WO2020224463A1

WO2020224463A1 - Data analysis method and apparatus

Info

Publication number: WO2020224463A1
Application number: PCT/CN2020/087060
Authority: WO
Inventors: 崇卫微; 辛阳; 吴晓波
Original assignee: 华为技术有限公司
Priority date: 2019-05-05
Filing date: 2020-04-26
Publication date: 2020-11-12
Also published as: CN111901135B; CN111901135A

Abstract

Embodiments of the present application provide a data analysis method and apparatus. The method comprises: a data analysis network element can obtain one or more network element types corresponding to a specific data analysis type on the basis of a stored correspondence between data analysis types and network element types, and obtains, from network element instances corresponding to these network element types, data for training so as to obtain a data analysis result, so that determining the network element instances for providing a source of data to be analyzed is achieved, thereby facilitating improving the efficiency and accuracy of data analysis.

Description

Data analysis method and device

Cross references to related applications

This application claims the priority of a Chinese patent application filed with the Chinese Patent Office, the application number is 201910368610.X, and the application name is "a data analysis method and device" on May 5, 2019. The entire content is incorporated herein by reference. Applying.

Technical field

This application relates to the field of mobile communication technology, and in particular to a data analysis method and device.

Background technique

In order to cope with the challenges of wireless broadband technology and maintain the leading edge of the 3rd Generation Partnership Project (3GPP) network, the 3GPP standard group has formulated the Next Generation System (Next Generation System), which can also be called the third generation partnership project. Five generation (5-Generation, 5G) network architecture. In the 5G architecture, the network data analysis function (NetWork Data Analysis Function, NWDAF) network element is introduced. NWDAF network elements provide analysis functions of network data. NWDAF network elements can provide different types of data analysis results and are identified by data analysis types (such as analytics ID). However, the prior art does not provide a solution for NWDAF network elements to obtain different types of data analysis results.

Summary of the invention

The present application provides a data analysis method and device to provide a solution for obtaining different types of data analysis results by a data analysis network element.

In a first aspect, the present application provides a data analysis method, the method includes: a data analysis network element determines a first set of network element types corresponding to a data analysis type to be analyzed, the first set including one or more network element types; The data analysis network element obtains the first network element information corresponding to the first set from the network warehouse function network element; the data analysis network element obtains the first data from the network element corresponding to the first network element information; the data analysis network element obtains the first data according to the first data, Get the first data analysis result. Based on this solution, the data analysis network element can obtain one or more network element types corresponding to a specific data analysis type based on the correspondence between the data analysis type and the network element type, and obtain the network element instances corresponding to these network element types Obtain data for training, thereby obtaining data analysis results, realizing the determination of the network element instance used to provide the data source to be analyzed, which helps to improve the efficiency and accuracy of data analysis.

In a possible implementation method, the data analysis network element determines the first set of network element types corresponding to the data analysis type to be analyzed, including: the data analysis network element determines the data according to the correspondence between the data analysis type and the first set The first set corresponding to the analysis type. Based on this solution, the correspondence between the data analysis type and the first set is stored in advance, so that the first set corresponding to the data analysis type can be determined.

In a possible implementation method, the data analysis network element determines a second set of network element types corresponding to the data analysis type according to the first data analysis result. The second set includes one or more network element types. The first set is different; the data analysis network element updates the network element type corresponding to the data analysis type from the first set to the second set. Based on this solution, the correspondence between the data analysis type and the network element type can be dynamically updated, so that the network element type corresponding to the data analysis type can be determined more accurately.

In a possible implementation method, the data analysis network element determines the second set of network element types corresponding to the data analysis type according to the first data analysis result, which specifically includes: the data analysis network element determines and The second set corresponding to the data analysis type and the screening information; the data analysis network element updates the network element type corresponding to the data analysis type from the first set to the second set, which specifically includes: the data analysis network element will match the data analysis type and The network element type corresponding to the screening information is updated from the first set to the second set.

In a possible implementation method, the data analysis network element determines a third set of data types corresponding to the data analysis type. The third set includes one or more data types; the data analysis network element obtains information from the network corresponding to the first network element. The element acquiring the first data includes: the data analysis network element acquires the first data corresponding to the third set from the network element corresponding to the first network element information. Based on this solution, the data analysis network element can obtain one or more data types corresponding to a specific data analysis type based on the corresponding relationship between the data analysis type and the data type, and obtain the data corresponding to these data types from the network element instance. For training, the data analysis result is obtained, and the data to be analyzed is determined, which helps to improve the efficiency and accuracy of data analysis.

In a possible implementation method, the data analysis network element determines the first set of network element types corresponding to the data analysis type to be analyzed, which specifically includes: the data analysis network element determines the first set according to the third set. That is, the data analysis network element first determines the third set corresponding to the data analysis type, and then determines the above-mentioned first set according to the third set. That is, the data analysis network element can store the correspondence between the data type and the network element type, so that it can be based on the third set. The data type in the collection determines the first collection described above.

In a possible implementation method, the data analysis network element determines the fourth set of data types corresponding to the data analysis type according to the first data analysis result, the fourth set includes one or more data types, and the fourth set and the third set The sets are not the same; the data analysis network element updates the data type corresponding to the data analysis type from the third set to the fourth set. Based on this solution, the correspondence between the data analysis type and the data type can be dynamically updated, so that the data type corresponding to the data analysis type can be determined more accurately.

In a possible implementation method, the data analysis network element determines the first network element type, the first network element type is included in the first set but not included in the second set; the data analysis network element corresponds to the first network element type The network element sends an unsubscribe request message, and the unsubscribe request message is used to request cancellation of the data subscription to the network element corresponding to the first network element type. Based on this solution, for network element types that are not related to the data analysis type, the subscription can be cancelled, thereby saving resources.

In a possible implementation method, the data analysis network element determines the second network element type, and the second network element type is included in the second set but not included in the first set; the data analysis network element obtains the second network element from the network warehouse functional network element The second network element information corresponding to the two network element types.

In a possible implementation method, the data analysis network element obtains the second data from the network element corresponding to the second network element information; the data analysis network element analyzes the first data and the second data to obtain the second data analysis result. Based on this solution, new data can be added for data analysis, which can improve the accuracy of data analysis results.

In a possible implementation method, the data analysis network element receives a request message from the first network element, and the request message includes the data analysis type and screening information; the data analysis network element determines the network element type corresponding to the data analysis type to be analyzed The first set includes: the data analysis network element determines the first set corresponding to the data analysis type and the screening information. Based on this solution, the data used for data analysis can be determined based on the screening information, so that the required data analysis result can be easily obtained.

In a possible implementation method, the data analysis network element receives a request message from the first network element, the request message includes data analysis type and screening information, and the request message is used to request to obtain data analysis corresponding to the data analysis type and screening information Result; the data analysis network element obtains the first network element information corresponding to the first set from the network warehouse function network element, including: the data analysis network element sends a network element discovery request message to the network warehouse function network element, and the network element discovery request message includes the first network element A collection and screening information; the data analysis network element receives a network element discovery response message from a network warehouse functional network element, and the network element discovery response message includes first network element information corresponding to the first collection and screening information.

In a possible implementation method, the data analysis network element sends the first data analysis result to the first network element.

In a possible implementation method, the data analysis network element determines the second data type, the second data type is included in the fourth set but not included in the third set; the data analysis network element sends the data to the network corresponding to the second data type. The meta sends a subscription request message, which is used to request a data subscription corresponding to the second data type.

In a possible implementation method, the data analysis network element determines the second set of network element types corresponding to the data analysis type according to the first data analysis result, which specifically includes: the data analysis network element determines the first set according to the fourth set. Two sets.

In a possible implementation method, the data analysis network element obtains the third network element information corresponding to the second set from the network warehouse functional network element; the data analysis network element obtains the third data from the network element corresponding to the third network element information; The data analysis network element analyzes the third data to obtain the third data analysis result.

In a possible implementation method, the data analysis network element determines a fifth set of network element types corresponding to the data analysis type according to the third data analysis result. The fifth set includes one or more network element types, and the fifth set is The second set is different; the data analysis network element updates the network element type corresponding to the data analysis type from the second set to the fifth set.

In a possible implementation method, the data analysis network element obtains the first network element information corresponding to the first set from the network warehouse function network element, including: the data analysis network element sends a network element discovery request message to the network warehouse function network element, The network element discovery request message includes the first set; the data analysis network element receives the network element discovery response message from the network warehouse function network element, and the network element discovery response message includes the first network element information corresponding to the first set.

In a possible implementation method, the data analysis network element determines the first data type, and the first data type is included in the third set but not included in the fourth set; the data analysis network element sends to the network element corresponding to the first data type The unsubscribe request message is used to request cancellation of the data subscription corresponding to the first data type.

In a second aspect, the present application provides a data analysis device, which may be a data analysis network element, or a chip used for a data analysis network element. The device has the function of realizing each embodiment of the first aspect described above. This function can be realized by hardware, or by hardware executing corresponding software. The hardware or software includes one or more modules corresponding to the above-mentioned functions.

In a third aspect, the present application provides a data analysis device, including: a processor and a memory; the memory is used to store computer execution instructions, and when the device is running, the processor executes the computer execution instructions stored in the memory to enable The device executes the method described in any of the above-mentioned first aspects.

In a fourth aspect, the present application provides a data analysis device, including: including units or means for executing each step of the first aspect.

In a fifth aspect, the present application provides a data analysis device, including a processor and an interface circuit, the processor is configured to communicate with other devices through the interface circuit and execute any of the methods described in the first aspect. The processor includes one or more.

In a sixth aspect, the present application provides a data analysis device, including a processor, configured to be connected to a memory, and configured to call a program stored in the memory to execute any of the methods described in the first aspect. The memory can be located inside the device or outside the device. And the processor includes one or more.

In a seventh aspect, the present application also provides a computer-readable storage medium having instructions stored in the computer-readable storage medium, which when run on a computer, cause a processor to execute the above-mentioned first aspect and any of the embodiments thereof The method described.

In an eighth aspect, the present application also provides a computer program product including instructions, which when run on a computer, cause the computer to execute any of the methods described in the first aspect.

In a ninth aspect, this application also provides a chip system, including a processor, configured to execute any of the methods described in the first aspect.

In a tenth aspect, this application also provides a data analysis system, including a network warehouse function network element and a data analysis device for executing any embodiment of the first aspect.

Description of the drawings

Figure 1A is a schematic diagram of a 5G network architecture based on a service-oriented architecture;

Figure 1B is a schematic diagram of a 5G network architecture based on a point-to-point interface;

Figure 1C is a schematic diagram of a network architecture applicable to this application;

Figure 2 is a schematic diagram of a data analysis method provided by this application;

Figure 3 is a schematic diagram of another data analysis method provided by this application;

Figure 4 is a schematic diagram of another data analysis method provided by this application;

Figure 5 is a schematic diagram of another data analysis method provided by this application;

Fig. 6 is a schematic diagram of a data analysis device provided by this application;

FIG. 7 is a schematic diagram of another data analysis device provided by this application;

Fig. 8 is a schematic diagram of a data analysis system provided by this application.

Detailed ways

In order to make the objectives, technical solutions, and advantages of the present application clearer, the present application will be further described in detail below with reference to the accompanying drawings. The specific operation method in the method embodiment can also be applied to the device embodiment or the system embodiment. Wherein, in the description of the present application, unless otherwise specified, "multiple" means two or more.

As shown in Figure 1A, it is a schematic diagram of a 5G network architecture based on a service-oriented architecture. The 5G network architecture shown in FIG. 1A may include three parts, namely a terminal equipment part, a data network (DN), and an operator network part. The functions of some of the network elements are briefly introduced below.

Among them, the operator's network may include network exposure function (NEF) network elements, policy control function (PCF) network elements, unified data management (UDM) network elements, and network warehouse functions ( network function repository function (NRF) network element, application function (AF) network element, NWDAF network element, authentication server function (authentication server function, AUSF) network element, access and mobility management function (access and mobility management) function, AMF) network element, session management function (SMF) network element, (radio) access network ((radio) access network, (R) AN), and user plane function (user plane function, UPF) network Yuan etc. In the above-mentioned operator network, parts other than the (wireless) access network part may be referred to as the core network part. For the convenience of description, the following takes (R)AN as RAN as an example for description.

Terminal equipment, also known as user equipment (UE), is a device with wireless transceiver function. It can be deployed on land, including indoor or outdoor, handheld or vehicle-mounted; it can also be deployed on water (such as ships). Etc.); it can also be deployed in the air (for example, airplanes, balloons, satellites, etc.). The terminal device may be a mobile phone (mobile phone), a tablet computer (pad), a computer with wireless transceiver function, a virtual reality (VR) terminal, an augmented reality (AR) terminal, an industrial control (industrial control) Wireless terminals in ), wireless terminals in self-driving (self-driving), wireless terminals in remote medical, wireless terminals in smart grid, wireless terminals in transportation safety (transportation safety) , Wireless terminals in smart cities, wireless terminals in smart homes, etc.

The above-mentioned terminal equipment can establish a connection with the operator's network through an interface (such as N1, etc.) provided by the operator's network, and use the data and/or voice services provided by the operator's network. The terminal device can also access the DN through the operator's network, and use the operator's service deployed on the DN and/or the service provided by a third party. Among them, the aforementioned third party may be a service party other than the operator's network and terminal equipment, and may provide other services such as data and/or voice for the terminal equipment. Among them, the specific form of expression of the above-mentioned third party can be determined according to actual application scenarios and is not limited here.

RAN is a sub-network of an operator's network, and an implementation system between service nodes and terminal equipment in the operator's network. To access the operator's network, the terminal device first passes through the RAN, and then can be connected to the service node of the operator's network through the RAN. The RAN equipment in this application is a type of equipment that provides wireless communication functions for terminal equipment. The access network equipment includes but is not limited to: next-generation base stations (gnodeB, gNB) in 5G, evolved node B (evolved node B) , ENB), radio network controller (RNC), node B (node B, NB), base station controller (BSC), base transceiver station (base transceiver station, BTS), home base station ( For example, home evolved nodeB, or home node B, HNB, baseband unit (BBU), transmission point (transmitting and receiving point, TRP), transmission point (TP), mobile switching center, etc.

AMF network element is a control plane network element provided by the operator's network. It is responsible for the access control and mobility management of terminal equipment accessing the operator's network, such as mobile status management, allocation of temporary user identities, authentication and authorization of users, etc. Features.

The SMF network element is a control plane network element provided by the operator network, and is responsible for managing the protocol data unit (PDU) session of the terminal device. The PDU session is a channel used to transmit PDUs, and terminal devices need to transmit PDUs to each other through the PDU session and the DN. The PDU session is established, maintained, and deleted by the SMF network element. SMF network elements include session management (such as session establishment, modification and release, including tunnel maintenance between UPF and AN), UPF network element selection and control, service and session continuity (Service and Session Continuity, SSC) mode selection, Session-related functions such as roaming.

The UPF network element is a gateway provided by an operator and a gateway for communication between the operator's network and the DN. UPF network elements include user plane-related functions such as data packet routing and transmission, packet inspection, service usage reporting, quality of service (QoS) processing, lawful monitoring, upstream packet inspection, and downstream packet storage.

DN, also called packet data network (PDN), is a network located outside the operator’s network. The operator’s network can be connected to multiple DNs, and multiple services can be deployed on the DN to provide terminal equipment. Services such as data and/or voice. For example, DN is the private network of a smart factory. The sensors installed in the workshop of the smart factory can be terminal devices. The control server of the sensor is deployed in the DN, and the control server can provide services for the sensors. The sensor can communicate with the control server, obtain instructions from the control server, and transmit the collected sensor data to the control server according to the instructions. For another example, a DN is an internal office network of a company. The mobile phones or computers of employees of the company can be terminal devices, and the mobile phones or computers of employees can access information and data resources on the company's internal office network.

UDM network element is a control plane network element provided by the operator. It is responsible for storing the subscriber permanent identifier (SUPI), credential, security context, and subscription of subscribers in the operator’s network. Data and other information. The information stored in UDM network elements can be used for authentication and authorization of terminal equipment accessing the operator's network. Among them, the contracted users of the above-mentioned operator's network may specifically be users who use the services provided by the operator's network, such as users who use China Telecom's mobile phone core card, or users who use China Mobile's mobile phone core card. The permanent subscription identifier (Subscription Permanent Identifier, SUPI) of the aforementioned subscriber may be the number of the mobile phone core card, etc. The credential and security context of the aforementioned subscriber may be a small file stored such as the encryption key of the mobile phone core card or information related to the encryption of the mobile phone core card for authentication and/or authorization. The aforementioned security context may be data (cookie) or token (token) stored on the user's local terminal (for example, mobile phone). The contract data of the aforementioned subscriber may be the supporting service of the mobile phone core card, such as the data package of the mobile phone core card or the use of the network. It should be noted that permanent identifiers, credentials, security contexts, authentication data (cookies), and tokens are equivalent to information related to authentication and authorization. In this application file of the present invention, no distinction or restriction is made for the convenience of description. If no special instructions are given, the embodiments of the present application will be described using a security context as an example, but the embodiments of the present application are also applicable to authentication and/or authorization information in other expression modes.

The AUSF network element is a control plane network element provided by the operator, and can usually be used for first-level authentication, that is, the authentication between the terminal device (subscribed user) and the operator's network. After the AUSF network element receives the authentication request initiated by the subscriber, it can authenticate and/or authorize the subscriber through the authentication information and/or authorization information stored in the UDM network element, or generate the authentication and/or authorization of the subscriber through the UDM network element. Or authorization information. The AUSF network element can feed back authentication information and/or authorization information to the subscriber.

NEF network elements are control plane network elements provided by operators. NEF network elements open the external interface of the operator's network to third parties in a safe manner. When the SMF network element needs to communicate with a third-party network element, the NEF network element can serve as a relay for the communication between the SMF network element and the third-party network element. When the NEF network element is used as a relay, it can be used as the translation of the identification information of the subscriber and the translation of the identification information of the third-party network element. For example, when NEF sends the SUPI of the subscriber from the operator network to the third party, it can translate the SUPI into its corresponding external identity (identity, ID). Conversely, when the NEF network element sends the external ID (third-party network element ID) to the operator's network, it can be translated into SUPI.

Application Function (AF) network elements mainly provide application layer services, and also support interaction with the 5G core network to provide services, such as influencing data routing decisions, policy control functions, or providing third-party services to the network side.

The PCF network element is a control plane function provided by the operator to provide a strategy to the network element. As an implementation manner, the policies may include access control policies, mobility management policies, charging-related policies, QoS-related policies, and authorization-related policies.

NRF network element can be used to provide network element discovery function, based on the request of other network elements, provide network element information corresponding to the network element type, such as address information and/or identification information. NRF also provides network element management services, such as network element registration, update, de-registration, and network element status subscription and push.

In Figure 1A, Nnef, Nausf, Npcf, Nudm, Naf, Namf, Nsmf, N1, N2, N3, N4, and N6 are interface serial numbers. The meaning of these interface serial numbers can refer to the meaning defined in the 3GPP standard protocol, which is not limited here.

As shown in FIG. 1B, it is a schematic diagram of a 5G network architecture based on a point-to-point interface. For the introduction of the functions of the network elements therein, reference may be made to the introduction of the functions of the corresponding network elements in FIG. 1A, which will not be repeated. The main difference between Fig. 1B and Fig. 1A is that the interfaces between the various network elements in Fig. 1B are point-to-point interfaces rather than service-oriented interfaces.

In the architecture shown in Figure 1B, the interface between the UE and the AMF network element is called the N1 interface, the interface between the AMF network element and the RAN device is called the N2 interface, and the interface between the RAN device and the UPF network element It can be called N3 interface, the interface between SMF network element and UPF network element is called N4 interface, the interface between PCF network element and AF network element is called N5 interface, and the interface between UPF network element and DN is called N6 Interface, the interface between SMF network element and PCF network element is called N7 interface, the interface between AMF network element and UDM network element is called N8 interface, the interface between different UPF network elements is called N9 interface, UDM network element The interface with SMF network element is called N10 interface, the interface between AMF network element and SMF network element is called N11 interface, the interface between AUSF network element and AMF network element is called N12 interface, AUSF network element and UDM The interface between network elements is called N13 interface, the interface between different AMF network elements is called N14 interface, the interface between AMF network element and PCF network element is called N15 interface, and the interface between NWDAF network element and PCF network element is called N15 interface. The interface is called the N23 interface.

As shown in Figure 1C, a possible network architecture applicable to this application. The network architecture includes data analysis network elements and network function (Network Function, NF) network elements. In a possible implementation, the network architecture may also include a database.

The data analysis network element may be, for example, a NWDAF network element, and the data analysis network element may be from other network elements (such as one of the SMF network element, PCF network element, RAN, UPF network element, SMF network element shown in Figure 1A or Figure 1B) Or more) to obtain the data to be analyzed, and then establish a data analysis model to obtain the data analysis result. Among them, the data analysis of the data analysis network element can be based on a certain consumer network element (for example, the consumer network element can be a network function network element (NF), network management network element, application server, terminal, etc.). Triggered by the data analysis request or subscription message, or triggered by the data analysis network element based on other conditions, such as periodic triggering, initial event triggering, etc. After the data analysis network element obtains the data analysis result, it can send the data analysis result to the consumer network element that requests the data analysis result, or store the data analysis result in a database or in the data analysis network element.

In this application, a data analysis network element refers to a network element that has the functions of data collection and analysis and data analysis results. It can be a NWDAF network element, a management data analysis service (Management data analysis service, MDAS) network element or other similar Functional network element. For the convenience of description, the following description of this application takes the data analysis network element as an NWDAF network element as an example, and the NWDAF network element is referred to as NWDAF for short.

In addition, the network element with the network warehouse function in this application refers to a network element with a network element discovery function, which may be an NRF network element or other network elements with similar functions. For the convenience of description, this application will be described by taking the network warehouse function network element as an NRF network element as an example, and the NRF network element is referred to as NRF for short.

It should be noted that this application is not limited to being applied to the 5G system shown in FIG. 1A or FIG. 1B, and can also be applied to future communication systems, such as the 6th generation (6G) system.

In view of the problems in the background art, the solution provided in this application is: NWDAF determines the network element type according to the data analysis type, then determines the network element information corresponding to the network element type, and obtains it from the network element corresponding to the network element information The data is analyzed to obtain the analysis result. Or, NWDAF determines the data type according to the data analysis type, and determines the network element type according to the data type, and then determines the network element information corresponding to the network element type, and obtains the data from the network element corresponding to the network element information for analysis, thereby obtaining Analyze the results. Or, NWDAF determines the data type according to the data analysis type, then determines the network element information corresponding to the network element type, and obtains the data corresponding to the data type from the network element corresponding to the network element information for analysis, thereby obtaining the analysis result. It should be noted that the type of data analysis in this application can be specifically identified by analytics ID.

A specific description will be given below.

As shown in Figure 2, a data analysis method provided for this application includes the following steps:

Step 201: NWDAF determines a first set of network element types corresponding to the data analysis type to be analyzed, and the first set includes one or more network element types.

In a possible implementation manner, the corresponding relationship between the data analysis type and the network element type is stored in the NWDAF. As a specific implementation method, what is stored in NWDAF is the correspondence between the data analysis type (such as analytics ID) and the network element type (NF type).

Therefore, the specific implementation of this step may be: the data analysis network element determines the first set corresponding to the data analysis type according to the stored correspondence between the data analysis type and the first set.

In a possible implementation manner, in the initial state, the corresponding relationship may be pre-configured, for example, it may be pre-configured to NWDAF through the operation, administration, and maintenance (Operation, Administration, Maintenance, OAM) platform, and the corresponding The relationship can be dynamically updated.

In the embodiments of the present application, the data analysis type refers to the type of data analysis that needs to be performed, such as Observed Service Experience, Network Performance, and User Equipment (UE) mobility ( UE mobility) and so on.

The network element type (network function type, NF type) here can be, for example, SMF type, PCF type, RAN type, UPF type, AF type, UE type, OAM type, etc. One network element type can correspond to one or more network elements. (Also called NF instance). For example, the SMF network element type corresponds to one or more SMFs, and the PCF network element type corresponds to one or more PCFs.

As an example, suppose that the correspondence between the data analysis type currently saved in NWDAF and the network element type is shown in Table 1.

Table 1

This table 1 may be the corresponding relationship of the initial configuration, or the corresponding relationship that has been dynamically updated, which is not limited in this application.

Taking Table 1 as an example, the specific implementation of step 201 is: NWDAF determines the first set of corresponding network element types according to the data analysis type. For example, the data analysis type is observation service experience, and the first set determined is {RAN type, SMF type, AMF type, UPF type, PCF type, AF type}. For another example, if the data analysis type is network performance, the determined first set is {RAN type, AMF type, SMF type, UPF type}.

The method for NWDAF to obtain the data analysis type may be, for example, a data analysis request message or a subscription request message based on the first network element. The data analysis request message or the subscription request message carries the data analysis type, so that the NWDAF determines the data analysis type. For another example, NWDAF may also periodically perform data analysis on the configured data analysis type, so that the data analysis type can be obtained locally. This application does not limit the method of triggering NWDAF for data analysis.

Step 202: NWDAF obtains the first network element information corresponding to the first set from the NRF.

For example, if the first set is {RAN type, AMF type, SMF type, UPF type}, the first network element information obtained by NWDAF from NRF is: RAN information, AMF information, SMF information, and UPF information. The information here may be, for example, one or more of address information, identification information, or fully qualified domain name (FQDN) of the network element.

As an implementation manner, the network element discovery function and service (Nnrf_NFdiscovery_request/response service) provided by the existing NRF can be used, and the NWDAF addresses one or more network elements (or network element instances) corresponding to the network element type to the NRF.

As a specific implementation method, step 202 may specifically include the following steps 202a and 202b:

Step 202a, NWDAF sends a network element discovery request message to NRF. Correspondingly, the NRF can receive the network element discovery request message.

The network element discovery request message includes the first set. Specifically, the network element discovery request message includes all network element types in the first set.

Step 202b, NWDAF receives a network element discovery response message from a network warehouse function network element, where the network element discovery response message includes first network element information corresponding to the first set.

Step 203: NWDAF obtains the first data from the network element corresponding to the first network element information.

The first data here may also be called training data, which is used as input data for data learning and model training.

As an implementation method, the first data acquired by the NWDAF from the network element corresponding to the first network element information may be all data in the network element corresponding to the first network element information corresponding to the first set.

As yet another implementation method, the first data acquired by the NWDAF from the network element corresponding to the first network element information may be specific data in the network element corresponding to the first network element information. For example, when NWDAF obtains data from the network element corresponding to the first network element information, it also provides the data type. Therefore, the first data obtained by the NWDAF from the network element corresponding to the first network element information is data corresponding to the data type. Therefore, based on this implementation, NWDAF determines the first set corresponding to the data analysis type to be analyzed, which specifically includes: NWDAF determines the data type corresponding to the data analysis type to be analyzed, and then NWDAF determines the first set corresponding to the data type.

It should be noted that in some scenarios (for example, when data needs to be obtained from the NF), the data type can be identified by an event ID. In other scenarios (for example, when obtaining data from OAM), the data type can be identified by the data type identification information provided by the OAM.

The following is a description with examples. On the basis of Table 1, taking the data analysis type as Network performance as an example, Table 2 is a specific example of the correspondence between data analysis types, network element types, and data types.

Table 2

Refer to Table 2, in order to analyze the network performance, the data types of the data obtained from the RAN include uplink/downlink air interface delay, air interface packet loss rate, etc., and the corresponding data types of the data obtained from SMF include SMF load, etc., obtained from UPF The data type corresponding to the data includes UPF data throughput rate, bandwidth, etc., and the data type corresponding to the data obtained from AMF includes the number of online users, AMF load, etc.

Of course, when the data analysis type in Table 1 is Observed service experience or UE mobility, the data analysis type, network element type, and data type similar to those shown in Table 2 can also be defined. The corresponding relationship.

As an implementation method, NWDAF can use the event exposure service (Nnf_Eventexposure_subscribe service) provided by each network function (NF) network element type to obtain relevant data (ie, first data) from the network element instance corresponding to the network element type. Specifically, the NWDAF may carry an event ID (event ID) in the specific event subscription request message to indicate the specific data type to be obtained. Before obtaining training data from the network element instance, NWDAF also needs to determine the data type corresponding to each network element type according to the specific analytics ID.

For example, taking Table 2 as an example, in order to obtain the data analysis results of network performance, the data types that NWDAF needs to obtain from AMF network elements include the number of online users, AMF load, etc., then NWDAF can call the Namf_eventexposure_subscribe service, where event ID1 = UE number, event ID 2=AMF load. Similar processing is also done for other data types, so I won't repeat them.

As yet another implementation method, the method for NWDAF to determine the first set may also be: NWDAF determines the third set of data types corresponding to the data analysis type, and the third set includes one or more data types; NWDAF determines according to the third set The first set above. That is, NWDAF first determines the data type, and then determines the network element type. Taking Table 2 as an example, NWDAF first determines that the third set of data types corresponding to network performance includes at least uplink/downlink air interface delay, air interface packet loss rate, SMF load, UPF data throughput rate, bandwidth, number of online users, AMF load , And then determine the first set to be {RAN type, SMF type, AMF type, UPF type} according to the third set.

Similarly, NWDAF can also use specific services provided by network management network elements, application servers, and terminals to obtain required data types.

Step 204: NWDAF analyzes the first data and determines the first data analysis result.

After NWDAF obtains the first data corresponding to the data analysis type from the network element corresponding to the first network element information, it does big data analysis or machine learning based on the obtained first data to obtain the analysis model corresponding to the data analysis type. Furthermore, the data analysis result is obtained according to the analysis model. Here, the result obtained from the first data analysis becomes the first data analysis result. This process belongs to the prior art and will not be described in detail.

Based on the above steps 201 to 204, NWDAF can obtain one or more network element types (ie, the first set) corresponding to a specific data analysis type based on the corresponding relationship between the stored data analysis type and the network element type, and from these The data obtained from the network element corresponding to the network element type is used for training, thereby obtaining data analysis results, realizing the determination of the network element instance used to provide the data source to be analyzed, and helping to improve the efficiency and accuracy of data analysis.

As an implementation method, after obtaining the first data analysis result, the NWDAF can also update the saved correspondence between the data analysis type and the network element type according to the first data analysis result. That is, after the above step 204, the following steps 205 to 206 may be included:

Step 205: NWDAF determines a second set of network element types corresponding to the data analysis type according to the first data analysis result.

The second set here includes one or more network element types, and the second set is different from the first set.

Step 206: NWDAF updates the network element type corresponding to the saved data analysis type from the first set to the second set.

Regarding the above steps 205 to 206, in the first case, based on the first data analysis result, NWDAF can determine which data in the first data the data analysis result of the specific data analysis type is related to, and determine whether these data are specifically Which network element type or several types of network elements come from, and then update the network element type corresponding to the saved data analysis type, so that a more accurate correspondence can be dynamically obtained, which is convenient for subsequent acquisition of the data to be analyzed. use.

Specifically, NWDAF determines the first data type corresponding to the data analysis type according to the first data analysis result, and then determines the second set according to the first data type. The network element types in the second set can provide data of the first data type. data. Or, it can be understood that NWDAF determines a fourth set of data types according to the first data analysis result, the fourth set includes one or more data types, and the fourth set is a set including the first data type, or It is said that the fourth set includes data types corresponding to the data analysis type, or the fourth set includes data types related to the first data analysis result. Thus, NWDAF can determine the second set based on the fourth set.

For example, through the analysis model, NWDAF determines that network performance is related to uplink/downlink air interface delay, air interface packet loss rate, UPF data throughput rate, bandwidth, number of online users, AMF load, and has nothing to do with SMF load. Specifically, NWDAF determines network Performance is related to the uplink/downlink air interface delay and air interface packet loss rate, and the network element type corresponding to the uplink/downlink air interface delay and air interface packet loss rate is the RAN type. The network performance is also related to the UPF data throughput rate and bandwidth. In addition, the network element type corresponding to the UPF data throughput and bandwidth is the UPF type. It is determined that the network performance is also related to the number of online users and the AMF load, and the network element type corresponding to the number of online users and the AMF load is the AMF type. Therefore, NWDAF determines that the first set corresponding to network performance is {RAN type, AMF type, UPF type}. That is, the first set corresponding to network performance is {RAN type, AMF type, UPF type, SMF type}, and the second set corresponding to network performance is {RAN type, AMF type, UPF type}. Furthermore, NWDAF can update {RAN type, AMF type, UPF type, SMF type} corresponding to the saved network performance to {RAN type, AMF type, UPF type}. Or it can also be understood that NWDAF determines the fourth set as {uplink/downlink air interface delay, air interface packet loss rate, UPF data throughput rate, bandwidth, number of online users, AMF load} based on the first data analysis result, so that it can be based on The fourth set determines the second set, that is, the second set is {RAN type, AMF type, UPF type}.

It should be noted that in this application, NWDAF may also update the network element type corresponding to the saved data type from the third set to the fourth set.

Here, the network element type included in the first set but not included in the second set can be called the first network element type. Based on this situation, after step 206, the following steps A1-step A2 can be performed :

Step A1, NWDAF determines the first network element type.

Step A2: The NWDAF sends an unsubscribe request message to the network element corresponding to the first network element type, and the unsubscribe request message is used to request cancellation of the data subscription to the network element corresponding to the first network element type.

Based on steps A1 and A2, the first network element type that is not related to the data analysis type (analytics ID) is cancelled, and there is no need to obtain the data corresponding to the data analysis type (analytics ID) from the network element corresponding to the first network element type. , Can save expenses and reduce waste of resources.

Regarding the above steps 205-206, in the second case, based on the first data analysis result, NWDAF finds that the first data analysis result does not meet the expected result, such as the model is not stable, the first data analysis result does not converge, or The first data analysis result does not match the actual result, etc., the NWDAF can re-update the network element type corresponding to the data type to the default or pre-configured network element type. For example, through an analysis model, NWDAF determines that the first data analysis result corresponding to network performance does not meet the expected result, and then updates the first set corresponding to network performance to the second set (that is, the default or pre-configured network element type).

Based on the second situation, there is at least one network element type in the second set that is not included in the first set. For example, if the first set corresponding to network performance is {RAN type, AMF type, UPF type, SMF type}, the second set corresponding to network performance can be {RAN type, AMF type, UPF type, SMF type, AF type} , Or {RAN type, AMF type, UPF type, SMF type, PCF type}, or {RAN type, AMF type, UPF type, SMF type, AF type, PCF type}, etc., which form depends on the specific To achieve, this application is not limited.

Here, the network element type included in the second set but not included in the first set is referred to as the second network element type. Based on the second situation, after step 206, the following steps B1-step B2 can also be performed:

Step B1, NWDAF determines the second network element type.

Step B2: NWDAF obtains second network element information corresponding to the second network element type from NRF.

The network element information here may be, for example, one or more of address information, identification information, and FQDN of the network element.

As an implementation method, after step B2, the following steps B3-step B4 can also be performed:

Step B3: NWDAF sends a subscription request message to the network element corresponding to the second network element information, where the subscription request message is used to request data subscription to the network element corresponding to the second network element information.

It can also be understood that the subscription request message is used to request a data subscription to the network element corresponding to the second network element type.

As an implementation method, after step B2 or step B3 (under the premise of performing step B3), the following steps B4-step B5 can also be performed:

Step B4: NWDAF obtains the second data from the network element corresponding to the second network element information.

Step B5: NWDAF determines the second data analysis result based on the first data and the second data.

It should be noted that the first data in step B5 may be all or part of the first data.

In a possible implementation manner, the first data here may be the first data obtained in step 203.

In another possible implementation manner, the data analysis network element determines the first network element type unrelated to the data analysis type (analytics ID) through step A1, then the data analysis network element can delete the first network element type in the first data. The data corresponding to the network element type, the remaining data is used as the first data in step B5. In this implementation manner, if the data analysis network element determines that all the first data is not related to the data analysis type (analytics ID), in step B5, NWDAF only determines the second data analysis result based on the second data.

Based on the above step B4-step B5, since the above first data analysis result is not correct, NWDAF further obtains second data from the network element corresponding to the second network element type, and performs data based on the above first data and the second data The analysis obtains the second data analysis result, and the second data analysis result is obtained based on obtaining more data for analysis, which is helpful to determine the accurate data analysis result.

It should be noted that after step B5, the network element type corresponding to the data analysis type can be updated according to the second data analysis result. The implementation method is similar to the process of step 205 to step 206 above, and will not be repeated.

It should be further explained that after the network element type corresponding to the data analysis type included in the NWDAF is updated to the second set, subsequent data acquisition and data analysis may be performed based on the correspondence between the data analysis type and the second set.

This step can realize that NWDAF obtains the data to be analyzed from the network elements corresponding to the updated second set, and NWDAF obtains the second data analysis result according to the data to be analyzed.

As an implementation method, before the above step 201, the following step 200 is further included:

Step 200: The first network element sends a request message to NWDAF. Accordingly, NWDAF can receive the request message.

The request message includes the aforementioned data analysis type, and the request message is used to request to obtain the data analysis result corresponding to the data analysis type.

The first network element may be any network element for requesting to obtain the data analysis result corresponding to the data analysis type, and the first network element is an example of the consumer network element described above.

On the premise of performing step 200, in the first implementation manner, NWDAF may directly send the first data analysis result to the first network element after step 204.

On the premise of performing step 200, in the second implementation manner, if the above steps 205 to 206 are performed, and it belongs to the first situation described above, the following step 207a is performed after step 206:

Step 207a: NWDAF sends the first data analysis result to the first network element. Correspondingly, the first network element can receive the first data analysis result.

On the premise of performing step 200, in the third implementation manner, if the above steps 205 to 206 are performed, and it belongs to the second situation described above, the following step 207b is performed after step 206:

Step 207b, NWDAF sends the second data analysis result to the first network element. Correspondingly, the first network element can receive the second data analysis result.

For the second data analysis result, reference may be made to the foregoing description, which will not be repeated here.

In summary, NWDAF can send the data analysis result (that is, the first data analysis result or the more optimized second data analysis result) to the first network element, which helps to improve communication efficiency.

In a possible implementation method, in addition to the data analysis type, the request message in step 200 may also carry screening information. At this time, the request message is used to request the obtained data analysis type and the data analysis corresponding to the screening information. result.

The screening information may be, for example, area information, or may also be slice information, or may also be area information and slice information. The area information here may be in any form. Specific examples include one or more cell identities, one or more tracking area identities (Tracking Area Identity, TAI), administrative area identities, geographic area latitude and longitude identities, etc. The slice information here can be one or more of the following: network slice selection assistance information (NSSAI), single network slice selection assistance information (single network slice selection assistance information, S-NSSAI), network slice Instance (network slice instance, NSI) information, network slice subnet instance (network slice subnet instance, NSSI) information, etc.

When the request message also carries screening information, the data collected by NWDAF is related to the screening information. Two different implementation methods are given below.

Implementation method 1. Based on any of the embodiments in FIG. 2, the above step 202 is specifically implemented as: NWDAF sends a network element discovery request message to NRF, the network element discovery request message includes the first set and screening information; NWDAF receives the network element from the NRF The discovery response message, the network element discovery response message includes first network element information corresponding to the first set and screening information.

Based on this implementation method, after NWDAF obtains the data analysis type and screening information from the request message of the first network element, it first determines the first set according to the data analysis type, and then sends the first set and the NRF through the network element discovery request message. The screening information, that is, the network element discovery request message is used to request the network element information corresponding to the screening information and the first set (ie, the first network element information).

For example, when the screening information is area information, in the prior art, NRF supports the network element addressing function based on location information, that is, the network element discovery request message received by the prior art NRF can carry the preferred target NF location, but NRF can only identify the Tracking Area Identity (TAI), and cannot identify other forms of location information, such as cells, address locations (such as administrative areas), and so on. In this application, the form of the above-mentioned area information is not limited, and the specific form is as described above.

After receiving the network element discovery request message, the NRF converts the area information into address information that it can recognize. As an implementation method, NRF can send query information to OAM, which carries the above-mentioned area information, and OAM helps to realize the conversion of location information, that is, the area information is converted into address information that can be recognized by the NRF itself.

As another implementation method, NRF can also obtain configuration information from OAM, which includes network topology relationships, that is, the mapping relationship between different forms of location information. NRF realizes the conversion of location information according to the saved network topology relationships, that is, area information. Converted into address information that can be recognized by NRF itself.

As yet another implementation method, the service area of each network element can be configured in the NRF, and the service area can be marked in other forms (such as cell identification, geographic location identification) in addition to being marked in the form of TAI. Assuming that the area information in the network element discovery request message sent by the NWDAF is in the first area format, the NRF uses the first area format to index the corresponding network element, and finally finds a matching network element instance. For example, the service area where AMF instance 1 is stored in NRF is TAI list 1, cell ID list 1, geographic area 1. The area information sent by NWDAF is cell list 1, and NRF determines the corresponding AMF according to cell list 1. The network element instance is AMF instance 1.

Then, the NRF obtains the relevant network element information based on the first set and the converted address information, and then returns the obtained network element information to the NWDAF.

Based on the implementation method 1, the above step 205 is specifically implemented as: NWDAF determines the data analysis type and the second set corresponding to the screening information according to the first data analysis result. The foregoing step 206 is specifically implemented as: NWDAF updates the saved data analysis type and the network element type corresponding to the screening information from the first set to the second set.

Let's describe with an example.

Taking the network performance in Table 1 as an example, the network element types corresponding to the network performance include: RAN, AMF, SMF, and UPF. After adding the screening information, for example, the correspondence between the data analysis type, screening information, and network element type as shown in Table 3 can be obtained.

table 3

It can be seen from Table 3 that, according to the different filtering information, the same data analysis type corresponds to different network element types. Subsequently, the relevant network element types can be obtained based on Table 3, and the data to be analyzed corresponding to the data analysis types can be obtained from the instances of these network element types for model analysis.

Implementation method 2, on the basis of any embodiment of FIG. 2, the above step 201 is specifically implemented as: NWDAF determines the data analysis type and the first set corresponding to the screening information.

Based on this implementation method, after NWDAF obtains the data analysis type and screening information from the request message of the first network element, it determines the first set according to the data analysis type and screening information.

Based on the implementation method 2, the above step 205 is specifically implemented as: NWDAF determines the data analysis type and the second set corresponding to the screening information according to the first data analysis result. The foregoing step 206 is specifically implemented as: NWDAF updates the saved data analysis type and the network element type corresponding to the screening information from the first set to the second set.

For example, NWDAF saves the correspondence between data analysis types, screening information, and network element types. Taking the data analysis type as Network performance as an example, and the correspondence between the data analysis type, filtering information, and network element type stored in NWDAF is shown in Table 3. Based on the implementation method 2, for example, the screening information carried in the request message of the first network element is screening information 1, and the data analysis type is network performance, then NWDAF first determines that the first set is {AMF Type, SMF type, UPF type, RAN type}, and then send the first set to NRF. Next, the NRF obtains the network element information corresponding to the first set and returns it to the NWDAF, so that the NWDAF obtains data from the network elements corresponding to the network element information for analysis to obtain the data analysis result.

As an implementation method, in addition to the first set, NWDAF can also carry screening information in the network element discovery request message sent to NRF, so that NRF can obtain corresponding network element information based on the screening information and the first set. The specific process for the NRF to obtain the corresponding network element information according to the screening information and the first set can refer to the relevant description in the foregoing implementation method 1, which will not be repeated here.

It should be noted that, as an alternative implementation method, in the embodiment of FIG. 2, the first data corresponding to the data analysis type to be analyzed can also be obtained by the following method: NWDAF determines the network corresponding to the data analysis type to be analyzed The first set of meta types, the first network element information corresponding to the first set is obtained from the NRF, and the third set of data types corresponding to the data analysis type to be analyzed is determined, the third set includes one or more Data type, and then, NWDAF obtains the first data corresponding to the third set from the network element corresponding to the first network element information.

Based on this implementation, after NWDAF obtains the first data analysis result according to the first data analysis, it can also determine the fourth set of data types corresponding to the data analysis type according to the first data analysis result, and the fourth set includes a Or multiple data types, the fourth set is different from the third set, and the NWDAF can update the data type corresponding to the saved data analysis type from the third set to the fourth set. For example, referring to Table 2, when NWDAF obtains the first data, it obtains the data corresponding to the data type and the network element type, and after obtaining the data analysis results, the evaluation analysis results are related to those data types, and then Table 2 can be dynamically updated For the content of the data analysis in Table 2, if it is considered that the analysis result has nothing to do with the air interface packet loss rate of the RAN, the air interface packet loss rate in Table 2 can be deleted.

In a possible implementation method, after updating the data type corresponding to the data analysis type from the third set to the fourth set, NWDAF may also perform the following steps: NWDAF determines the first data type, and the first data type is contained in The foregoing third set is not included in the foregoing fourth set; NWDAF sends an unsubscribe request message to the network element corresponding to the first data type, and the unsubscribe request message is used to request cancellation of the data subscription corresponding to the first data type.

In another possible implementation method, after the NWDAF updates the data type corresponding to the data analysis type from the third set to the fourth set, the following steps may be performed: NWDAF determines the second data type, and the second data type includes In the foregoing fourth set but not included in the foregoing third set; NWDAF sends a subscription request message to the network element corresponding to the second data type, and the subscription request message is used to request a data subscription corresponding to the second data type.

In summary, this application provides a method for network element discovery and data analysis based on data analysis types, where NWDAF can provide NRF with network element type information required for network element discovery, so that NRF can help NWDAF address the appropriate Network elements for data collection. Based on the above solution, NWDAF can also provide appropriate network elements with data type information required for data collection, so as to obtain appropriate training data to complete the data analysis function. In addition, NWDAF can update the corresponding relationship between the data analysis type and the network element type and/or data type according to the data analysis result, so that when the data analysis type needs to be analyzed again in the future, the data used for data analysis can be obtained more accurately. Training data.

After the network element type corresponding to the data analysis type is updated from the first set to the second set through the above embodiment, in some scenarios, if it is necessary to analyze the data corresponding to the above data analysis type again, if necessary, If the second network element provides the data analysis result corresponding to the data analysis type, one or more of the following steps C1-step C3 can be performed:

Step C1: NWDAF obtains the third network element information corresponding to the second set from the NRF.

Step C2, NWDAF obtains third data from the network element corresponding to the third network element information.

Step C3, NWDAF analyzes the third data to obtain the third data analysis result.

Wherein, the specific implementation of the above step C1 to step C3 is similar to the process of the above step 202 to step 204, and the foregoing description can be referred to.

Further, after step C3, the following steps C4-step C5 may be included.

Step C4: NWDAF determines a fifth set of network element types corresponding to the data analysis type according to the third data analysis result. The fifth set includes one or more network element types, and the fifth set is different from the second set.

Step C5: NWDAF updates the network element type corresponding to the saved data analysis type from the second set to the fifth set.

Wherein, the specific implementation of the foregoing step C4-step C5 is similar to the process of the foregoing step 204-step 205, and the foregoing description may be referred to.

It should be noted that, if NWDAF has updated the data type corresponding to the data analysis type from the third set to the fourth set before the above steps C1-C3, step C2 can be replaced with the following steps:

Step C2', NWDAF obtains the third data corresponding to the fourth set from the network element corresponding to the third network element information.

Further, after step C3, the following steps C6-step C7 may also be included:

Step C6: NWDAF determines a sixth set of data types corresponding to the data analysis type according to the third data analysis result. The sixth set includes one or more data types, and the sixth set is different from the fourth set.

Step C7: NWDAF updates the data type corresponding to the saved data analysis type from the fourth set to the sixth set.

It should be noted that the names of the above-mentioned messages in this application are merely examples. With the evolution of communication technology, the names of the above-mentioned messages may change accordingly, but as long as the function of the message is the same as the message in this application The function is the same, and the change of its name does not affect the protection scope of this application.

It should be noted that the above-mentioned first set, second set, third set, fourth set and fifth set in this application are only used for distinguishing purposes, and their names may also be other names. And, in specific implementation, it can also be implemented in the form of a list.

It should be noted that the steps in the embodiments of the present application do not limit all steps to be executed, and one or more steps of the foregoing embodiments may be optionally executed.

The foregoing mainly introduces the solution provided by this application from the perspective of interaction between various network elements. It can be understood that, in order to realize the above-mentioned functions, each network element described above includes hardware structures and/or software modules corresponding to each function. 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 invention 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 as going beyond the scope of the present invention.

The following describes the execution steps of different examples in the embodiment of FIG. 2 in combination with different drawings.

As shown in FIG. 3, it is a schematic flowchart of another data analysis method provided for this application. The method includes one or more of the following steps:

Step 300: The network element 1 sends a request message to NWDAF. Accordingly, NWDAF can receive the request message.

The network element 1 is a specific example of the first network element in the embodiment of FIG. 2.

Optionally, the request message includes screening information. For a specific implementation of the screening information, refer to the description of the embodiment in FIG. 2.

For step 301 to step 306, refer to step 201 to step 206 in the embodiment of FIG. 2.

Moreover, in the embodiment of FIG. 3, the second set is a proper subset of the first set, that is, the network element types in the second set are included in the first set.

It should be noted that the network element 2 in FIG. 3 is the network element corresponding to the first network element information in the embodiment in FIG. 2, and the method for determining the network element 2 can refer to the description of the embodiment in FIG. 2, which will not be repeated here.

Step 307: NWDAF sends the first data analysis result to the network element 1. Correspondingly, the network element 1 can receive the first data analysis result.

Step 308: NWDAF determines the first network element type.

The first network element type is a network element type in the first set that has nothing to do with the data analysis type.

Step 309: Optionally, NWDAF sends an unsubscribe request message to the network element corresponding to the first network element type (referred to as network element 3), and the unsubscribe request message is used to request cancellation of the network element corresponding to the first network element type. Data subscription.

It should be noted that the network element 3 may be one network element or multiple network elements. The network element 3 here is one or more of the foregoing network elements 2.

For the specific implementation of step 308 to step 309, reference may be made to the description of step A1 to step A2 in the embodiment of FIG.

It should be noted that there is no strict execution order between step 308-step 309 and step 307. For example, step 307 can be executed before step 308, or it can be executed after step 308 and before step 309, or it can be executed after step 308. Execute after step 309.

As shown in FIG. 4, it is a schematic flowchart of another data analysis method provided by this application. The method includes one or more of the following steps:

Step 400: The network element 1 sends a request message to NWDAF. Accordingly, NWDAF can receive the request message.

For steps 401 to 406, refer to steps 201 to 206 in the embodiment of FIG. 2. In addition, in the embodiment of FIG. 4, the network element type that belongs to the second set but does not belong to the first set is called the second network element type, and the network element corresponding to the second network element type is called network element 4. Element 4 can be one or more network elements.

It should be noted that the network element 2 in FIG. 4 is the network element corresponding to the first network element information in the embodiment in FIG. 2, and the method for determining the network element 2 can refer to the description of the embodiment in FIG. 2, which will not be repeated here.

Step 407: NWDAF determines the second type.

Step 408: NWDAF obtains second network element information corresponding to the second network element type from NRF.

In step 409, the NWDAF sends a subscription request message to the network element 4, where the subscription request message is used to request a data subscription to the network element corresponding to the second network element information (ie, the network element 4).

Step 410: NWDAF obtains second data from the network element corresponding to the second network element information.

Step 411: NWDAF determines the second data analysis result according to the first data and the second data.

For the specific implementation of the foregoing step 407-step 411, reference may be made to the description of step B1-step B5 in the embodiment of FIG. 2.

Step 412: NWDAF sends the second data analysis result to the network element 1. Correspondingly, the network element 2 can receive the second data analysis result.

Based on the embodiment in Figure 3 or Figure 4, after the first network element (ie, network element 1) sends a request message to NWDAF, NWDAF updates the mapping relationship (the mapping relationship between the data analysis type and the network element type, and/or the data analysis type Mapping relationship with data types). If the subsequent second network element (the second network element and the first network element may be the same or different, here the second network element is also referred to as network element 5) again requests the data analysis result corresponding to the data analysis type, then The NWDAF may obtain network element information from the NRF according to the updated mapping relationship, obtain data from the network element corresponding to the network element information, and obtain the third data analysis result according to the obtained data. Described below in conjunction with FIG. 5, the method includes one or more of the following steps:

In step 500, the network element 5 sends a request message to NWDAF.

The request message includes the data analysis type. Optionally, the request message also includes screening information.

Step 501: NWDAF determines a second set of network element types corresponding to the data analysis type.

Step 502: NWDAF obtains the third network element information corresponding to the second set from the NRF.

Step 503: NWDAF obtains third data from a network element (referred to as network element 6) corresponding to the third network element information. The network element 6 here may be one or more network elements.

It should be noted that, if NWDAF has updated the data type corresponding to the data analysis type from the third set to the fourth set before the network element 5 initiates step 500, then step 503 is specifically: NWDAF corresponds to the third network element information The network element obtains the third data corresponding to the fourth set.

Step 504: NWDAF analyzes the third data to obtain the third data analysis result.

Optionally, after step 504, NWDAF may also determine a fifth set of network element types corresponding to the data analysis type according to the third data analysis result, and the fifth set includes one or more network element types. If the fifth set is not the same as the above-mentioned second set, the subsequent step of updating the network element type corresponding to the saved data analysis type from the second set to the fifth set is also required.

Optionally, after step 504, NWDAF may also determine a sixth set of data types corresponding to the data analysis type according to the third data analysis result, and the sixth set includes one or more data types. If the sixth set is not the same as the fourth set, then the subsequent step of updating the data type corresponding to the saved data analysis type from the fourth set to the sixth set is also required.

Further, according to different scenarios (for example, the fifth set is a proper subset of the first set, or there is at least one network element type that does not belong to the second set in the fifth set), the NWDAF sends the third analysis result to the first set The second network element, or re-analyze the data based on the newly acquired data and the third data to obtain the fourth analysis result and send it to the second network element. The specific implementation process is similar to the related solution of step 207a or step 207b in the embodiment of FIG. 2, and will not be repeated here.

It should be noted that, in step 500, if the request message carries screening information, the specific method of using the screening information may refer to the description of the method of using the screening information in the embodiment of FIG. 2, which will not be repeated here.

It should be noted that in the embodiment of FIG. 5, many other different implementation methods can be added, such as combining data types. For the specific implementation process, please refer to the description of the method of using data types in the embodiment of FIG. 2, which will not be omitted here. Repeat.

As shown in FIG. 6, a possible exemplary block diagram of the data analysis device involved in this application. The device 600 may exist in the form of software or hardware. The apparatus 600 may include: a processing unit 602 and a communication unit 603. As an implementation manner, the communication unit 603 may include a receiving unit and a sending unit. The processing unit 602 is used to control and manage the actions of the device 600. The communication unit 603 is used to support communication between the device 600 and other network entities. The device 600 may further include a storage unit 601 for storing program codes and data of the device 600.

The processing unit 602 may be a processor or a controller, for example, a general-purpose central processing unit (central processing unit, CPU), a general-purpose processor, a digital signal processing (digital signal processing, DSP), and an application specific integrated circuit (application specific integrated circuit). circuits, ASIC), field programmable gate array (FPGA) 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 for realizing computing functions, for example, including a combination of one or more microprocessors, a combination of a DSP and a microprocessor, and so on. The storage unit 601 may be a memory. The communication unit 603 is an interface circuit of the device for receiving signals from other devices. For example, when the device is implemented as a chip, the communication unit 603 is an interface circuit for the chip to receive signals from other chips or devices, or an interface circuit for the chip to send signals to other chips or devices.

The device 600 may be the data analysis network element in any of the foregoing embodiments, and may also be a chip used for the data analysis network element. For example, when the apparatus 600 is a data analysis network element, the processing unit 602 may be a processor, for example, and the communication unit 603 may be a transceiver, for example. Optionally, the transceiver may include a radio frequency circuit, and the storage unit may be, for example, a memory. For example, when the device 600 is a chip for a data analysis network element, the processing unit 602 may be, for example, a processor, and the communication unit 603 may be, for example, an input/output interface, a pin, or a circuit. The processing unit 602 can execute computer-executable instructions stored in the storage unit. Optionally, the storage unit is a storage unit in the chip, such as a register, a cache, etc., and the storage unit may also be a storage unit located in the data analysis network element. The storage unit outside the chip, such as read-only memory (ROM) or other types of static storage devices that can store static information and instructions, random access memory (RAM), etc.

In one embodiment, the device 600 is a data analysis network element, and the processing unit 602 is configured to determine a first set of network element types corresponding to the data analysis type to be analyzed, the first set including one or more network element types; The data analysis network element obtains the first network element information corresponding to the first set from the network warehouse functional network element; the communication unit 603 is configured to obtain the first data from the network element corresponding to the first network element information; the processing unit 602 is also configured to According to the first data, the first data analysis result is obtained.

In a possible implementation method, the processing unit 602 is specifically configured to determine the first set corresponding to the data analysis type according to the correspondence between the data analysis type and the first set.

In a possible implementation method, the processing unit 602 is further configured to determine a second set of network element types corresponding to the data analysis type according to the first data analysis result. The second set includes one or more network element types. The second set is different from the first set; the network element type corresponding to the data analysis type is updated from the first set to the second set.

In a possible implementation method, the processing unit 602 is specifically configured to determine the second set corresponding to the data analysis type and screening information according to the first data analysis result; and to determine the network corresponding to the data analysis type and screening information. The meta type is updated from the first set to the second set.

In a possible implementation method, the processing unit 602 is specifically configured to determine a third set of data types corresponding to the data analysis type. The third set includes one or more data types; the communication unit 603 is specifically configured to download data from the first The network element corresponding to the network element information obtains the first data corresponding to the third set.

In a possible implementation method, the processing unit 602 is specifically configured to determine the foregoing first set according to the third set.

In a possible implementation method, the processing unit 602 is further configured to determine a fourth set of data types corresponding to the data analysis type according to the first data analysis result. The fourth set includes one or more data types, and the fourth set It is different from the third set; the data analysis network element updates the data type corresponding to the data analysis type from the third set to the fourth set.

In a possible implementation method, the processing unit 602 is also used to determine the first network element type, the first network element type is included in the first set but not included in the second set; the communication unit 603 is also used to send A network element corresponding to a network element type sends an unsubscription request message, and the unsubscription request message is used to request cancellation of data subscription to the network element corresponding to the first network element type.

In a possible implementation method, the processing unit 602 is specifically configured to determine the second network element type. The second network element type is included in the second set but not included in the first set; the data analysis network element is from the network warehouse function network The element obtains the second network element information corresponding to the second network element type.

In a possible implementation method, the communication unit 603 is also used to obtain the second data from the network element corresponding to the second network element information; the processing unit 602 is also used to analyze the first data and the second data to obtain The second data analysis result.

In a possible implementation method, the communication unit 603 is also used to receive a request message from the first network element, the request message includes data analysis type and screening information; the processing unit 602 is specifically used to determine the data analysis type and screening information. The first set of information.

In a possible implementation method, the communication unit 603 is specifically configured to receive a request message from the first network element. The request message includes data analysis type and screening information, and the request message is used to request to obtain information corresponding to the data analysis type and screening information. The data analysis result of the network; the network element discovery request message is sent to the network warehouse function network element, the network element discovery request message includes the first set and screening information; the data analysis network element receives the network element discovery response message from the network warehouse function network element, the network element The discovery response message includes first network element information corresponding to the first set and screening information.

In a possible implementation method, the communication unit 603 is further configured to send the first data analysis result to the first network element.

In a possible implementation method, the processing unit 602 is also used to determine the second data type, which is included in the fourth set but not included in the third set; the communication unit 603 is also used to The network element corresponding to the second data type sends a subscription request message, where the subscription request message is used to request a data subscription corresponding to the second data type.

In a possible implementation method, the processing unit 602 is specifically configured to determine the second set according to the fourth set.

In a possible implementation method, the communication unit 603 is further configured to obtain the third network element information corresponding to the second set from the network warehouse functional network element; obtain the third data from the network element corresponding to the third network element information; process The unit 602 is also used to analyze the third data to obtain the third data analysis result.

In a possible implementation method, the processing unit 602 is further configured to determine a fifth set of network element types corresponding to the data analysis type according to the third data analysis result. The fifth set includes one or more network element types. The fifth set is different from the second set; the network element type corresponding to the data analysis type is updated from the second set to the fifth set.

In a possible implementation method, the communication unit 603 is specifically configured to send a network element discovery request message to a network warehouse functional network element, the network element discovery request message includes the first set; and receive a network element discovery response from the network warehouse functional network element Message, the network element discovery response message includes the first network element information corresponding to the first set.

In a possible implementation method, the processing unit 602 is also used to determine the first data type, the first data type is included in the third set but not included in the fourth set; the communication unit 603 is also used to send the first data The network element corresponding to the type sends an unsubscribe request message, and the unsubscribe request message is used to request cancellation of the data subscription corresponding to the first data type.

It is understandable that, for the specific implementation process and corresponding beneficial effects when the device is used in the foregoing data analysis method, reference may be made to the relevant description in the foregoing method embodiment, which will not be repeated here.

As shown in FIG. 7, a schematic diagram of a data analysis device provided in this application, and the device may be the data analysis network element in the foregoing embodiment. The device 700 includes a processor 702, a communication interface 703, and a memory 701. Optionally, the apparatus 700 may further include a communication line 704. Among them, the communication interface 703, the processor 702, and the memory 701 may be connected to each other through a communication line 704; the communication line 704 may be a peripheral component interconnect (PCI) bus or an extended industry standard architecture (extended industry standard architecture) , Referred to as EISA) bus and so on. The communication line 704 can be divided into an address bus, a data bus, a control bus, and so on. For ease of presentation, only one thick line is used in FIG. 7, but it does not mean that there is only one bus or one type of bus.

The processor 702 may be a CPU, a microprocessor, an ASIC, or one or more integrated circuits for controlling the execution of the program of the present application.

The communication interface 703 uses any device such as a transceiver to communicate with other devices or communication networks, such as Ethernet, radio access network (RAN), wireless local area networks (WLAN), Wired access network, etc.

The memory 701 can be ROM or other types of static storage devices that can store static information and instructions, RAM or other types of dynamic storage devices that can store information and instructions, or can be electrically erasable programmable read-only memory (electrically erasable programmable read-only memory). read-only memory, EEPROM), compact disc (read-only memory, CD-ROM) or other optical disc storage, optical disc storage (including compact discs, laser discs, optical discs, digital universal discs, Blu-ray discs, etc.), magnetic disks A storage medium or other magnetic storage device, or any other medium that can be used to carry or store desired program codes in the form of instructions or data structures and that can be accessed by a computer, but is not limited thereto. The memory may exist independently and is connected to the processor through the communication line 704. The memory can also be integrated with the processor.

The memory 701 is used to store computer-executed instructions for executing the solution of the present application, and the processor 702 controls the execution. The processor 702 is configured to execute computer-executable instructions stored in the memory 701, so as to implement the data analysis method provided in the foregoing embodiment of the present application.

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

As shown in FIG. 8, a schematic diagram of a data analysis system 800 provided by an embodiment of this application. The system 800 includes a network warehouse function network element 801 and a data analysis device 802.

The data analysis device 802 is configured to determine a first set of network element types corresponding to the data analysis type to be analyzed, the first set including one or more network element types; the first set is obtained from the network warehouse function network element Corresponding first network element information; obtaining first data from a network element corresponding to the first network element information; and obtaining a first data analysis result according to the first data;

The network warehouse function network element 801 is configured to obtain the first network element information corresponding to the first set and send it to the data analysis device 802.

In a possible implementation method, the data analysis device 802 is specifically configured to determine the first set corresponding to the data analysis type according to the correspondence between the data analysis type and the first set.

In a possible implementation method, the data analysis device 802 is further configured to determine a second set of network element types corresponding to the data analysis type according to the first data analysis result, and the second set includes one or A plurality of network element types, the second set is different from the first set; and used to update the network element type corresponding to the data analysis type from the first set to the second set.

In a possible implementation method, the data analysis device 802 is specifically configured to determine a third set of data types corresponding to the data analysis type, and the third set includes one or more data types; and, from the The network element corresponding to the first network element information obtains the first data corresponding to the third set.

In a possible implementation method, the data analysis device 802 is further configured to determine a fourth set of data types corresponding to the data analysis type according to the first data analysis result, and the fourth set includes one or more data types. The fourth set is different from the third set; and the data type corresponding to the data analysis type is updated from the third set to the fourth set.

In a possible implementation method, the data analysis device 802 is also used to determine a first network element type, which is included in the first set but not in the second set; and, Sending an unsubscribe request message to the network element corresponding to the first network element type, where the unsubscription request message is used to request cancellation of the data subscription to the network element corresponding to the first network element type.

In a possible implementation method, the data analysis device 802 is further configured to determine a second network element type, which is included in the second set but not included in the first set; and, Obtain second network element information corresponding to the second network element type from the network warehouse functional network element.

In a possible implementation method, the data analysis device 802 is further configured to obtain second data from the network element corresponding to the second network element information; and to analyze the first data and the second data , Get the second data analysis result.

In a possible implementation method, the data analysis device 802 is specifically configured to receive a request message from the first network element, where the request message includes the data analysis type and screening information; and, determining the data analysis type The first set corresponding to the screening information.

In a possible implementation method, the data analysis device 802 is specifically configured to receive a request message from the first network element, where the request message includes the data analysis type and screening information, and the request message is used to request acquisition and The data analysis type and the data analysis result corresponding to the screening information; sending a network element discovery request message to the network warehouse function network element, the network element discovery request message including the first set and the screening information; And, receiving a network element discovery response message from the network warehouse function network element, where the network element discovery response message includes the first network element information corresponding to the first set and the screening information.

In a possible implementation method, the data analysis device 802 is further configured to send the first data analysis result to the first network element.

It can be understood that, for the specific implementation process and corresponding beneficial effects when the system is used in the foregoing data analysis method, reference may be made to the relevant description in the foregoing method embodiment, which will not be repeated here.

A person of ordinary skill in the art can understand that the various digital numbers such as first and second involved in the present application are only for easy distinction for description, and are not used to limit the scope of the embodiments of the present application, but also indicate a sequence. "And/or" describes the association relationship of the associated objects, indicating that there can be three types of 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. The character "/" generally indicates that the associated objects are in an "or" relationship. "At least one" means one or more. At least two means two or more. "At least one", "any one" or similar expressions refer to any combination of these items, including any combination of single item (a) or plural items (a). For example, at least one (piece, species) of a, b, or c can represent: a, b, c, ab, ac, bc, or abc, where a, b, and c can be single or Multiple. "Multiple" refers to two or more, and other measure words are similar. In addition, for elements in the singular form "a", "an" and "the", unless the context clearly dictates otherwise, it does not mean "one or only one", but means "one or more At one". For example, "a device" means to one or more such devices.

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 instructions. When the computer program instructions are loaded and executed on the computer, the processes or functions described in the embodiments of the present application are generated in whole or in part. The computer may be a general-purpose computer, a special-purpose computer, a computer network, or other programmable devices. The computer instructions 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 instructions may be transmitted from a website, computer, server, or data center. Transmission to another website site, computer, server or data center via wired (such as coaxial cable, optical fiber, digital subscriber line (DSL)) or wireless (such as infrared, wireless, microwave, etc.). 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 integrated with one or more available media. The usable medium may be a magnetic medium (for example, a floppy disk, a hard disk, and a magnetic tape), an optical medium (for example, a DVD), or a semiconductor medium (for example, a solid state disk (SSD)).

The various illustrative logic units and circuits described in the embodiments of this application can be implemented by general-purpose processors, digital signal processors, application-specific integrated circuits (ASIC), field programmable gate arrays (FPGA) or other programmable logic devices, Discrete gates or transistor logic, discrete hardware components, or any combination of the above are designed to implement or operate the described functions. The general-purpose processor may be a microprocessor, and optionally, the general-purpose processor may also be any traditional processor, controller, microcontroller, or state machine. The processor can also be implemented by a combination of computing devices, such as a digital signal processor and a microprocessor, multiple microprocessors, one or more microprocessors combined with a digital signal processor core, or any other similar configuration achieve.

The steps of the method or algorithm described in the embodiments of the present application can be directly embedded in hardware, a software unit executed by a processor, or a combination of the two. The software unit can be stored in RAM memory, flash memory, ROM memory, EPROM memory, EEPROM memory, registers, hard disk, removable disk, CD-ROM or any other storage medium in the field. Exemplarily, the storage medium may be connected to the processor, so that the processor can read information from the storage medium, and can store and write information to the storage medium. Optionally, the storage medium may also be integrated into the processor. The processor and the storage medium can be arranged in the ASIC.

These computer program instructions can also be loaded on a computer or other programmable data processing equipment, so that a series of operation steps are executed on the computer or other programmable equipment to produce computer-implemented processing, so as to execute on the computer or other programmable equipment. The instructions provide steps for implementing functions specified in a flow or multiple flows in the flowchart and/or a block or multiple blocks in the block diagram.

In one or more exemplary designs, the aforementioned functions described in this application can be implemented in hardware, software, firmware, or any combination of the three. If implemented in software, these functions can be stored on a computer-readable medium, or transmitted on a computer-readable medium in the form of one or more instructions or codes. Computer-readable media include computer storage media and communication media that facilitate the transfer of computer programs from one place to another. The storage medium can be any available medium that can be accessed by a general-purpose or special computer. For example, such computer-readable media may include but are not limited to RAM, ROM, EEPROM, CD-ROM or other optical disk storage, magnetic disk storage or other magnetic storage devices, or any other device that can be used to carry or store instructions or data structures and Other mediums of program codes that can be read by general-purpose or special computers, or general-purpose or special processors. In addition, any connection can be appropriately defined as a computer-readable medium, for example, if the software is from a website, server, or other remote source through a coaxial cable, fiber optic computer, twisted pair, or digital subscriber line (DSL) Or transmitted by wireless means such as infrared, wireless and microwave are also included in the definition of computer-readable media. The mentioned disks and discs include compressed disks, laser disks, optical discs, digital versatile discs (English: Digital Versatile Disc, abbreviated as: DVD), floppy disks and Blu-ray discs. Disks usually copy data with magnetism. Discs usually use lasers to copy data optically. The combination of the above can also be included in a computer readable medium.

Those skilled in the art should be aware that in one or more of the above examples, the functions described in this application can be implemented by hardware, software, firmware or any combination thereof. When implemented by software, these functions can be stored in a computer-readable medium or transmitted as one or more instructions or codes on the computer-readable medium. The computer-readable medium includes a computer storage medium and a communication medium, where the communication medium includes any medium that facilitates the transfer of a computer program from one place to another. The storage medium may be any available medium that can be accessed by a general-purpose or special-purpose computer.

The specific implementations described above further describe the purpose, technical solutions and beneficial effects of this application in detail. It should be understood that the above are only specific implementations of this application and are not intended to limit the scope of this application. The protection scope, any modification, equivalent replacement, improvement, etc. made on the basis of the technical solution of this application shall be included in the protection scope of this application. The above description of the specification of this application can enable any technology in the field to utilize or realize the content of this application. Any modification based on the disclosed content should be considered obvious in the art. The basic principles described in this application can be applied to other modifications. Without departing from the nature and scope of the invention of this application. Therefore, the content disclosed in this application is not only limited to the described embodiments and designs, but can also be extended to the maximum range consistent with the principles and new features disclosed in this application.

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, this specification and drawings are merely exemplary descriptions of the application defined by the appended claims, and are deemed to have covered 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 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 data analysis method, characterized in that it comprises:

The data analysis network element determines a first set of network element types corresponding to the data analysis type to be analyzed, where the first set includes one or more network element types;

The data analysis network element obtains the first network element information corresponding to the first set from the network warehouse function network element;

The data analysis network element obtains the first data from the network element corresponding to the first network element information;

The data analysis network element obtains a first data analysis result according to the first data.
The method according to claim 1, wherein the data analysis network element determining the first set of network element types corresponding to the data analysis type to be analyzed comprises:

The data analysis network element determines the first set corresponding to the data analysis type according to the correspondence between the data analysis type and the first set.
The method according to claim 1 or 2, wherein the method further comprises:

The data analysis network element determines a second set of network element types corresponding to the data analysis type according to the first data analysis result, the second set includes one or more network element types, and the second set Is different from the first set;

The data analysis network element updates the network element type corresponding to the data analysis type from the first set to the second set.
The method according to any one of claims 1-3, wherein the method further comprises:

The data analysis network element determines a third set of data types corresponding to the data analysis type, where the third set includes one or more data types;

The data analysis network element acquiring the first data from the network element corresponding to the first network element information includes:

The data analysis network element obtains the first data corresponding to the third set from the network element corresponding to the first network element information.
The method according to claim 4, wherein the method further comprises:

The data analysis network element determines, according to the first data analysis result, a fourth set of data types corresponding to the data analysis type. The fourth set includes one or more data types. The third set is different;

The data analysis network element updates the data type corresponding to the data analysis type from the third set to the fourth set.
The method of claim 3, wherein the method further comprises:

The data analysis network element determines a first network element type, and the first network element type is included in the first set but not included in the second set;

The data analysis network element sends an unsubscribe request message to the network element corresponding to the first network element type, where the unsubscribe request message is used to request cancellation of the data subscription to the network element corresponding to the first network element type.
The method of claim 3, wherein the method further comprises:

The data analysis network element determines a second network element type, the second network element type is included in the second set but not included in the first set;

The data analysis network element obtains second network element information corresponding to the second network element type from the network warehouse functional network element.
8. The method of claim 7, wherein the method further comprises:

The data analysis network element obtains second data from the network element corresponding to the second network element information;

The data analysis network element analyzes the first data and the second data to obtain a second data analysis result.
8. The method according to any one of claims 1-8, wherein the method further comprises:

The data analysis network element receives a request message from a first network element, the request message including the data analysis type and screening information;

The data analysis network element determining the first set of network element types corresponding to the data analysis type to be analyzed includes:

The data analysis network element determines the first set corresponding to the data analysis type and the screening information.
8. The method according to any one of claims 1-8, wherein the method further comprises:

The data analysis network element receives a request message from a first network element, the request message includes the data analysis type and screening information, and the request message is used to request to obtain information corresponding to the data analysis type and the screening information Data analysis results;

The data analysis network element acquiring the first network element information corresponding to the first set from the network warehouse functional network element includes:

Sending, by the data analysis network element, a network element discovery request message to the network warehouse function network element, where the network element discovery request message includes the first set and the screening information;

The data analysis network element receives a network element discovery response message from the network warehouse functional network element, and the network element discovery response message includes the first network element information corresponding to the first set and the screening information.
The method according to any one of claims 1-10, wherein the method further comprises:

The data analysis network element sends the first data analysis result to the first network element.
A data analysis device, characterized by comprising: a processing unit and a communication unit;

The processing unit is configured to determine a first set of network element types corresponding to a data analysis type to be analyzed, and the first set includes one or more network element types;

The communication unit is configured to obtain first network element information corresponding to the first set from a network warehouse functional network element; and obtain first data from a network element corresponding to the first network element information;

The processing unit is further configured to obtain a first data analysis result according to the first data.
The device of claim 12, wherein the processing unit is specifically configured to determine the first set corresponding to the data analysis type according to the correspondence between the data analysis type and the first set .
The device according to claim 12 or 13, wherein the processing unit is further configured to:

According to the first data analysis result, a second set of network element types corresponding to the data analysis type is determined, the second set includes one or more network element types, and the second set is the same as the first set Not the same;

The network element type corresponding to the data analysis type is updated from the first set to the second set.
The device according to any one of claims 12-14, wherein the processing unit is further configured to:

Determining a third set of data types corresponding to the data analysis type, where the third set includes one or more data types;

The communication unit is specifically configured to obtain the first data corresponding to the third set from a network element corresponding to the first network element information.
The device according to claim 15, wherein the processing unit is further configured to:

According to the first data analysis result, a fourth set of data types corresponding to the data analysis type is determined, the fourth set includes one or more data types, and the fourth set is different from the third set ；

The data type corresponding to the data analysis type is updated from the third set to the fourth set.
The apparatus according to claim 14, wherein the processing unit is further configured to determine a first network element type, and the first network element type is included in the first set but not included in the second set. set;

The communication unit is further configured to send an unsubscribe request message to the network element corresponding to the first network element type, where the unsubscribe request message is used to request cancellation of data on the network element corresponding to the first network element type subscription.
The device according to claim 14, wherein the processing unit is further configured to determine a second network element type, the second network element type being included in the second set but not in the first set;

The communication unit is further configured to obtain second network element information corresponding to the second network element type from the network warehouse functional network element.
The apparatus according to claim 18, wherein the communication unit is further configured to obtain second data from a network element corresponding to the second network element information;

The processing unit is further configured to analyze the first data and the second data to obtain a second data analysis result.
The device according to any one of claims 12-19, wherein the communication unit is further configured to receive a request message from a first network element, the request message including the data analysis type and screening information;

The processing unit is specifically configured to determine the first set corresponding to the data analysis type and the screening information.
The device according to any one of claims 12-19, wherein the communication unit is specifically configured to:

Receiving a request message from a first network element, the request message including the data analysis type and screening information, the request message being used to request to obtain a data analysis result corresponding to the data analysis type and the screening information;

Sending a network element discovery request message to the network warehouse function network element, where the network element discovery request message includes the first set and the screening information;

A network element discovery response message is received from the network warehouse function network element, where the network element discovery response message includes the first network element information corresponding to the first set and the screening information.
The device according to any one of claims 13-21, wherein the communication unit is further configured to send the first data analysis result to the first network element.
A data analysis device, characterized by comprising: a processor and an interface circuit, the processor is used to communicate with a network device through the interface circuit and execute the method according to any one of claims 1-11.
A data analysis device, characterized by comprising a processor, which is used to connect with a memory and call a program stored in the memory to execute the method according to any one of claims 1-11.
A data analysis network element, characterized by comprising the device according to any one of claims 12-22.
A storage medium, characterized in that a computer program or instruction is stored thereon, and it is characterized in that when the computer program or instruction is executed, a processor executes the method according to any one of claims 1-11.
A data analysis system, characterized by comprising a network warehouse function network element and the device according to any one of claims 12-22.