMF network element communicates with the PCF network element through the N7 interface (N7 for short), and the PCF network element communicates with the AF network element through the N5 interface. The access network network element communicates with the UPF network element through the N3 interface (N3 for short). Any two AMF network elements communicate through the N14 interface (N14 for short). The SMF network element communicates with the UDM through the N10 interface (N10 for short). The AMF network element communicates with AUSF through the N12 interface (N12 for short). The AUSF network element communicates with the UDM network element through the N13 interface (N13 for short). The AMF network element communicates with the UDM network element through the N8 interface (N8 for short).

It should be understood that, in the network architecture shown in FIG. 3, the control plane network elements may also interact with each other using a service-oriented interface. For example, as shown in Figure 4, AMF network elements, SMF network elements, UDM network elements, or PCF network elements interact with each other using a service-oriented interface. For example, the service-oriented interface provided by the AMF network element to the outside may be Namf. The service-oriented interface provided by the SMF network element to the outside may be Nsmf. The service-oriented interface provided by the UDM network element to the outside may be Nudm. The service-oriented interface provided by the PCF network element to the outside may be Npcf. It should be understood that the related descriptions of the names of various service-oriented interfaces can refer to the 5G system architecture (5G system architecture) diagram of the prior art, which will not be repeated here.

It should be noted that FIG. 3 or FIG. 4 is only an example of a UPF network element or an SMF network element. Of course, multiple UPF network elements and SMF network elements may be included, such as SMF network element 1 and SMF network element 2, which are not specifically limited in the embodiment of the present application.

It should be noted that the access network element, AMF network element, SMF network element, UDM network element, UPF network element, and PCF network element in FIG. 3 or FIG. 4 are only a name, and the name does not constitute a limitation on the device itself. In 5G networks and other networks in the future, the network elements or entities corresponding to access network elements, AMF network elements, SMF network elements, UDM network elements, UPF network elements, and PCF network elements can also have other names. The application embodiment does not specifically limit this. For example, the UDM network element may also be replaced with a user home server (home subscriber server, HSS) or user subscription database (user subscription database, USD) or a database entity, etc., which will be uniformly explained here and will not be repeated in the following .

FIG. 5 shows a schematic diagram of the hardware structure of a communication device provided by an embodiment of the application. For the structures of the data analysis network element, the session management network element, the network management network element, the application function network element, and the first network element in the embodiments of the present application, reference may be made to the schematic diagram of the structure of the communication device as shown in FIG. 5. The communication device includes a processor 51, a communication line 54 and at least one communication interface (the communication interface 53 is exemplarily described in FIG. 5).

The processor 51 may be a general-purpose central processing unit (central processing unit, CPU), a microprocessor, an application-specific integrated circuit (ASIC), or one or more programs for controlling the execution of the program of this application. integrated circuit.

The communication line 54 may include a path to transmit information between the aforementioned components.

The communication interface 53 is used to exchange information with other devices. For example, any device such as a transceiver is used to communicate with other devices or communication networks, such as Ethernet, radio access network (RAN), and wireless Local area network (wireless local area networks, WLAN), etc.

Optionally, the communication device may further include a memory 52.

The memory 52 may be a read-only memory (ROM) or other types of static storage devices that can store static information and instructions, random access memory (RAM), or other types that can store information and instructions The dynamic storage device can also be electrically erasable programmable read-only memory (EEPROM), compact disc read-only memory (CD-ROM) or other optical disk storage, optical disc storage (Including compact discs, laser discs, optical discs, digital versatile discs, Blu-ray discs, etc.), magnetic disk storage media or other magnetic storage devices, or can be used to carry or store desired program codes in the form of instructions or data structures and can be used by a computer Any other media accessed, but not limited to this. The memory can exist independently and is connected to the processor through the communication line 54. The memory can also be integrated with the processor.

Among them, the memory 52 is used to store computer-executable instructions for executing the solution of the present application, and the processor 51 controls the execution. The processor 51 is configured to execute computer-executable instructions stored in the memory 52, so as to implement a service processing method provided in the following embodiments of the present application.

Optionally, the computer-executable instructions in the embodiments of the present application may also be referred to as application program codes, which are not specifically limited in the embodiments of the present application.

In a specific implementation, as an embodiment, the processor 51 may include one or more CPUs, such as CPU0 and CPU1 in FIG. 5.

In a specific implementation, as an embodiment, the communication device may include multiple processors, such as the processor 51 and the processor 55 in FIG. 5. Each of these processors can be a single-CPU (single-CPU) processor or a multi-core (multi-CPU) processor. The processor here may refer to one or more devices, circuits, and/or processing cores for processing data (for example, computer program instructions).

In the embodiment of this application, the specific structure of the executive body of a business processing method is not particularly limited in the embodiment of this application, as long as the program that records the code of a business processing method of the embodiment of this application can be run to It is sufficient to perform communication according to a service processing method of an embodiment of the present application. For example, the execution subject of a service processing method provided in an embodiment of the present application may be a data analysis network element, or a communication applied to a data analysis network element. The device, for example, a chip, is not limited in this application. Alternatively, the execution subject of the service processing method provided by the embodiment of the present application may be the first network element, or a communication device, such as a chip, applied to the first network element, which is not limited in this application. The following embodiments are described with an example in which the execution subject of a service processing method is the data analysis network element and the first network element respectively.

As shown in FIG. 6, FIG. 6 provides a service processing method according to an embodiment of the present application, and the method includes:

Step 601: The data analysis network element 100 obtains information related to the first terminal accessing the first service on the first data network.

The first service in the embodiment of the present application is deployed on the first service server, and the first service server is deployed on the first data network. The first service server may also be referred to as a local service server. For example, a business server deployed on the local first data network. For example, the first data network may be the data network 102 as shown in FIG. 1.

The data analysis network element 100 in the embodiment of this application can be deployed inside the session management network element 104, or it can be deployed inside the user plane network element 105, or the data analysis network element 100 is deployed alone, or inside other network elements, this application The embodiment does not limit this.

For the specific implementation of step 601, reference may be made to the description in the following embodiments, which will not be repeated here.

In a possible implementation manner, the first terminal may represent a designated area (for example, the entire range or part of the range covered by the first data network) or one or more terminals within a designated time period.

Step 602: The data analysis network element 100 obtains information related to the access of the first terminal to the second service on the second data network.

The second service in the embodiment of the present application is deployed on the second service server, and the second service server is deployed on the second data network. The second service server may also be referred to as a remote service server. For example, the second data network may be the data network 103 shown in FIG. 1.

Step 603: The data analysis network element 100 determines the first information according to the related information of the first service and the related information of the second service.

The first information is used to recommend to the first network element 101 to deploy the second service on the first data network.

In a possible implementation manner, the first service and the second service are different services. For example, the first business is A business for shopping, and the second business is B business for payment.

In a possible implementation manner, the second service may represent a group of second services that are accessed by the first terminal or other terminals and are not deployed on the first data network. The set of second services may include multiple target services. The multiple target services can be deployed on the same data network or on different data networks. For example, the set of second services may include the target service 1 deployed on the data network 2 accessed by the first terminal, and the target service 2 deployed on the data network 3 accessed by the first terminal. Alternatively, the set of second services may include the target service 1 deployed on the data network 2 and the target service 2 deployed on the data network 2 accessed by the first terminal.

The multiple target services in the embodiment of the present application may be services accessed during the process of the first terminal accessing the first service. The so-called service accessed during the process of the first terminal accessing the first service may be represented as follows: the first terminal accesses the first service while also accessing the multiple target services, or the preset after the first terminal accesses the first service The multiple target businesses were also visited during the time period. Or the first service may be one or more services accessed by the second terminal in the process of accessing the second service. The service accessed during the so-called first terminal accessing the second service can be represented as follows: the first terminal accesses one or more services while accessing the second service, or the preset after the first terminal accesses the second service One or more services are also accessed within the time period, which is not limited in the embodiment of the present application.

Step 604: The data analysis network element 100 sends the first information to the first network element 101. Correspondingly, the first network element 101 receives the first information from the data analysis network element 100.

Exemplarily, the first information includes one or more of the following information corresponding to the second service: a first identifier of the first data network and information about the second service.

In a possible implementation manner, after the first network element 101 receives the first information from the data analysis network element 100, it can trigger the process of determining whether to deploy the second service on the first data network. Of course, after the first network element 101 receives the first information from the data analysis network element 100, the process of deploying the second service on the first data network may not be triggered, depending on the internal implementation of the first network element 101.

Step 605: When it is determined to deploy the second service on the first data network, the first network element 101 sends the first identification of the first data network and identification information of the second service to the policy control network element, and the first identification Used to identify the first data network. Correspondingly, the policy control network element receives the first identification of the first data network and identification information of the second service from the first network element 101.

It is understandable that after receiving the first identification and the identification information of the second service, the policy control network element can determine that in addition to the first service, the second service is also deployed on the first data network.

In a possible implementation manner, in order to facilitate the first network element to determine the type of the first information, the first information in the embodiment of the present application further includes second indication information for indicating that the type of the first information is a recommended type. This facilitates the first network element 101 to determine that the data analysis network element 100 recommends deploying the second service on the first data network. Of course, the second indication information may also be sent to the first network element 101 through a separate message. For example, the data analysis network element 100 sends to the first network element 101 second indication information for indicating that the type of the first information is the recommended type.

In a possible implementation manner, the related information of the first service includes one or more of the following information: identification information of the first terminal, a first identification corresponding to the first data network, and information of the first service. For example, the information of the first service includes one or more of the following: the identification information of the first service, the number of visits of the first service, the first slice identification, the first area information, the first time information, the first visit volume, the first One priority, first service experience, and first traffic information. The identification information of the first terminal carried in the related information of the first service and the identification information of the first terminal carried in the related information of the second service can be used as the associated identification to associate the related information of the first service with the related information of the second service .

For example, the first traffic information is used to assist the data analysis network element to determine the first service. The first flow information includes one or more of the following information: the size of the first packet, the number of the first packets, or the first packet loss rate. The first packet size is used to describe the packet size when the first terminal accesses the first service. The first packet number is used to describe the number of packets in the process of the first terminal accessing the first service, and the first packet loss rate is used to describe the packet loss rate in the process of the first terminal accessing the first service.

For example, the slice identifier involved in the embodiment of the present application may be represented by single network slice selection assistance information (S-NSSAI).

For example, the first identifier may be used to identify the first data network, and the first identifier may be represented by a first data network access identifier (DNAI).

Exemplarily, the identification information of the terminal in the embodiment of the present application may be one or more of the following: Internet protocol address (IP), subscription permanent identifier (SUPI), permanent equipment identifier (permanent equipment identifier) , PEI), generic public subscription identifier (GPSI), international mobile subscriber identifier (IMSI), international mobile equipment identity (IMEI), IP address and mobile station international Integrated service digital network number (mobile station international integrated service digital network number, MSISDN). In the following embodiments, all the identification information related to the terminal can be referred to the description here, which will not be repeated in the following.

The so-called first area information is used by the data analysis network element to determine that the first service is a service accessed by the first terminal on the first data network in the area indicated by the first area information.

The area information in the embodiment of the present application may be a tracking area (TA) or a TA list or a routing area (routing area, RA) or an RA list or a cell or a cell list (cell list). It should be noted that the network area covered by a data network includes one or more TAs or one or more RAs or one or more cells. It should be understood that the RA list includes one or more RAs, the cell list includes one or more cells, and the TA list includes one or more TAs. For the following descriptions that involve area information, please refer to the content here, and will not be repeated here.

The so-called first time information is used by the data analysis network element to determine that the first service is a service accessed by the first terminal on the first data network within the time period indicated by the first time information. For example, the time period indicated by the time information is from March 1, 2018 to March 8, 2018. In this way, the data analysis network element can determine that the first service is the service that the first terminal accesses on the first data network from March 1, 2018 to March 8, 2018. For the following descriptions that involve time information, please refer to the content here, and will not be repeated in the following.

The number of visits to the first service is used to describe the number of times the first terminal accesses the first service on the first data network or is used to describe the number of times the first service on the first data network is accessed. If the number of visits of the first service is used in combination with the first area information, it indicates the number of visits of the first terminal to the first service within the area indicated by the first area information.

The first priority is used to describe the priority of the first terminal to access the first service.

The first service experience is used to describe the service experience of the first terminal accessing the first service.

The first slice identifier is used to identify the network slice used by the first terminal to access the first service.

The multiple parameters included in the related information of the first service in the embodiment of the present application can be used alone or in combination. For example, the related information of the first service includes the first area information, the number of first visits, and the first time information, which means that the first service is that the first terminal is in the area indicated by the first area information and the time indicated by the first time information. A service accessed on the first data network within a period or time window, and the number of accesses of the first service in the area indicated by the first area information and the time period or time window indicated by the first time information is the first access number.

It is worth noting that the above-mentioned number of first visits, first service experience, first packet size, first packet number, or first packet loss rate can all be the average value, variance, standard deviation, etc. of this information. In other embodiments, this information is described here, and details are not repeated in the following. For example, the service experience involved in the embodiment of this application may be an average service experience. The number of packets can also be the average number of packets.

In a possible implementation manner, the related information of the second service includes the identification information of the first terminal, the second identification of the second data network, and the information of the second service. For example, the information of the second service includes one or more of the following: the identification information of the second service, the number of visits corresponding to the second service, the second slice identifier, the second area information, the second time information, the second service experience, the first Two priority. Wherein, the second identification can be used to identify the second data network, and the second identification can be represented by the second DNAI.

Wherein, the second area information indicates the area where the first terminal accesses the second service. The so-called second time information is used by the data analysis network element to determine that the second service is a service accessed by the first terminal on the first data network during the time period or time window indicated by the second time information.

The second slice identifier is used to describe the network slice used when the first terminal accesses the second service.

The number of visits corresponding to the second service is used to describe the number of times the first terminal accesses the second service, or the number of times the second service is accessed on the second data network.

The second time information is used to indicate the time period during which the first terminal accesses the second service.

The second service experience is used to describe the service experience when the first terminal accesses the second service, and the second priority is used to describe the second priority corresponding to the first terminal to access the second service.

Although, the data analysis network element 100 uses the first information to recommend to the first network element 101 to deploy the second service on the first data network. However, whether to deploy the second service on the first data network is determined by the first network element 101, that is, the first network element 101 can choose to deploy the second service on the first data network, or it can choose to deploy the second service on the first data network. Do not deploy the second service. Fig. 6 takes the first network element 101 deploying the second service on the first data network as an example. If the first network element 101 determines not to deploy the second service on the first data network after receiving the first information, step 605 can be omitted.

As a possible implementation, the first network element 101 may refer to the following description for determining whether to deploy the second service on the first data network:

In a possible implementation manner, the first network element determines that the second service satisfies one or more of the following conditions, and the first network element determines to deploy the second service on the first data network. The condition may be condition 1 or Condition 2. Wherein, condition 1 includes: the second service is a service with a priority higher than or equal to a preset priority among multiple target services accessed by the first terminal, and/or the second service is a service with a higher access volume among multiple target services Or a service equal to the preset visit volume, and/or, the second service is a service with service experience higher than or equal to the preset service experience among multiple target services, that is, the data analysis network element 100 recommends the service to the first network element 101 Multiple target services are deployed on the first data network, so that the first network element 101 selects the second service from the multiple target services according to the foregoing conditions. Or the condition 2 includes: the second priority corresponding to the second service is higher than or equal to the preset priority, and/or the second visit volume corresponding to the second service is higher than or equal to the preset visit volume, and/or, The second service experience corresponding to the second service is higher than or equal to the preset service experience.

For example, if the second priority corresponding to the second service is lower than the preset priority, the first network element 101 may determine that the second service is not deployed on the first data network. If the second priority corresponding to the second service is higher than or equal to the preset priority, the first network element 101 may determine to deploy the second service on the first data network. For example, if the second access volume corresponding to the second service is lower than the preset access volume (indicating that the second service is a non-hot service), the first network element 101 may determine that the second service is not deployed on the first data network . If the second priority corresponding to the second service is higher than or equal to the preset priority (indicating that the second service is a hot service), the first network element 101 may determine to deploy the second service on the first data network. Of course, whether the first network element 101 deploys the second service on the first data network can also refer to other parameters, which are not limited in the embodiment of the present application.

In another possible implementation manner, the first network element 101 determines to deploy the second service on the first data network when it determines that the access volume of the first data network needs to be expanded. Alternatively, the first network element 101 determines that the load of the first data network is higher than the preset load, and then determines that the second service is not deployed on the first data network.

It should be noted that the first network element 101 may combine multiple of the second priority corresponding to the second service, the second access volume, the second packet loss rate, the second service experience, and the second access count to Determine whether to deploy the second service on the first data network. It is worth noting that when multiple of the second priority, the second traffic, the second packet loss rate, the second business experience, and the second number of visits corresponding to the second business are combined, the second business can meet the requirements at the same time. Each element, of course, the second service can also satisfy any one of the multiple elements. For example, when the second priority corresponding to the second service is higher than the preset priority, and the second packet loss rate is lower than the preset packet loss rate, the first network element 101 determines to deploy the second service on the first data network. Or, when the second priority corresponding to the second service is higher than the preset priority, or the second packet loss rate is lower than the preset packet loss rate, the first network element 101 determines to deploy the second service on the first data network.

In a possible implementation manner, the first network element 101 determining to deploy the second service on the first data network can be implemented in the following manner: the first network element 101 determines to separately deploy the service for the second service on the first data network The server, that is, the first service and the second service are deployed on different service servers. Alternatively, the first network element 101 determines to deploy the second service on the first service server, that is, the first service and the second service are deployed on the same service server. Alternatively, the first network element 101 determines to deploy the second service on a service server corresponding to another service, that is, the first service and the second service are deployed on different service servers, which is not limited in the embodiment of the present application. The specific deployment process may be manual participation in deployment or automatic deployment triggered by the first network element, which is not limited in the embodiment of the present application.

If the area provided by the first network element 101 to the data analysis network element 100 includes multiple data networks, or the first network element 101 provides identification information of multiple data networks to the data analysis network element 100, the The data analysis network element 100 may also determine the first data network based on the following principles. For example, the first data network may also be a data network that needs to increase the amount of access among multiple data networks deployed in a local area, or a data network of the first data network. The load is lower than that of the rest of the data network.

Since multiple services (including the first service) can be deployed on the first data network, of course, the first terminal can also access services deployed on multiple data networks (including the first data network) in the local area. Based on this, the data analysis network element can determine the first service based on the following rules.

For example, rule 1. The first service in the embodiment of the present application may be any one of multiple services accessed by the first terminal. Or, rule 2 and the first service may also be a service in which the first access times are greater than or equal to the preset times among the multiple services accessed by the first terminal. Alternatively, rule 3 and the first service may also be a service with a first priority greater than or equal to a preset priority among multiple services accessed by the first terminal. Or, rule 4, the first service may also be a service in which the first access volume is greater than or equal to the preset access volume among the multiple services accessed by the first terminal. Alternatively, rule 5, the first service may also be a service whose access frequency is higher than or equal to the preset frequency among the multiple services accessed by the first terminal. Alternatively, rule 6, the first service may also be a service in which the first service experience is greater than or equal to the preset service experience among the multiple services accessed by the first terminal. Alternatively, rule 7, the first service may also be a service in which the first service experience is greater than or equal to the preset service experience among multiple services. Alternatively, Rule 8. The first business may also be the business with the highest popularity among multiple businesses.

The so-called business popularity can be understood as the number of business visits. The multiple services accessed by the first terminal may be deployed on different data networks, or may all be deployed on the first data network 102, which is not limited in the embodiment of the present application.

The above rules can be used alone or in combination, which is not limited in the embodiments of the present application.

For example, the multiple services accessed by the first terminal are service 1, service 2, and service 3. If the first access volume of the first terminal to access service 1 is greater than the first access volume of service 2 and the access volume of first service 3. Then the first business is business 1.

In a possible implementation manner, the second service in the embodiment of the present application may be a service that the first terminal also accesses in the process of accessing the first service. For example, as shown in Figure 7a, take the first service as the A sports video service deployed on the first service server as an example, and the second service as the shopping service. If the user watches the A sports video service through the first terminal In the process, the user can click on the live advertisement recommendation in the A sports video service, thereby using the first terminal to access the shopping service deployed on the second data network. However, because the second data network is deployed in a remote area, this will cause a longer delay for the first terminal to access the second service. Based on this, the data analysis network element 100 may recommend the first network element 101 to deploy the second service on the first data network. In this way, when the user is watching the A sports video service through the first terminal later, he can access the shopping service deployed on the first data network instead of accessing the second service deployed on the second data network.

It should be noted that, as shown in FIG. 7b, the user may visit the shopping mall app1 or the shopping mall app2 to purchase or browse sports goods according to the live broadcast advertisement recommendation during the process of watching the live sports broadcast through the first terminal. For example, some terminals watch live broadcasts through a sports service deployed on the first data network, and then go to the shopping mall app1 to purchase or browse sports goods based on recommendations, while other terminals watch live broadcasts through the b sports service deployed on the first data network. Live broadcast, and then go to shopping mall app2 to buy or browse sports goods based on recommendations. However, the shopping mall app1 is deployed on the application server 1, and the shopping mall app2 is deployed on the application server 2. Therefore, the first network element 101 can decide whether to deploy the application server 1 or the application server 2, or both on the first data network. Both are deployed.

In a possible implementation manner, the data analysis network element 100 recommends to the first network element 101 to deploy the shopping mall app1 on the application server 1 and the shopping mall app2 on the application server 2 on the first data network. The analysis network element 100 can also send the predicted application server 2 and the business access volume of the shopping service on the application server 1 to the first network element 101, so that the first network element 101 can deploy the business server of the business pair with the larger business access volume. . For example, as shown in Figure 7b, the first network element 101 determines that the corresponding service access volume on the application server 1 is greater than the service access volume of the service on the application server 2, or the first network element 101 determines the service access volume of the a sports service ( 400,000) is greater than the business access volume of the b sports service (10,000), or the priority of the a sports service is higher than the priority of the b sports service, then the first network element 101 deploys the application server 1 on the first data network. After that, the terminal can access the shopping mall app1 through the first data network.

In a possible implementation manner, step 603 in the embodiment of the present application can be implemented in the following manner: the data analysis network element 100 determines the first service and the second service according to the related information of the first service and the related information of the second service. Related information between businesses. The data analysis network element determines the first information according to the associated information.

In a possible example, the associated information includes: one or more of the following parameters corresponding to the access to the second service in the process of the first terminal accessing the first service: frequency, probability, service experience or priority; Alternatively, the first terminal accesses one or more of the following parameters corresponding to the first service in the process of accessing the second service: frequency, probability, service experience, or priority.

The so-called access to the second service when the first terminal accesses the first service can be understood as: the first terminal accesses the first service while also accessing the second service, or the preset time after the first terminal accesses the first service The second business was also visited in the paragraph. The so-called access to the first service in the process of the first terminal accessing the second service can be understood as: the first terminal accesses the first service while accessing the second service, or the preset time after the first terminal accesses the second service The first business was also visited in the paragraph.

In a possible example, the associated information is used to describe that the parameters corresponding to the access to the second service in the process of the first terminal accessing the first service satisfy the first condition; or, the associated information is used to describe When the first terminal accesses the second service, the parameter for accessing the first service satisfies the first condition;

The first condition includes one or more of the following: the number of times is higher than or equal to the preset threshold of times, or the probability is greater than or equal to the preset probability, or the service experience is higher than or equal to the preset service experience, or the priority is high At or equal to the preset priority.

For example, taking multiple target services as business 1 and business 2 in order, the first terminal accesses business 1 and business 2 in the process of accessing business 3, but the probability of accessing business 1 in the process of accessing business 3 by the first terminal is greater than The probability that the first terminal accesses the service 2 in the process of accessing the service 3, therefore, the data analysis network element 100 can determine the recommendation to deploy the service 1 on the first data network.

The so-called probability that the first terminal accesses the first service in the process of accessing the second service can be determined by the sum of the number of times the first terminal accesses the second service and the number of times the first terminal accesses the second service. The number of times the first service is accessed during the second service is obtained.

In a possible implementation manner, the second service in the embodiment of the present application may also be the most popular service determined by the data analysis network element 100. At this time, the first terminal may not have accessed the second service, but except for the second service. A terminal other than a terminal usually accesses the second service while accessing the first service deployed on the first data network. Therefore, the data analysis network element 100 may also recommend the first network element 101 to deploy the second service on the first data network.

In the embodiment of the present application, the first terminal can access one or more target services. Assuming that each target service in the one or more target services corresponds to a data network, the data analysis network element 100 can determine the service access volume of the second service. The one or more target services with the largest amount of service visits, or the second priority corresponding to the second service is the one with the highest priority among the one or more target services, or the first terminal accesses the second service corresponding to The number of visits is the largest number of visits among the one or more target services that the first terminal has accessed. For example, the first terminal can access video 1 deployed on the first data network, and accesses the service 1 deployed on the data network 1 and access Service 2 deployed on the data network 2, but the number of times the first terminal accesses the service 1 is greater than or equal to the number of times the first terminal accesses the service 2 deployed on the data network 2. Therefore, the data analysis network element 100 can determine the second The business is business 2, so the second data network is data network 2.

In another possible implementation manner, the second service in the embodiment of the present application may represent one or more services deployed on different data networks accessed by the first terminal. In this case, the first network element 101 A service can be selected from one or more services deployed on different data networks to determine that it needs to be deployed on the first data network.

In a possible embodiment, as shown in FIG. 8, in the embodiment shown in FIG. 8, steps 802 to 804 are a possible implementation of step 601, and step 806 is a type of step 603. Possible implementations: Step 807 to step 808 are the same as step 604 to step 605.

In a possible implementation manner, the method provided in this embodiment of the present application may further include step 801 before step 802. Wherein, in step 801, the first network element 101 sends a first request message to the data analysis network element 100. Correspondingly, the first network element 101 receives the first request message from the data analysis network element 100.

Wherein, the first request message is used to request the first information. The first request message includes first indication information that the type of the first information requested by the first network element 101 is a recommendation (Recommendations) type. It is understandable that, when the first request message has the meaning of requesting recommendation type information, the first indication information may be omitted.

Exemplarily, the first request message may be an analysis subscription service operation (Nnwdaf_AnalyticsSubscription_Subscribe).

Optionally, the first request message also includes filtering information, which is used to limit the scope of the data analysis network element 10 collecting information related to the first service.

Exemplarily, the filtering information may include the first identifier corresponding to the first data network and one or more of the following: network slice type (S-NSSAI), service identification information (Application ID), area information (Network Area), time Information (Time Information).

For example, if the first network element 101 provides area information to the data analysis network element 100, the data analysis network element 100 can collect services in the area indicated by the area information. For example, if the first network element 101 provides time information to the data analysis network element 100, the data analysis network element 100 can collect services within the time period or time window indicated by the time information.

It should be noted that the area information provided in the filtering information includes the area described by the first area information, and the time information includes the time described by the first time information.

Step 802: The data analysis network element 100 obtains the association identifier corresponding to the first terminal from the session management network element 104.

It is understandable that the session management network element 104 may actively report the associated identification corresponding to the first terminal to the data analysis network element 100. For example, the session management network element 104 periodically reports the identification of the first terminal to the data analysis network element 100 And the associated identifier corresponding to the first terminal. Of course, the session management network element 104 may also report the association identifier corresponding to the first terminal to the data analysis network element 100 based on the trigger of the data analysis network element 100. For the specific process, refer to the description of FIG. 9 and will not be repeated here. The association identifier in the embodiment of the present application may be the address information of the first terminal.

Step 803: The data analysis network element 100 obtains the association identifier corresponding to the first service on the first data network from the user plane network element 105.

Optionally, the data analysis network element 100 may also obtain the identification information of the first service corresponding to the first service on the first data network and at least one of the following information from the user plane network element 105: the first time window, the first Network area, number of uses, or number of visits.

In a possible implementation manner, the data analysis network element 100 may also obtain the first traffic information corresponding to the first service on the first data network from the user plane network element 105.

Exemplarily, the flow information can also be seen in Table 1.

It is understandable that the user plane network element 105 can actively report the associated identifier corresponding to the first service on the first data network and the above-mentioned parameters related to the first service to the data analysis network element 100. For example, the user plane network element 105 periodically reports to the data analysis network element 100 the associated identifier corresponding to the first service on the first data network and the above-mentioned parameters related to the first service. Of course, the user plane network element 105 can also report the associated identifier corresponding to the first service on the first data network and the above-mentioned parameters related to the first service to the data analysis network element 100 based on the trigger of the data analysis network element 100. The specific process may be With reference to the description of FIG. 10, details are not repeated here.

In a possible implementation manner, the data analysis network element 100 may also obtain the first network area and/or the first time window corresponding to the first service on the first data network from the user plane network element 105. This facilitates the data analysis network element 100 to determine that the first service is a service of the first data network in the first network area and/or within the first time window. It should be noted that the first network area and/or the first time window may be independently determined by the user plane network element 105, or may be provided by the data analysis network element 100 to the user plane network element 105, or the first network area and/or The first time window may also be selected by the user plane network element 105 from the network area and/or time window provided by the data analysis network element 100, that is, the data analysis network element 100 requests the user plane network element 105 to report the status of the first data network Information about the services in the network area 1 or time window 1, and the user plane network element 105 finally reports to the data analysis network element 100 the information about the services of the first data network in the network area 2 or time window 2. This is not limited. The network area 2 is a part or all of the network area 1, and the time window 2 is a part or all of the time window of the time window 1.

Step 804: The data analysis network element 100 obtains information related to the first terminal accessing the first service on the first data network according to the associated identifier.

Specifically, since the association identifier carried in the related information of the first service is the address information corresponding to the first terminal, the data analysis network element 100 can associate the first terminal with the related information of the first service according to the association identifier. , So as to obtain relevant information of the first service when the first terminal accesses the first data network.

For example, the address information of the first terminal may be an Internet Protocol (IP) address of the terminal or an IP 5-tuple (including the IP address of the terminal).

It should be noted that one or more terminals that the session management network element 104 may provide the first data network service to the data analysis network element 100 are terminals 1 to 5, and the user plane network element 105 provides the data analysis network element 100 with the first data network service. The business on the data network can include business 1 to business 5. The business information of business 1 and the business information of business 3 include the address information of terminal 1, the business information of business 2, the business information of business 4, and the business information of business 5. The address information of any one of the terminal 2 to the terminal 5 may not be included in the terminal. Therefore, the first terminal may be the terminal 1, and the first service when the first terminal accesses the first data network may be the service 1 and the service 3. That is, not every terminal provided by the session management network element 104 to the data analysis network element 100 is associated with the service provided by the user plane network element 105.

Step 805 is the same as step 602, and will not be repeated here.

Step 806: When the data analysis network element 100 determines that the second service is not deployed on the first data network, the data analysis network element 100 determines the first information according to the related information of the first service and the related information of the second service.

As a possible implementation manner, as shown in FIG. 9, step 802 in the embodiment of the present application can be implemented through step 901 and step 902:

Step 901: The data analysis network element 100 sends a second request message to the session management network element 104, and correspondingly, the session management network element 104 receives the second request message from the data analysis network element 100. The second request message is used to request the session management network element 104 to provide information about one or more terminals of the first data network service. The second request message includes the first identifier corresponding to the first data network.

Exemplarily, the second request message may be Nsmf_EventExposure_Subscribe.

Exemplarily, the second request message may further include: Event ID=QFI Allocation, any one of the first network area and the first time window. Among them, QoS Flow Identifier Allocation (QFI Allocation) is used to request session information on the session management network element 104, including one or more of the following information: data network name (DNN), slice identifier , Session ID, terminal address information. The first network area and/or the first time window are used to instruct the session management network element 10 to collect session information in the first network area and/or the first time window. In the 5G network, the session identifier may be the PDU session ID. For example, the session identifier in the 4G network may be the default bearer identifier (Default Bearer ID) in the PDN connection.

It is understandable that if the second request message includes the first network area and/or the first time window, the second request message instructs the session management network element 104 to provide the data analysis network element 100 that the first data network is in the first network Information of one or more terminals served within the area and/or the first time window.

The first network area is included in the network area covered by the first data network, and may be the entire area of the network area covered by the first data network, or may be a part of the network area covered by the first data network. There is no restriction on this.

It should be understood that the data analysis network element 100 provides the session management network element 104 with the first network area and/or the first time window, so that the session management network element 104 can reduce the collection of one or more access or access to the first data network. The range of the terminal information can reduce the load of the session management network element 104.

Step 902: The session management network element 104 provides information about one or more terminals of the first data network service to the data analysis network element 100. Correspondingly, the data analysis network element 100 receives one or more terminals from the session management network element 104 Information.

One or more terminals served by the first data network may also be understood as: one or more terminals accessing or accessing the first data network.

For example, the information of one or more terminals may include location information or time information where each terminal resides, address information of the terminal, and identification information of the terminal. The one or more terminals include the first terminal.

It should be noted that if the data analysis network element 100 provides the first network area and/or the first time window to the session management network element 104, the one or more terminals are all of the first data network in the first network area. An area or a part of an area, and/or a terminal served in a part or all of the first time window.

In addition, the location information provided by the session management network element 104 to the data analysis network element 10 of each terminal in the embodiment of the present application can be obtained from the access management network element by the session management network element 104 through the event open subscription (Namf_EventExposure_Subscibe) service operation. (For example, AMF network element) to subscribe. Wherein, the Namf_EventExposure_Subscibe service operation carries the event identifier as the location information of the terminal, and the filtering information is the identifier of one or more terminals. That is, the Namf_EventExposure_Subscibe service operation is used to subscribe to the location information of one or more terminals.

As a possible implementation, as shown in FIG. 10, step 803 in the embodiment of the present application can be described in step 1001 to step 1004:

Step 1001: The data analysis network element 100 sends a third request message to the user plane network element 105. Correspondingly, the user plane network element 105 receives the third request message from the data analysis network element 100. The third request message is used to request information about one or more services on the first data network.

In a possible implementation manner, the third request message may further include the first identifier of the first data network and one or more of the following information: the first network area and/or the first time window. The third request message can also be a subscription request. In this way, when the data analysis network element 100 sends a subscription request to the user plane network element 105, the subsequent user plane network element 105 can report one or more data on the first data network according to the subscription request. Business information.

Exemplarily, the third request message may be the Nnwdaf_AnalyticsSubscription_Subscribe service operation. Among them, the Nnwdaf_AnalyticsSubscription_Subscribe service operation includes the analysis ID (Analytics ID) = Identified Application (identified business ID), analysis filter (Analytics Filter) = the DNAI of the first data network, the first time window and/or the first network area) .

Among them, the Identified Application is used to request the data analysis network element deployed on the user plane network element 105 for service information obtained by the data analysis network element through a service identification model (such as DPI or DFI), and the service information includes at least the corresponding service flow The business identifier and the address information of the business flow.

For example, the address information of the service flow is an IP 5-tuple.

Step 1002: The user plane network element 105 subscribes to the first data network the traffic information on the first data network.

Specifically, see Table 1 for flow information.

Step 1003: The user plane network element 105 determines the service information on the first data network based on the service identification model (such as DPI or DFI) and the traffic information on the first data network.

It should be noted that the situation where the data analysis network element 100 obtains the identification information of the service from the user plane network element 105 may include: the user plane network element 105 uses the data analysis network element deployed on the user plane network element 105 according to traffic information DPI/DFI is used to determine the identification information of the service, and then the data analysis network element deployed on the user plane network element 105 provides the data analysis network element 100 with the identification information of the service. In addition, the data analysis network element 100 can skip the data analysis network element deployed on the user plane network element 105 to obtain traffic information from the user plane network element 105, and then the data analysis network element 100 will do the identification of the DPI/DFI determination service. information.

It should be noted that the service information, service flow information, and flow information in the embodiments of the present application all include the information on the slave UPF network element in Table 1, which is described here in a unified manner.

Step 1004: The user plane network element 105 sends a third response message to the data analysis network element 100. Correspondingly, the data analysis network element 100 receives the third response message from the user plane network element 105. The third response message includes the identification information of the first service and the quintuple information or triplet information of the first service. For example, the quintuple information may be an IP quintuple, and the IP quintuple includes a source IP address, a source port number, a destination IP address, a destination port number, and a transport layer protocol. The triplet information may be an IP triplet. Among them, for the upstream data flow, the source IP address is the IP address of the terminal, and for the downstream data flow, the destination IP address is the IP address of the terminal.

Exemplarily, the third response message may be Nupf_EventExposure_Notify.

It should be noted that the user plane network element 105 involved in steps 1001 to 1004 may be a data analysis network element deployed in the user plane network element 105. The data analysis network element 100 involved in steps 1001 to 1004 may be deployed separately, or may be a data analysis network element deployed in the session management network element 104.

Table 1

As a possible implementation of step 603, the method for the data analysis network element in the embodiment of the present application to generate the recommendation result recommending the deployment of the service on the first data network is as shown in the following steps 10 to 12:

Step 10. The data analysis network element constructs a service similarity matrix W according to the service access matrix A of each terminal in one or more cells covered by the first data network, as shown in FIG. 11a.

Note 1: In matrix A in Figure 11a, each row represents a terminal, and each column represents a service. The rows and columns in the matrix W are businesses, and each row represents a business related to the row's business.

For example, if in the first row of A, terminal 1 accesses service m, then the mth column of the first row of matrix A is marked as 1. Or more complicated, the location can be marked as the number of times the terminal 1 accesses the service 1 X, depending on the specific algorithm, and will not be repeated this time. Among them, 1st nn represents the first nearest neighbor. 2nd nn means the second nearest neighbor.

The matrix A shown in FIG. 11a includes related information of the first service of the first terminal and related information of the second terminal. The first terminal and the second terminal may be multiple terminals. The matrix W represents the association information, that is, the association information between the first service and the second service, and the similarity matrix. The second column vector in FIG. 11a is related information of the first service on the first data network (not limited to a certain terminal).

For example, the above-mentioned nearest neighbor may use the K-NN (K nearest neighbor, K nearest neighbor) algorithm, and the goal is to find the similarity between one service and another one or more services, which can be used for service recommendation.

Step 11. The data analysis network element obtains the recommended service list of each terminal according to the access list of each terminal in the current cell and the service similarity matrix W, as shown in Figure 11b below.

Note 2: The vector on the left side of the equal sign "=" represents the final recommended business list. The vector on the right side of the equal sign represents the current terminal service access observation situation.

Step 12. The data analysis network element summarizes the service recommendation list of each terminal (that is, the so-called N Popular Files in FIG. 11c) and finally obtains the service recommendation list of the entire cell, as shown in FIG. 11c below.

Specifically, the data analysis network element obtains the service recommendation list of the entire cell (including one or more target services), then the data analysis network element can select the top N target services with the highest traffic volume from the service recommendation list as the second business.

With reference to FIG. 2, as shown in FIG. 12, a communication method provided by an embodiment of the present application is shown, and the method includes:

Step 1201: The data analysis network element 200 obtains service information corresponding to each of the multiple data networks in the first area.

Among them, see Table 1 for service information on each data network.

In a possible implementation manner, for the manner in which the data analysis network element 200 obtains the foregoing information, refer to steps 802 to 803, and details are not described herein again.

For example, with reference to FIG. 2, the multiple data networks may be a data network 202 and a data network 203.

Among them, the same service is deployed on multiple data networks.

Step 1202: The data analysis network element 200 determines the respective service dispersion (Service Dispersion) of each data network according to the information of the service corresponding to each data network, and the service dispersion of a data network is used to reflect the service corresponding to the data network. Views.

The business dispersion degree in the embodiment of this application can also be replaced by words such as business popularity, business access rule, etc., which is not limited in the embodiment of this application.

In a possible implementation manner, the data analysis network element 200 can determine the service access volume rule of the service according to the feature extraction method according to the service access volume of the service at different historical times in the service information corresponding to each data network, and then take it as The degree of dispersion of the business. For example, the data analysis network element 200 may average the service access volume of the service at different historical times to obtain the service dispersion degree of the service.

For example, for a single cell and a single service, the data analysis network element 200 may collect the service access volume on the first data network according to the granularity every n (for example, n=2) hours per day, as shown in Table 2. Of course, Table 2 uses the data analysis network element 200 to collect data in units of days. Of course, the data analysis network element 200 may also collect data in units of years or months, which is not limited in the embodiment of the present application.

Table 2 The number of business visits in different time periods of the first network slice collected by the data analysis network element

小时Hour	00	22	44	66	88	1010	1212	1414	1616	1818	2020	22twenty two
第1天业务访问量Business visits on day 1	55	……	……	……	……	……	161161	……	……	11	……	……
第2天业务访问量Business visits on day 2	66	……	……	……	……	……	160160	……	……	22	……	……
第3天业务访问量Business visits on day 3	55	……	……	……	……	……	159159	……	……	11	……	……
第4天业务访问量Business visits on the 4th day	44	……	……	……	……	……	158158	……	……	22	……	……
……	……	……	……	……	……	……	……	……	……	……	……	……

Based on Table 2, the data analysis network element 200 may average the service access volume corresponding to the first data network at different historical times to obtain the service dispersion degree of the first data network, as shown in Table 3.

Table 3 Business dispersion degree of the first data network

小时Hour	00	22	44	66	88	1010	1212	1414	1616	1818	2020	22twenty two
每天每个时间段的业务访问量Business visits in each time period of the day	55	……	……	……	……	……	160160	……	……	22	……	……

It should be noted that Table 3 shows the business dispersion degree calculated by taking the average value as an example. Of course, it is also possible to assign a weight to the business visit volume of each stage corresponding to the same time period, and then calculate the business dispersion degree. For example, the business visit volume on the 1st day of time period 0 corresponds to weight 1, the business visit volume of time period 0 on the 2nd day corresponds to weight 2, and the business visit volume of time period 0 on the xth day corresponds to weight x, Then the statistical information of business visits in time period 0 is (business visits in time period 0 on the first day × weight 1 + business visits in time period 0 on the second day × weight 2 +,,, + time period 0 in Business visits on day x×weight x)/x.

For example, for a payment service in a data network, from 11:50 to 12:00 noon, the traffic volume of a business area is 289/291/305/310/301/308, etc., data analysis network element 200 can determine that the business dispersion degree of the business in the business district from 11:50 to 12:00 noon is 300.

Step 1203: The data analysis network 200 sends the service dispersion degree of multiple data networks in the area to the session management network element 201. Correspondingly, the session management network element 201 receives the service dispersion degree of multiple data networks in the area from the data analysis network 200.

Step 1204: The session management network element 201 selects a target data network that provides services for the terminal from the multiple data networks according to the service dispersion degree of multiple different data networks in the area.

In a possible implementation manner, the business dispersion degree of a data network also corresponds to the first time window, that is, the business dispersion degree of the data network is also used to determine the business access volume of the data network in the first time window .

It should be understood that after the session management network element 201 selects the target data network for the terminal, the terminal can establish a session with the user plane network element corresponding to the target data network to access the target data network.

Example 1-1,

The service dispersion degree corresponding to the target data network in the embodiment of the present application is lower than the preset dispersion degree threshold. Further, the business dispersion degree corresponding to the target data network is the lowest among the business dispersion degrees of different data networks. The lowest service dispersion of the target data network indicates that the target data network has the lowest service access volume, that is, the load of the target data network is the lowest among the loads of different data networks. By selecting the data network with the lowest load to provide services to the terminal, this can be Reduce the load of the target data network and realize the load balance of the data network.

On the one hand, in the process of the terminal requesting the establishment of a Packet Data Unit (PDU) session, the session management network element 201 may select a target data network for the terminal according to the degree of service dispersion of multiple data networks. For example, as shown in Figure 13: Step 1. The AF network element provides the PCF network element with a list of DNAI supported by different DNNs and S-NSSAIs. Among them, the DNAI list includes the mutual correspondence between DNN, S-NSSAI, and one or more DNAIs (one or more DNAIs are used to identify one or more data networks). Step 2. The terminal sends a PDU session (Session) establishment/modification request to the session management network element 201, where the PDU session establishment/modification request carries the ID of the session to be established or modified (PDU Session ID), DNN and S -NSSAI. Step 3. The session management network element 201 sends a request message to the PCF network element, where the request message includes DNN and S-NSSAI. The request message is used to query the PCF network element for the list of DNAI supported by DNN and S-NSSAI. Step 4. The PCF network element feeds back a response message to the session management network element 201. The response message includes the DNAI list supported by DNN and S-NSSAI, including the DNAI corresponding to the data network 202 1, the DNAI 2 corresponding to the data network 203, and other candidate DNAIs. That is to say, the PCF network element tells the session management network element 201 that for DNN and S-NSSAI, the terminal can access the data network 202, the data network 203, and other candidate data networks. Step 5. The session management network element 201 can be based on the network area (tracking area identifier (TAI), TAI list (List), cell ID or cell ID List identifier) and the identifier corresponding to the data network (for example, DNAI) Correspondence between the two and the current location information of the terminal, it is determined that both the data network 202 and the data network 203 can provide services for the terminal. Both the data network 202 and the data network 203 can provide A video, which is determined by DNN and S-NSSAI. After that, the session management network element 201 can determine whether the data network 202 or the data network 203 is based on the business dispersion degree of the data network 202 and the data network 203 Provide services for the terminal.

For example, as shown in Figure 13, it is assumed that the service access volume of the data network represents the load of the data network. Both the data network 202 and the data network 203 are deployed with A video servers. It can be seen from Figure 13 that the service access volume of the A video server deployed on the data network 202 is 50,000, while the A video server deployed on the data network 203 The number of business visits is 150,000. Although both the data network 202 and the data network 203 can provide the same service for the terminal, in order to prevent the data network 203 from being overloaded, the session management network element 201 can select the data network 202 to provide services for the terminal, so that the data network 202 and the data network can be balanced. 203 load between.

On the other hand, the session management network element 201 selects the local data network 202 to provide services for the terminal according to the selected DNAI 1 and the current residence area of the terminal. So far, in the entire PDU Session, in addition to the two nodes of the terminal itself and the RAN, the other two nodes (UPF, data network 202) have been selected, the PDU Session is successfully established (UE-RAN-UPF-data network 202), and the terminal can Access the business on the data network 202 through this session. Subsequent network changes, service migration, etc., if the session management network element 201 finds that the service access volume of the data network 202 is greater than the service access volume of the data network 203, the uplink classifier (UL) can be inserted into the PDU session of the terminal. CL), service migration and other means transfer the data network that the PDU Session needs to connect from the data network 202 to the data network 203, so as to relieve the load pressure of the data network 202.

Example 1-2,

The target data network is the one with the highest business dispersion among the business dispersion of different data networks, or the target data network is the data network with the business dispersion higher than the preset dispersion threshold among multiple data networks. In this case, it can be considered that the higher the degree of business dispersion indicates that the content provided by the target data network is richer, in other words, the highest degree of business dispersion indicates that the popularity of the services deployed on the target data network is higher, and the popularity is higher. The business of, can usually be allocated more resources, so this can assist the terminal to access the relatively hot business, reduce the access delay, packet loss, etc.

In Example 1-2, the higher the degree of service dispersion of the data network, that is, the greater the traffic access of the data network, it means that the content provided by a certain service of the data network is richer. Taking the service of A video as an example, a data network 203 and a data network 202 may be deployed in a certain area, but only the data network 202 can provide a very popular TV series, then the data network 203 will have a lot of business visits However, because the data network 202 has a large storage space and a high total bandwidth, the load is not a problem. Therefore, for a new access request of the terminal, the terminal can also be allowed to access the data network 202. Therefore, the session management network element 201 can assist in selecting a data network with a higher degree of service dispersion (Predictions or Predictions) for terminal services according to the degree of service dispersion of different data networks in the same network area, which can assist the terminal to directly access the desired data network. The content to be seen, reduce access delay, packet loss, etc.

It should be noted that although the same service is deployed on multiple data networks, the content presented on different data networks may be different even if it is the same service. For example, if the service is an A video service, the A video service server is deployed on both the first data network in the first area and the second data network in the second area, but the A video service server is deployed on the first data network and the second data network. The content of the video service server is inconsistent. Taking into account the regional differences, the content of the A video service server deployed on the first data network tends to provide videos that are locally related to the first area, and the content of the A video service server deployed on the second data network It tends to provide videos that are locally related to the second area, so even the same service can have different service access volumes on different data networks.

For example, as shown in FIG. 14, the session management network element 201 determines that both the data network 202 and the data network 203 in the residence area of the terminal can provide services for the terminal according to the PDU session establishment request of the terminal, but as shown in FIG. 14, The service visit volume corresponding to the data network 203 is 150,000, and the service visit volume corresponding to the data network 202 is 50,000. Therefore, the popularity of the services deployed on the data network 203 is higher than that of the services deployed on the data network 202. Therefore, the session management network The element 201 may select the data network 203 for the terminal, so that a PDU session can be established between the terminal and the user plane network element corresponding to the data network 203 to access services on the data network 203.

In a possible implementation manner, the method provided in the embodiment of the present application may further include: the session management network element 201 sends a first request message for requesting service dispersion of multiple data networks in the area to the data analysis network element 200 . Correspondingly, the data analysis network element 200 receives the first request message from the session management network element 201.

In a possible design, the first request message includes that the service dispersion analysis result type requested by the session management network element is a recommended type or a statistical type. The first request message may also include indication information for requesting service dispersion of multiple data networks in the area.

It is worth noting that if the data analysis network element 200 actively determines the service dispersion degree of different data networks, the step of the session management network element 201 sending the first request message to the data analysis network element 200 can be omitted.

As shown in FIG. 15, FIG. 15 shows a communication method provided by an embodiment of the present application, and the method includes:

Step 1501: The data analysis network element determines the service dispersion degree corresponding to the first network slice, the service dispersion degree is used to reflect the service access volume of the first network slice, and the service dispersion degree is used to assist the network management network element to adjust the second network slice on the base station Resource configuration of a network slice or assisting the base station to schedule resources for the first network slice.

Step 1502: The data analysis network element sends the service dispersion degree corresponding to the first network slice to the network management network element or the base station. Correspondingly, the network management network element receives the service dispersion degree corresponding to the first network slice from the data analysis network element.

Step 1503: The network management network element adjusts the resource configuration of the first network slice according to the service dispersion degree corresponding to the first network slice.

Step 1504: The base station adjusts the air interface resource scheduling of the first network slice according to the service dispersion degree corresponding to the first network slice.

In this solution, the network management network element receives the service dispersion degree corresponding to the first network slice, so that it is convenient for the network management network element to determine the service access volume of the first network slice, so as to process the resource configuration of the first network slice in time, for example, increase the first network slice. The proportion of resources of a network slicing to meet service access requirements.

In a possible embodiment, the method provided in the embodiment of the present application further includes: the network management network element or the base station sends a first request message to the data analysis network element, and correspondingly, the data analysis network element receives the first request message from the network management network element or the base station. A request message. The first request message is used to request the service dispersion degree corresponding to the first network slice.

In a possible implementation manner, the first request message should include the identification information of the first network slice and one or more of the following information: the second network area and/or the second time period. In this way, it is convenient for the data analysis network element to determine the service dispersion degree of the network management network element requesting the first network slice in the second network area and/or the second time period.

Exemplarily, the first request message includes indication information for requesting the service dispersion degree corresponding to the first network slice.

In a possible embodiment, the method provided in the embodiment of the present application further includes: the data analysis network element sends the first network area and/or the first time period corresponding to the service dispersion degree to the network management network element or the base station. Correspondingly, the network management network element or the base station receives the first network area and/or the first time period corresponding to the service dispersion degree from the data analysis network element. In this way, it is convenient for the network management network element or the base station to determine that the service dispersion degree is used to reflect the service access volume of the first network slice in the first network area and/or the first time period.

Wherein, the first network area may be a part or all of the second network area. The first time period may be the entire time period or part of the second time period, which is not limited in the embodiment of the present application.

Since the content of the business dispersion is different, the data analysis network element has different ways to determine the business dispersion. Therefore, the following will be introduced separately:

Example 2-1. In a possible implementation manner, the degree of business dispersion is the statistical information of business visits, and the statistical information of business visits is used to reflect the business visits of the first network slice in each time period in different time periods Accordingly, step 1501 in the embodiment of the present application can be implemented in the following manner: the data analysis network element obtains the multiple service visits corresponding to each time period of the first network slice in different time periods. The data analysis network element obtains the historical law of the service access volume of the first network slice in any time period according to the multiple service access volumes corresponding to any one time period. For example, the data analysis network element may sum up multiple service visits corresponding to any one time period and take the average to obtain the historical law of the service visits of the first network slice in any one time period.

For the specific process, please refer to the descriptions in Table 2 and Table 3, which will not be repeated here.

As a possible implementation manner, step 1503 in the embodiment of the present application can be implemented in the following manner:

First, the network management network element can be based on the end-to-end key performance indicator (KPI) of the first network slice, performance measurement indicators, and the slice quality of experience (QoE) from the data analysis network element (that is, the first network slice). Service experience of a network slice in the running state) Determine the initial configuration of the first network slice on the air interface or update the resource configuration of the air interface. The specific configuration parameters are shown in Table 4.

Table 4 Air interface configuration list of the network management network element to the first network slice

In a possible implementation manner, step 1503 in the embodiment of the present application can be implemented in the following manner: the service dispersion degree is greater than or equal to a preset threshold, and the network management network element increases the resource ratio of the first network slice.

For example, as shown in Figure 16, taking the first network slice as network slice 2 as an example, the network management network element can adjust the guaranteed resource ratio of network slice 2 on its corresponding base station to 15%, and the maximum resource ratio to 70% .

In a possible implementation manner, step 1503 in the embodiment of the present application can be implemented in the following manner: the service dispersion degree is less than or equal to a preset threshold, and the network management network element reduces the resource proportion of the first network slice.

In a possible implementation manner, step 1503 in the embodiment of the present application may be implemented in the following manner: the service dispersion degree is equal to a preset threshold, and the network management network element keeps the resource proportion of the first network slice unchanged.

In a possible embodiment, the method provided in the embodiment of the present application may further include: the service dispersion is greater than or equal to a preset threshold, and the network management network element sends first indication information to the base station, and the first indication information instructs the base station to increase The air interface resource scheduled by the first network slice.

In a possible embodiment, the method provided in the embodiment of the present application may further include: the service dispersion is less than or equal to a preset threshold, and the network management network element sends second indication information to the base station, and the second indication information indicates that the base station is reduced to The air interface resource scheduled by the first network slice.

In a possible embodiment, the method provided in the embodiment of the present application may further include: the service dispersion is equal to a preset threshold, and the network management network element sends third indication information to the base station, and the third indication information instructs the base station to remain the first The size of the air interface resources scheduled by a network slice remains unchanged.

It can be understood that the adjustment of the air interface resources of the first network slice by the base station may be adjusted based on the proportion of resources configured by the network management network element for the first network slice. For example, if the proportion of resources configured by the network management network element for the first network slice is 15%N (representing the total number of air interface resources), the air interface resources of the first network slice adjusted by the base station do not exceed 15%N.

If the service dispersion degree corresponding to the first network slice also corresponds to the first time period and/or the first network area, the first indication information is specifically used to instruct the base station to increase in the first time period and/or the first network area. Inside is the air interface resource scheduled by the first network slice. The second indication information is used to instruct the base station to reduce the air interface resources scheduled for the first network slice in the first time period and/or the first network area. The third indication information is used to instruct the base station to maintain the size of the air interface resource scheduled for the first network slice in the first time period and/or the first network area unchanged.

Exemplarily, the degree of business dispersion is statistical information of business visits, and the statistical information of business visits is used to reflect the historical law of the business visits of the first network slice in the first time period. If the service access volume of the first network slice in the first time period is greater than or equal to the preset service access volume, the network management network element sends first indication information to the base station for instructing the base station to increase the first network slice in the first time period Air interface resources.

For example, taking the first time period of 10:00pm as an example, if the historical rule of business visits indicates that the visits of A video at 10:00pm are greater than or equal to the preset visit threshold, the network management network element will visit according to the service The historical law of the quantity indicates that the base station increases to schedule the air interface resources for the first network slice. Among them, Video A is a service running in the first network slice.

For example, the data analysis network element feeds back to the network management network element the service dispersion degree of the first network slice in the first network area and/or the first time period. If the network management network element determines that the traffic to A video at 10:00pm is greater than or equal to With the preset access volume, the network management network element can update the slice resource parameters on the base station for the first network slice of the A video: the largest slice proportion, the smallest slice proportion, the largest slice edge proportion, and the smallest slice edge proportion, so that Slicing resources are enlarged to meet business access requirements.

In another possible implementation manner, the service dispersion degree is service access volume prediction information, which is used to predict the service access volume of the first data network in the third time period. It is understandable that the third time period is an upcoming time period. Step 1503 in the embodiment of the present application can be implemented in the following manner: if the service dispersion degree is greater than or equal to the preset dispersion degree, the network management network element increases the resource ratio of the first network slice in the third time period. If the service dispersion degree is less than or equal to the preset dispersion degree, the network management network element reduces the resource proportion of the first network slice in the third time period.

In a possible embodiment, the method provided in the embodiment of the present application further includes: the network management network element sends fourth indication information to the base station, where the fourth indication information is used to instruct the base station to add the first network slice in the third time period Air interface resources. That is, the base station is instructed to prepare air interface resources for the first network slice in the upcoming third time period.

Specifically, if the service access volume of the first network slice in the third time period is greater than or equal to the preset access volume threshold, the network management network element sends the second indication information to the base station.

For example, when the service dispersion is the service access forecast information, if the service access forecast information predicts that the terminal accesses the B video at 21:00, the network management network element can notify the base station in advance to reserve the service according to the service access forecast information The air interface resource of the first network slice corresponding to the B video. This can avoid the inability to schedule resources in real time when the amount of access increases.

Specifically, if the traffic access volume of the first network slice in the third time period is less than or equal to the preset access volume threshold, the network management network element sends fifth indication information to the base station for instructing the base station to reduce the first network slice in the first time period. Air interface resources for three time periods. Specifically, if the traffic access volume of the first network slice in the third time period is equal to the preset access volume threshold, the network management network element sends sixth indication information to the base station for instructing the base station to keep the first network slice at the third time period. The air interface resources of the segment remain unchanged. In the embodiment of the present application, the amount of business visits equal to the preset threshold of visits may mean that the difference between the business visits and the preset threshold of visits is less than or equal to the preset difference.

In a possible implementation manner, the degree of service dispersion is service access volume prediction information, which is used to predict the service access volume of the first data network in the third time period. Correspondingly, step 1501 in the embodiment of the present application can be implemented in the following manner: the data analysis network element determines the service access according to the first service access volume corresponding to the first network slice and the historical law of the service access volume corresponding to the first network slice. Quantity forecast information. For example, the data analysis network element determines the service access volume prediction information based on the time series prediction method according to the first service access volume corresponding to the first network slice and the historical law of the service access volume corresponding to the first network slice.

Wherein, the traffic of the first service may be the current traffic of the first network slice.

Exemplarily, the data analysis network element infers the future traffic of the first network slice in a certain time period based on the current traffic volume of the first network slice and the historical law of each time period of the first network slice in different time periods, such as Based on the time series prediction method, the traffic of the first network slice in different time periods on the X+1th day predicted by the first network slice as shown in Table 5 is obtained.

Table 5 Forecasted visits of the first network slice on the X+1 day in different time periods

In a possible design, the degree of service dispersion is statistical information of business visits, and the statistical information of business visits is used to reflect the historical law of the business visits of the first network slice in different time periods. If the service access volume of the first time period in different time periods is greater than or equal to the preset service access volume, the network management network element sends third indication information to the base station for instructing the base station to increase the first network slice in the first time period Air interface resources.

In a possible implementation manner, before step 1501, the method provided in this embodiment of the present application may further include: the network management network element or the base station sends a first request message to the data analysis network element, and correspondingly, the data analysis network element receives from the network management The first request message of the network element. The first request message is used to request the service dispersion degree corresponding to the first network slice.

In an example, the first request message includes indication information for requesting the service dispersion degree corresponding to the first network slice.

In a possible implementation manner, the first request message should include identification information of the first network slice and one or more of the following information: the first network area and/or the first time period. In this way, it is convenient for the data analysis network element to determine and obtain the service dispersion degree of the first network slice in the first network area and/or the first time period.

The first request message may also carry whether the service dispersion type requested by the network management network element is a statistical type or a prediction type. If the network management network element requests the statistical type, the service dispersion degree sent by the data analysis network element to the network management network element is the statistical information of the business access volume. If the network management network element requests the prediction type, the service dispersion degree sent by the data analysis network element to the network management network element is the service traffic forecast information.

In a possible implementation manner, step 1504 provided in the embodiment of this application can be implemented in the following manner: the service dispersion degree of the first network slice is greater than or equal to the preset dispersion degree, and the base station increases the air interface resources of the first network slice Scheduling. If the service dispersion degree of the first network slice is less than or equal to the preset dispersion degree, the base station reduces the air interface resource scheduling of the first network slice. If the service dispersion degree of the first network slice is equal to the preset dispersion degree, the base station maintains the air interface resource scheduling of the first network slice unchanged.

It should be understood that if the service dispersion corresponding to the first network slice also corresponds to the first time period and/or the first network area, the base station increases the first network slice to be in the first time period and/or the first network area. Air interface resource scheduling. Or, the base station reduces the air interface resource scheduling of the first network slice in the first time period and/or the first network area. Alternatively, the base station maintains the air interface resource scheduling of the first network slice in the first time period and/or the first network area unchanged.

It should be noted that in the embodiment of the present application, the air interface resource scheduling configured by the base station for the first network slice is resource a, and the so-called increase or decrease is based on resource a as the base station. For example, the air interface resource scheduling after the first network slice is enlarged is greater than resource a. The air interface resource scheduling after the first network slice is reduced is smaller than resource a. It should be noted that if the resource ratio of the first network slice is 10% to 70%, and the total resource number of the base station is N, the base station can be between 0.1N and 0.7N according to the service dispersion of the first network slice. The first network slice schedules air interface resources. Of course, the total resources of the base station may also be shared by other network slices other than the first network slice.

As shown in FIG. 17, an embodiment of the present application provides a communication method, including:

Step 1701: The data analysis network element determines the service dispersion degree corresponding to the first service deployed on the data network.

It is understandable that the first service may be one or more services deployed on the data network. The service dispersion degree corresponding to the first service can be used to reflect the service access volume of the first service.

Step 1702: The data analysis network element sends the service dispersion degree corresponding to the first service deployed on the data network to the AF network element. Correspondingly, the AF network element receives the service dispersion degree corresponding to the first service deployed on the data network from the data analysis network element. The service dispersion degree is used to determine the service access volume of the first service in the second time period.

Step 1703: The AF network element processes the resources of the first service according to the degree of service dispersion.

In a possible implementation manner, the service dispersion degree corresponding to the first service further corresponds to the first time period and/or the first network area. In this way, it is convenient for the AF network element to determine the service dispersion degree corresponding to the first service to describe the service access volume of the first service and/or the first network area.

In a possible implementation, the degree of business dispersion includes statistical information on business visits, and the statistical information on business visits is used to reflect the historical law of the business visits of the first business. Business visits in this time period. Correspondingly, step 1703 in the embodiment of the present application can be implemented in the following manner: the service access volume of the first service in the second time period is greater than or equal to the first service access volume threshold, and the AF network element notifies the data network to increase the first service The storage resources of the corresponding service server in the second time period.

For example, the service dispersion type of the first service is the Statistics type, and the AF network element assists the data network to solidify/orchestrate the resources corresponding to the AS deployed on the data network (such as storage resources for hotspot videos, AR /VR/MR computing resources and network transmission resources, etc.), easy to access at any time.

For example, historical statistics suggest that Sina Weibo has a very large number of visits at 10:00pm. According to the historical statistical law, the AF network element prepares storage resources for Sina Weibo in advance, including hot news, videos, etc., by the auxiliary data network.

In a possible implementation manner, the degree of business dispersion is business visit volume forecast information, and the business visit volume forecast information is used to predict the business visit volume of the first service in the second time period, then the embodiment of the present application Step 1703 in can be implemented in the following manner: the AF network element schedules the first service from the remote server to the data network before the second time period.

Specifically, if the service dispersion type of the first service is the prediction (Predictions) type, the AF network element specifies the decision, and the auxiliary data network dispatches the first service from the remote server to the data network for deployment before the second time period arrives. The AS to avoid real-time fetching of data from the remote when the traffic increases, which will affect the business experience.

For example, the service dispersion prediction provided by the data analysis network element to the AF network element prompts the terminal to access a certain video at 21:00. The AF network element dispatches the video buffer content from the AS deployed on the remote data network to the AS deployed on the local data network in advance according to the future prediction prompt.

In a possible implementation, the method provided in the embodiment of the present application may further include: the data analysis network element receives a first request message from the AF network element, and the first request message is used to indicate the information of the first service requested by the AF. Whether the type of business dispersion is statistical or forecast.

As shown in Table 6, Table 6 shows the degree of service dispersion output by the data analysis network element in the embodiment of the present application.

Table 6 Business dispersion

The foregoing mainly introduces the solution of the embodiment of the present application from the perspective of interaction between various network elements. It can be understood that each network element, such as a data analysis network element, a network management network element, a first network element, a session management network element, an AF network element, etc., in order to achieve the above functions, includes the corresponding structure and/or Software module. Those skilled in the art should easily realize that in combination with the units and algorithm steps of the examples described in the embodiments disclosed herein, the present application can be implemented in the form of hardware or a combination of hardware and computer software. Whether a certain function is executed by hardware or computer software-driven hardware depends on the specific application and design constraint conditions of the technical solution. Professionals and technicians can use different methods for each specific application to implement the described functions, but such implementation should not be considered beyond the scope of this application.

The embodiment of the application can divide the functional units according to the above method example data analysis network element, network management network element, first network element, session management network element, and AF network element. For example, each functional unit can be divided corresponding to each function, or Integrate two or more functions into one processing unit. The above-mentioned integrated unit can be implemented in the form of hardware or software functional unit. It should be noted that the division of units in the embodiments of the present application is illustrative, and is only a logical function division, and there may be other division methods in actual implementation.

The method of the embodiment of the present application is described above with reference to FIG. 6 to FIG. 17, and the communication device provided by the embodiment of the present application for performing the foregoing method is described below. Those skilled in the art can understand that the method and the device can be combined and referenced. The communication device provided in the embodiment of the present application can execute the above analysis method including the data analysis network element, the network management network element, the first network element, the session management network element, Steps performed by the AF network element.

In the case of adopting an integrated unit, FIG. 18 shows the communication device involved in the foregoing embodiment, and the communication device may include: a communication module 113 and a processing module 112.

In an optional implementation manner, the communication device may further include a storage module 111 for storing program codes and data of the communication device.

In an example, the communication device is a data analysis network element 100, or a chip applied in the data analysis network element 100. In this case, the communication module 113 is used to support the communication device to communicate with an external network element (for example, the first network element 101), for example, to perform the signal transceiving operation of the data analysis network element 100 in the foregoing method embodiment. The processing module 112 is configured to perform the signal processing operation of the data analysis network element 100 in the foregoing method embodiment. For example, the communication module 113 is configured to perform the receiving actions performed by the data analysis network element 100 in step 601 and step 602 in FIG. 6 of the above-mentioned embodiment. The processing module 112 is configured to support the communication device to perform the actions performed by the data analysis network element 100 in step 603 of FIG. 6. The communication module 113 is configured to support the communication device to execute the sending action performed by the data analysis network element 100 in step 604 of FIG. 6.

In a possible implementation, the communication module 113 in the embodiment of the present application is also used to support the communication device to perform step 801, step 802, step 803 in FIG. 8, step 902 in FIG. 9, and step in FIG. 10 The receiving action performed by the data analysis network element 100 in 1004. The communication module 113 is also used to support the communication device to perform the sending actions in step 901 in FIG. 9 and step 1001 in FIG. 10.

The processing module 112 is also used to support the communication device to execute the actions in step 804 and step 806 in the foregoing embodiment.

In another example, the communication device is the first network element 101, or a chip applied in the first network element 101. In this case, the communication module 113 is used to support the communication device to communicate with an external network element (for example, the data analysis network element 100), for example, to perform the signal transceiving operation of the first network element 101 in the foregoing method embodiment. The processing module 112 is configured to perform the signal processing operation of the first network element 101 in the foregoing method embodiment. For example, the communication module 113 is configured to execute the receiving action performed by the first network element 101 in step 604 of FIG. 6 in the foregoing embodiment. The communication module 113 is configured to execute the sending action performed by the first network element 101 in step 605 of FIG. 6 in the foregoing embodiment.

In a possible implementation manner, the communication module 113 provided in the embodiment of the present application is further configured to execute the sending action performed by the first network element 101 in step 801 of FIG. 8 in the foregoing embodiment. The processing module 112 is configured to support the communication device to execute the action of deploying the second service on the first data network by the first network element 101.

In another example, the communication device is a data analysis network element 200, or a chip applied in the data analysis network element 200. In this case, the communication module 113 is used to support the communication device to communicate with an external network element (for example, the session management network element 201), for example, to perform the signal transceiving operation of the data analysis network element 200 in the foregoing method embodiment. The processing module 112 is configured to perform the signal processing operation of the data analysis network element 200 in the foregoing method embodiment. For example, the communication module 113 is configured to perform the receiving action performed by the data analysis network element 200 in step 1201 of FIG. 12 in the foregoing embodiment. The processing module 112 is configured to support the communication device to perform the actions performed by the data analysis network element 200 in step 1202 in FIG. 12. The communication module 113 is configured to support the communication device to perform the sending action performed by the data analysis network element 200 in step 1203 of FIG. 12.

In another example, the communication device is a session management network element 201, or a chip applied in the session management network element 201. In this case, the communication module 113 is used to support the communication device to communicate with an external network element (for example, the data analysis network element 200), for example, to perform the signal transceiving operation of the session management network element 201 in the foregoing method embodiment. The processing module 112 is configured to perform the signal processing operation of the session management network element 201 in the foregoing method embodiment. For example, the communication module 113 is configured to perform the receiving action performed by the session management network element 201 in step 1204 of FIG. 12 in the foregoing embodiment. The processing module 112 is configured to support the communication device to perform the actions performed by the session management network element 201 in step 1204 in FIG. 12.

In another example, the communication device is a data analysis network element, or a chip applied to a data analysis network element. In this case, the communication module 113 is used to support the communication device to communicate with an external network element (for example, a network management network element), for example, to perform the signal transceiving operation of the data analysis network element in the foregoing method embodiment. The processing module 112 is configured to perform the signal processing operation of the data analysis network element in the foregoing method embodiment. For example, the communication module 113 is configured to execute the sending action performed by the data analysis network element in step 1502 of FIG. 15 in the foregoing embodiment. The processing module 112 is configured to support the communication device to perform the actions performed by the data analysis network element in step 1501 in FIG. 15.

In another example, the communication device is a network management network element, or a chip applied to a network management network element. In this case, the communication module 113 is used to support the communication device to communicate with an external network element (for example, a data analysis network element), for example, to perform the signal transceiving operation of the network management network element in the foregoing method embodiment. The processing module 112 is configured to perform the signal processing operation of the network management network element in the foregoing method embodiment. For example, the communication module 113 is configured to execute the receiving action performed by the network management network element in step 1502 of FIG. 15 in the foregoing embodiment. The processing module 112 is configured to support the communication device to perform the actions performed by the network management network element in step 1503 in FIG. 15.

In another example, the communication device is a data analysis network element, or a chip applied to a data analysis network element. In this case, the communication module 113 is used to support the communication device to communicate with an external network element (for example, an AF network element), for example, to perform the signal transceiving operation of the data analysis network element in the foregoing method embodiment. The processing module 112 is configured to perform the signal processing operation of the data analysis network element in the foregoing method embodiment. For example, the communication module 113 is configured to execute the sending action performed by the data analysis network element in step 1702 of FIG. 17 in the foregoing embodiment. The processing module 112 is configured to support the communication device to perform the actions performed by the data analysis network element in step 1701 in FIG. 17.

In another example, the communication device is an AF network element, or a chip applied to an AF network element. In this case, the communication module 113 is used to support the communication device to communicate with an external network element (for example, a data analysis network element), for example, to perform the signal transceiving operation of the AF network element in the foregoing method embodiment. The processing module 112 is configured to perform the signal processing operation of the AF network element in the foregoing method embodiment. For example, the communication module 113 is configured to perform the receiving action performed by the AF network element in step 1702 of FIG. 17 in the foregoing embodiment. The processing module 112 is configured to support the communication device to perform the actions performed by the AF network element in step 1703 in FIG. 17.

It should be noted that the communication module 113 shown in FIG. 18 may also be replaced by a communication unit, and the processing module 112 may also be replaced with reference to the processing unit. The storage module 111 can also be replaced by a storage unit. The processing unit is used to control and manage the actions of the communication device. For example, the processing unit is used to perform information/data processing steps on the communication device. The communication unit is used to support the communication device to send or receive information/data.

In a possible implementation manner, the communication unit may include a receiving unit and a sending unit, the receiving unit is used for receiving signals, and the sending unit is used for sending signals.

The processing module 112 may be a processor or a controller, for example, a central processing unit, a general-purpose processor, a digital signal processor, an application specific integrated circuit, a field programmable gate array or other programmable logic devices, transistor logic devices, Hardware components or any combination thereof. It can implement or execute various exemplary logical blocks, modules, and circuits described in conjunction with the disclosure of this application. The processor may also be a combination of computing functions, for example, a combination of one or more microprocessors, a combination of a digital signal processor and a microprocessor, and so on. The communication module may be a transceiver, a transceiver circuit, or a communication interface. The storage module may be a memory.

When the processing module 112 is the processor 51 or the processor 55, the communication module 113 is the communication interface 53, and the storage module 111 is the memory 52, the communication device involved in this application may be the communication device shown in FIG. 5.

FIG. 19 is a schematic structural diagram of a chip 150 provided by an embodiment of the present application. The chip 150 includes one or more (including two) processors 1510 and a communication interface 1530.

Optionally, the chip 150 further includes a memory 1540. The memory 1540 may include a read-only memory and a random access memory, and provides operation instructions and data to the processor 1510. A part of the memory 1540 may also include a non-volatile random access memory (NVRAM).

In some embodiments, the memory 1540 stores the following elements, execution modules or data structures, or their subsets, or their extended sets.

In the embodiment of the present application, the corresponding operation is executed by calling the operation instruction stored in the memory 1540 (the operation instruction may be stored in the operating system).

One possible implementation is that the chips used in the data analysis network element, the first network element, the network management network element, the session management network element, and the AF network element have similar structures, and different devices can use different chips to realize their own Function.

The processor 1510 controls the processing operations of any one of the data analysis network element, the first network element, the network management network element, the session management network element, and the AF network element. The processor 1510 may also be referred to as a central processing unit (CPU) .

The memory 1540 may include a read-only memory and a random access memory, and provides instructions and data to the processor 1510. A part of the memory 1540 may also include NVRAM. For example, in an application, the memory 1540, the communication interface 1530, and the memory 1540 are coupled together by a bus system 1520, where the bus system 1520 may include a power bus, a control bus, and a status signal bus in addition to a data bus. However, for clarity of description, various buses are marked as the bus system 1520 in FIG. 19.

The methods disclosed in the foregoing embodiments of the present application may be applied to the processor 1510 or implemented by the processor 1510. The processor 1510 may be an integrated circuit chip with signal processing capabilities. In the implementation process, the steps of the foregoing method can be completed by hardware integrated logic circuits in the processor 1510 or instructions in the form of software. The aforementioned processor 1510 may be a general-purpose processor, a digital signal processing (digital signal processing, DSP), an ASIC, an off-the-shelf programmable gate array (field-programmable gate array, FPGA) or other programmable logic devices, discrete gates or transistors. Logic devices, discrete hardware components. The methods, steps, and logical block diagrams disclosed in the embodiments of the present application can be implemented or executed. The general-purpose processor may be a microprocessor or the processor may also be any conventional processor or the like. The steps of the method disclosed in the embodiments of the present application may be directly embodied as being executed and completed by a hardware decoding processor, or executed and completed by a combination of hardware and software modules in the decoding processor. The software module can be located in a mature storage medium in the field, such as random access memory, flash memory, read-only memory, programmable read-only memory, or electrically erasable programmable memory, registers. The storage medium is located in the memory 1540, and the processor 1510 reads the information in the memory 1540, and completes the steps of the foregoing method in combination with its hardware.

In a possible implementation manner, the communication interface 1530 is used to perform the reception of the data analysis network element, the first network element, the network management network element, the session management network element, and the AF network element in the embodiment shown in Figs. 6-17. And sending steps. The processor 1510 is configured to perform the processing steps of the data analysis network element, the first network element, the network management network element, the session management network element, and the AF network element in the embodiments shown in FIGS. 6-17.

The above communication module may be a communication interface of the device, which is used to receive signals from other devices. For example, when the device is implemented in the form of a chip, the communication module is a communication interface for the chip to receive signals or send signals from other chips or devices.

On the one hand, a computer-readable storage medium is provided. The computer-readable storage medium stores instructions. When the instructions are executed, the functions performed by the data analysis network element as shown in FIG. 6 are realized.

In a possible embodiment, when the instruction is executed, the functions performed by the data analysis network element in FIG. 8 to FIG. 10 can also be realized.

In one aspect, a computer-readable storage medium is provided. The computer-readable storage medium stores instructions. When the instructions are executed, the function of the first network element in FIG. 6 is realized.

In a possible embodiment, when the instructions are executed, the computer-readable storage medium may also implement the functions performed by the first network element as shown in FIG. 8.

On the one hand, a computer-readable storage medium is provided. The computer-readable storage medium stores instructions. When the instructions are executed, the computer-readable storage medium can also implement the data analysis network shown in Figure 12 or Figure 15 or Figure 17. Meta function.

On the other hand, a computer-readable storage medium is provided, and instructions are stored in the computer-readable storage medium. When the instructions are executed, the computer-readable storage medium can also implement the functions performed by the session management network element as shown in FIG. 12 .

On the one hand, a computer-readable storage medium is provided, and instructions are stored in the computer-readable storage medium. When the instructions are executed, the computer-readable storage medium can also realize the functions performed by the network management element as shown in FIG. 15.

On the one hand, a computer-readable storage medium is provided, and instructions are stored in the computer-readable storage medium. When the instructions are executed, the computer-readable storage medium can also realize the functions performed by the AF network element as shown in FIG. 15.

On the one hand, a computer program product including instructions is provided. The computer program product includes instructions. When the instructions are executed, the functions of the data analysis network element as shown in FIG. 6 are realized.

In a possible embodiment, when the instructions are executed, the computer program product including the instructions can also implement the functions of the data analysis network element shown in Figs. 8-10.

In another aspect, a computer program product including instructions is provided. The computer program product includes instructions. When the instructions are executed, the function of the first network element in FIG. 6 is realized.

In a possible implementation manner, when the instruction is executed, the computer program product including the instruction may also implement the function of the first network element in FIG. 8.

On the one hand, when the instructions are executed, the computer program product including the instructions can also implement the functions of the data analysis network element shown in FIG. 12 or FIG. 15 or FIG. 17.

On the other hand, a computer program product including instructions is provided. The computer program product includes instructions. When the instructions are executed, the functions performed by the session management network element as shown in FIG. 12 are realized.

On the other hand, a computer program product including instructions is provided. The computer program product includes instructions. When the instructions are executed, the functions performed by the network management network element in FIG. 15 are realized.

On the other hand, a computer program product including instructions is provided. The computer program product includes instructions. When the instructions are executed, the functions performed by the AF network element as shown in FIG. 17 are realized.

On the one hand, a chip is provided. The chip is applied to a data analysis network element. The chip includes at least one processor and a communication interface. The communication interface is coupled with the at least one processor. 10 data analysis network element functions.

In yet another aspect, a chip is provided. The chip is applied to a first network element. The chip includes at least one processor and a communication interface. The communication interface is coupled to the at least one processor. The function of the first network element in Figure 8.

On the one hand, an embodiment of the present application provides a chip that is applied to a data analysis network element. The chip includes at least one processor and a communication interface, the communication interface is coupled to at least one processor, and the processor is used to run instructions to implement such as The function of the data analysis network element in Figure 12, Figure 15 or Figure 17.

On the one hand, an embodiment of the present application provides a chip that is applied to a session management network element. The chip includes at least one processor and a communication interface, the communication interface is coupled with at least one processor, and the processor is used to run instructions to implement such as The function of the session management network element in Figure 12.

On the one hand, an embodiment of the present application provides a chip that is used in a network management network element. The chip includes at least one processor and a communication interface, the communication interface is coupled with at least one processor, and the processor is used to run instructions to implement 15 functions of network management network elements.

On the one hand, an embodiment of the present application provides a chip that is applied to an AF network element. The chip includes at least one processor and a communication interface, the communication interface is coupled with at least one processor, and the processor is used to run instructions to implement The function of the AF network element in 17.

An embodiment of the present application provides a communication system, which includes: a data analysis network element and a first network element. Among them, the data analysis network element is used to perform any function performed by the data analysis network element in FIG. 6 to FIG. 10, and the first network element is used to perform the function performed by the first network element in FIG. 6 or FIG. 8.

In a possible embodiment, the communication system may further include a session management network element and a user plane network element. Among them, the session management network element is used to perform the functions performed by the session management network element in FIG. 9, and the user plane network element is used to perform the functions performed by the user plane network element in FIG. 10.

An embodiment of the present application provides a communication system, which includes: a data analysis network element and a session management network element. The data analysis network element is used to perform any function performed by the data analysis network element in FIG. 12, and the session management network element is used to perform the function performed by the session management network element in FIG. 12.

An embodiment of the present application provides a communication system, which includes: a data analysis network element and a network management network element. Among them, the data analysis network element is used to perform any function performed by the data analysis network element in FIG. 15, and the session management network element is used to perform the function performed by the network management network element in FIG. 15.

An embodiment of the present application provides a communication system, which includes: a data analysis network element and an AF network element. Among them, the data analysis network element is used to perform any function performed by the data analysis network element in FIG. 17, and the session management network element is used to perform the function performed by the AF network element in FIG. 17.

In the above embodiments, it may be implemented in whole or in part by software, hardware, firmware, or any combination thereof. When implemented by software, it can be implemented in the form of a computer program product in whole or in part. The computer program product includes one or more computer programs or instructions. When the computer program or instruction is loaded and executed on the computer, the process or function described in the embodiment of the present application is executed in whole or in part. The computer may be a general-purpose computer, a special-purpose computer, a computer network, network equipment, user equipment, or other programmable devices. The computer program or instruction may be stored in a computer-readable storage medium, or transmitted from one computer-readable storage medium to another computer-readable storage medium. For example, the computer program or instruction may be downloaded from a website, computer, The server or data center transmits to another website site, computer, server or data center through wired or wireless means. The computer-readable storage medium may be any available medium that can be accessed by a computer or a data storage device such as a server or a data center that integrates one or more available media. The usable medium may be a magnetic medium, such as a floppy disk, a hard disk, and a magnetic tape; it may also be an optical medium, such as a digital video disc (digital video disc, DVD); and it may also be a semiconductor medium, such as a solid state drive (solid state drive). , SSD).

Although the present application is described in conjunction with various embodiments, in the process of implementing the claimed application, those skilled in the art can understand and realize the disclosure by looking at the drawings, the disclosure, and the appended claims. Other changes to the embodiment. In the claims, the word "comprising" does not exclude other components or steps, and "a" or "one" does not exclude a plurality. A single processor or other unit may implement several functions listed in the claims. Certain measures are described in mutually different dependent claims, but this does not mean that these measures cannot be combined to produce good results.

Although the application has been described in combination with specific features and embodiments, it is obvious that various modifications and combinations can be made without departing from the spirit and scope of the application. Accordingly, the specification and drawings are merely exemplary descriptions of the application as defined by the appended claims, and are deemed to cover any and all modifications, changes, combinations or equivalents within the scope of the application. Obviously, those skilled in the art can make various changes and modifications to the application without departing from the spirit and scope of the application. In this way, if these modifications and variations of this application fall within the scope of the claims of this application and their equivalent technologies, this application is also intended to include these modifications and variations.

Claims

A business processing method, characterized in that it comprises:

The data analysis network element obtains information related to the first terminal's access to the first service on the first data network;

Acquiring, by the data analysis network element, information related to the access of the first terminal to the second service on the second data network;

The data analysis network element determines the first information according to the related information of the first service and the related information of the second service, and the first information is used to recommend to the first network element to be in the first data network Deploying the second service;

The data analysis network element sends the first information to the first network element.
The method according to claim 1, wherein the data analysis network element determines the first information according to the related information of the first service and the related information of the second service, comprising:

The data analysis network element determines the association information between the first service and the second service according to the related information of the first service and the related information of the second service;

The data analysis network element determines the first information according to the associated information.
The method according to claim 2, wherein the associated information comprises:

The first terminal accesses one or more of the following parameters corresponding to the second service in the process of accessing the first service: frequency, probability, service experience or priority; or,

The first terminal accesses one or more of the following parameters corresponding to the first service in the process of accessing the second service: frequency, probability, service experience, or priority.
The method according to claim 3, wherein the association information is used to describe that the parameters corresponding to the access to the second service in the process of the first terminal accessing the first service satisfy the first condition; or, The associated information is used to describe that the parameters for accessing the first service in the process of the first terminal accessing the second service satisfy the first condition;

The first condition includes one or more of the following: the number of times is higher than or equal to the preset threshold of times, or the probability is greater than or equal to the preset probability, or the service experience is higher than or equal to the preset service experience, or the priority is high At or equal to the preset priority.
The method according to any one of claims 1 to 4, wherein the first information includes one or more of the following information:

The first identifier of the first data network and the information of the second service.
The method according to claim 5, wherein the information of the second service includes one or more of the following information:

The identification information of the second service, the number of visits of the second service, the identification of the second slice corresponding to the second service, the second area information corresponding to the second service, and the access of the first terminal The second time information when the second service is used, the second priority when the first terminal accesses the second service, the second service experience when the first terminal accesses the second service, and the The second traffic information of the second service.
The method according to any one of claims 1 to 6, wherein the data analysis network element determines the first information according to the related information of the first service and the related information of the second service, comprising:

In the case that the second service is not deployed on the first data network, the data analysis network element determines the first information according to the related information of the first service and the related information of the second service.
The method according to any one of claims 1-7, wherein the method further comprises:

The data analysis network element receives a first request message from the first network element, the first request message is used to request the first information, and the first request message includes an indication of the type of the first information It is the first indication information of the recommended type.
The method according to any one of claims 1-7, wherein the method further comprises:

The data analysis network element also sends to the first network element second indication information used to indicate that the first information is a recommendation type.
The method according to any one of claims 1-9, wherein the data analysis network element acquiring related information of the first service when the first terminal accesses the first data network comprises:

Acquiring, by the data analysis network element, an association identifier corresponding to one or more terminals of the first data network service from the session management network element, and the one or more terminals include the first terminal;

Acquiring, by the data analysis network element, the association identifier corresponding to one or more services on the first data network from a user plane network element, where the one or more services include the first service;

The data analysis network element obtains related information of the first service when the first terminal accesses the first data network according to the association identifier.
The method according to any one of claims 1 to 10, wherein the first network element is an application function network element or a network management network element.
The method according to any one of claims 1 to 11, wherein the first service is a service deployed on a local service server, and the second service is a service deployed on a remote service server.
A business processing method, characterized in that it comprises:

The first network element receives first information from a data analysis network element, where the first information is used to recommend to the first network element to deploy a second service on a first data network, and the first data network is deployed with a second service. A business;

In the case of determining to deploy the second service on the first data network, the first network element sends the first identifier of the first data network and the identifier of the second service to the policy control network element information.
The method according to claim 13, wherein the first information includes one or more of the following corresponding information:

The first identifier of the first data network and the information of the second service.
The method according to claim 14, wherein the information of the second service includes one or more of the following information:

The identification information of the second service, the number of visits corresponding to the second service, the identification of the second slice corresponding to the second service, the second area information corresponding to the second service, and the first terminal accesses the The second time information for the second service, the second priority when the first terminal accesses the second service, the second service experience when the first terminal accesses the second service, and the first terminal 2. The second traffic information of the service.
The method according to claim 15, wherein the first network element determines that the second service satisfies one or more of the following conditions, and the first network element is determined to be on the first data network Deploy the second service;

The conditions include: the second priority corresponding to the second service is higher than or equal to the preset priority, and/or the second visit volume corresponding to the second service is higher than or equal to the preset visit volume, and /Or, the second service experience corresponding to the second service is higher than or equal to the preset service experience.
The method according to any one of claims 13 to 16, wherein the method further comprises:

The first network element sends a first request message to the data analysis network element, the first request message is used to request the first information, and the first request message includes indicating that the type of the first information is The first indication information of the recommended type.
The method according to any one of claims 13-17, wherein the method further comprises:

The first network element receives second indication information used to indicate that the first information is a recommendation type from the data analysis network element.
A communication device, characterized in that it comprises:

The communication module is used to obtain the related information of the first terminal accessing the first service on the first data network, and is used to obtain the related information of the first terminal accessing the second service on the second data network;

The processing module is configured to determine first information according to the related information of the first service and the related information of the second service, and the first information is used to recommend to the first network element to be on the first data network Deploy the second service;

The communication module is further configured to send the first information to the first network element.
The apparatus according to claim 19, wherein the processing module is configured to determine the first service and the second service according to the related information of the first service and the related information of the second service. Association information between services, and used to determine the first information according to the association information.
The device according to claim 20, wherein the associated information comprises:

The first terminal accesses one or more of the following parameters corresponding to the second service in the process of accessing the first service: frequency, probability, service experience or priority; or,

The first terminal accesses one or more of the following parameters corresponding to the first service in the process of accessing the second service: frequency, probability, service experience, or priority.
The apparatus according to claim 21, wherein the association information is used to describe that the parameters corresponding to the access to the second service in the process of the first terminal accessing the first service satisfy the first condition; or, The associated information is used to describe that the parameters for accessing the first service in the process of the first terminal accessing the second service satisfy the first condition;

The first condition includes one or more of the following: the number of times is higher than or equal to the preset threshold of times, or the probability is greater than or equal to the preset probability, or the service experience is higher than or equal to the preset service experience, or the priority is high At or equal to the preset priority.
The device according to any one of claims 19-22, wherein, in the case that the second service is not deployed on the first data network, the processing module is configured to perform according to the first service The related information of and the related information of the second service determine the first information.
The device according to any one of claims 19 to 23, wherein the communication module is further configured to receive a first request message from the first network element, and the first request message is used to request Regarding the first information, the first request message includes first indication information indicating that the type of the first information is a recommendation type.
The apparatus according to any one of claims 19-23, wherein the communication module is further configured to send second indication information for indicating that the first information is a recommended type to the first network element .
The apparatus according to any one of claims 19 to 25, wherein the communication module is configured to obtain the associated identification corresponding to one or more terminals of the first data network service from a session management network element, The one or more terminals include the first terminal; and are used to obtain the association identifier corresponding to one or more services on the first data network from a user plane network element, and the one or more The business includes the first business;

The processing module is configured to obtain related information of the first service when the first terminal accesses the first data network according to the association identifier.
The device according to any one of claims 19 to 26, wherein the first network element is an application function network element or a network management network element.
The device according to any one of claims 19-27, wherein the first service is a service deployed on a local service server, and the second service is a service deployed on a remote service server.
A communication device, characterized in that it comprises:

The communication module is configured to receive first information from a data analysis network element, where the first information is used to recommend to the device to deploy a second service on a first data network, and the first data network is deployed with the first service ；

A processing module, configured to determine to deploy the second service on the first data network;

The communication module is further configured to send the first identification of the first data network and identification information of the second service to the policy control network element.
The device according to claim 29, wherein the processing module is further configured to determine that the second service satisfies one or more of the following conditions, and the processing module determines to be on the first data network Deploy the second service;

The conditions include: the second priority corresponding to the second service is higher than or equal to the preset priority, and/or the second visit volume corresponding to the second service is higher than or equal to the preset visit volume, and /Or, the second service experience corresponding to the second service is higher than or equal to the preset service experience.
The device according to claim 29 or 30, wherein the communication module is further configured to send a first request message to the data analysis network element, and the first request message is used to request the first information , The first request message includes first indication information indicating that the type of the first information is a recommendation type.
The device according to any one of claims 29 to 31, wherein the communication module is further configured to receive a first information from the data analysis network element that indicates that the type of the first information is a recommended type. 2. Instruction information.
A communication system, characterized in that the system comprises: a data analysis network element and a first network element, the data analysis network element is configured to execute the method according to any one of claims 1-12;

The first network element is used to execute the method according to any one of claims 13-18.