Detailed Description
In order to make the objects, technical solutions and advantages of the embodiments of the present application clearer, the technical solutions in the embodiments of the present application will be clearly and completely described below with reference to the drawings in the embodiments of the present application, and it is obvious that the described embodiments are some embodiments of the present application, but not all embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present application.
The terminology used in the embodiments of the present application is for the purpose of describing particular embodiments only and is not intended to be limiting of the application. As used in the examples of this application and the appended claims, the singular forms "a", "an", and "the" are intended to include the plural forms as well, unless the context clearly indicates otherwise, and "a" and "an" typically include at least two, but do not exclude the presence of at least one.
It should be understood that the term "and/or" as used herein is merely one type of association that describes an associated object, meaning that three relationships may exist, e.g., a and/or B may mean: a exists alone, A and B exist simultaneously, and B exists alone. In addition, the character "/" herein generally indicates that the former and latter related objects are in an "or" relationship.
The words "if", as used herein, may be interpreted as "at … …" or "at … …" or "in response to a determination" or "in response to a detection", depending on the context. Similarly, the phrases "if determined" or "if detected (a stated condition or event)" may be interpreted as "when determined" or "in response to a determination" or "when detected (a stated condition or event)" or "in response to a detection (a stated condition or event)", depending on the context.
It is also noted that the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a good or system that comprises a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such good or system. Without further limitation, an element defined by the phrase "comprising an … …" does not exclude the presence of other like elements in a commodity or system that includes the element.
In addition, the sequence of steps in each method embodiment described below is only an example and is not strictly limited.
In order to facilitate those skilled in the art to understand the technical solutions provided in the embodiments of the present application, the following description is provided for the related technologies:
in the 5G communication system, a Core Access and mobility Management Function (AMF) is responsible for accessing the Core network and mobility Management of the terminal device. With the continuous development of communication technology, the separation deployment of the control plane and the forwarding plane of the mobile core Network and the cloud deployment of the core Network become trends, and at this time, the geographical coupling between the control plane key node AMF and the controlled Radio Access Network (RAN)/user equipment UE becomes more and more loose, and in addition, the RAN generally implements a topology structure of a full-Network connection with a plurality of AMFs. Therefore, the location information of the AMF has many potential application values, such as: the capital expenditure CAPEX/business activity expenditure OPEX lifting operation such as the optimization of the signaling transmission path and the like can be performed based on the location information of the AMF, so how to improve the communication performance of the separately deployed communication system is a problem which needs to be solved urgently.
In order to solve the above technical problem, the present embodiment provides a wireless communication method, an AMF, and a RAN. The wireless communication method can acquire the position information of the separately deployed AMF, and can improve the wireless communication performance and quality based on the position information of the AMF. Specifically, the executing subject of the wireless communication method may be a wireless communication system, and as shown in fig. 1, the wireless communication system may include: user Equipment (UE), Core Access and mobility Management Function (AMF), and Radio Access Network (RAN). The UE is connected with the AMF through an N1 interface, and is connected with the RAN through a Radio Resource Control (RRC) protocol; the RAN is connected to the AMF via an N2 interface.
A user equipment UE may be referred to as a Terminal (Terminal), a Mobile Station (MS), a Mobile Terminal (Mobile Terminal), and the like, and the user equipment UE may communicate with one or more core networks through a Radio Access Network (RAN), and may be referred to as an access Terminal, a Terminal device, a subscriber unit, a subscriber station, a Mobile station, a remote Terminal, a Mobile device, a user Terminal, a wireless communication device, a user agent, or a user equipment. The UE may be a cellular phone, a cordless phone, a Session Initiation Protocol (SIP) phone, a Wireless Local Loop (WLL) station, a Personal Digital Assistant (PDA), a handheld device with Wireless communication function, a computer device or other processing device connected to a Wireless modem, a vehicle-mounted device, a wearable device, a terminal device in a future 5G network, and the like.
The radio access equipment RAN may include equipment for communicating with the UE, such as a base station or a base station controller. It should be understood that the RAN may communicate with any number of UEs similar to a UE. Each RAN may provide communication coverage for a particular geographic area and may communicate with terminal devices (e.g., UEs) located within that coverage area (cell), may support different systems of communication protocols, or may support different communication modes. Optionally, the RAN may be an Evolved Node B (eNodeB), or a wireless fidelity Access Point (WiFi AP), or a worldwide interoperability for Microwave Access Base Station (WiMAX BS), or a wireless controller in a Cloud Radio Access Network (CRAN), or the Network device may be a Network device in a 5G Network or a Network device in a Public Land Mobile Network (PLMN) for future evolution, and the like.
In addition, one AMF may serve multiple UEs simultaneously. The AMF may reselect a serving AMF for the UE. It should be appreciated that the RRC connection and N2 interface for the UE may be released when the UE enters the idle state.
In this embodiment of the present application, the number of AMFs capable of establishing a communication connection with the RAN is multiple, and the multiple AMFs are deployed in a separated manner, at this time, each AMF may obtain corresponding location information, where the location information may include: the location area identification, the location data center identification, the location AMF pool identification and the like. In order to enable the communication connection to be established between the AMF and the RAN, the RAN may generate a connection request corresponding to the AMF, and it should be noted that when the number of AMFs is multiple, the generated connection request is also multiple; the RAN then sends the generated connection request to the corresponding AMF, after the AMF obtains the connection request, the RAN may generate connection feedback information in combination with the location information corresponding to the AMF, where the connection feedback information may include the location information corresponding to the AMF, and send the generated connection feedback information to the RAN, so that the RAN establishes a communication connection with the AMF based on the connection feedback information, thereby effectively implementing that the RAN can not only establish a communication connection with each AMF, but also can obtain the location information corresponding to each AMF based on the connection process, and then facilitating corresponding adjustment and control operations on data corresponding to the AMF based on the location information, and facilitating improvement of quality and efficiency of data processing.
The following describes the wireless communication method, the AMF, and the RAN provided in the embodiments of the present application in detail through an exemplary application scenario.
Fig. 2 is an interaction diagram of a wireless communication method according to an embodiment of the present application; referring to fig. 2, the embodiment provides a wireless communication method, and an execution subject of the method may be a core network access and mobility management function AMF. Specifically, the wireless communication method may include:
step S201: and a core network access and mobility management function AMF acquires a connection establishment request sent by radio access network equipment RAN.
Step S202: and the AMF generates connection feedback information corresponding to the connection request, wherein the connection feedback information comprises position information corresponding to the AMF.
Step S203: the AMF sends the connection feedback information to the RAN so that the RAN establishes communication connection with the AMF based on the connection feedback information.
The above steps are explained in detail below:
step S201: and a core network access and mobility management function AMF acquires a connection establishment request sent by radio access network equipment RAN.
Specifically, the RAN may generate a corresponding connection establishment request for an AMF that needs to be connected, and note that, in order to enable communication connection establishment between the RAN and multiple AMFs, the RAN generates connection establishment requests for establishing communication connections for multiple different AMFs, and then may send the connection establishment requests to one or multiple AMFs, so that the one or multiple AMFs may acquire the connection establishment requests sent by the RAN, where the connection establishment requests may include: identity of the RAN, address information of the RAN, port information of the RAN, and the like.
Step S202: and the AMF generates connection feedback information corresponding to the connection request, wherein the connection feedback information comprises position information corresponding to the AMF.
When the number of AMFs is multiple, the multiple AMFs may be deployed in a separate manner in the entire network architecture, and in order to fully and effectively utilize the multiple AMFs that are deployed in a separate manner, each AMF may store location information corresponding to each AMF, where the location information is used to identify a specific deployment location of the AMF in the network, it may be understood that different AMFs may correspond to the same location information or different location information.
After the AMF obtains the connection request, the connection request may be analyzed to generate connection feedback information corresponding to the connection request, where the connection feedback information includes location information corresponding to the AMF. In some examples, the AMF generating the connection feedback information corresponding to the connection request may include: the AMF determines position information corresponding to the AMF based on the connection establishing request; and the AMF generates connection feedback information corresponding to the connection request based on the position information.
Specifically, after the AMF obtains the connection request, the AMF may analyze the connection request to determine the location information corresponding to the AMF, and then the AMF may combine the obtained location information to generate connection feedback information corresponding to the connection request, where the connection feedback information may include the location information corresponding to the AMF. It can be understood that the connection feedback information may include not only the location information corresponding to the AMF, but also an identity of the AMF that needs to establish a connection with the RAN, address information of the AMF, port information of the AMF, and the like.
Step S203: the AMF sends the connection feedback information to the RAN so that the RAN establishes communication connection with the AMF based on the connection feedback information.
After generating the connection feedback information, in order to enable the AMF to establish a communication connection with the RAN, the AMF may send the connection feedback information to the RAN so that the RAN may establish a communication connection with the AMF based on the connection feedback information.
For example, fig. 3 provides a wireless communication system including a RAN and a plurality of AMFs, which may be deployed in a split manner in a network architecture, and which may include: the mobile terminal may further include a first AMF, a second AMF, a third AMF, and a fourth AMF, wherein the first AMF and the second AMF may correspond to location information a, and the third AMF and the fourth AMF may correspond to location information b.
The RAN may generate connection requests corresponding to the multiple AMFs, and then may send the connection requests corresponding to the multiple AMFs to the respective AMFs, so that the respective AMFs may obtain the connection requests, and then may generate connection feedback information based on the connection requests, it may be understood that different AMFs may generate different connection feedback information, for example: the first AMF may generate the connection feedback information 1, the second AMF may generate the connection feedback information 2, the third AMF may generate the connection feedback information 3, and the fourth AMF may generate the connection feedback information 4, where each of the connection feedback information includes the position information of the corresponding AMF, that is, the connection feedback information 1 and the connection feedback information 2 respectively include: the position information a corresponding to the first AMF, the position information a corresponding to the second AMF, the connection feedback information 3 and the connection feedback information 4 respectively include: position information b corresponding to the third AMF, and position information b corresponding to the fourth AMF.
It should be noted that, in addition to the location information a, the connection feedback information 1 may further include an identity, address information, port information, and the like corresponding to the first AMF, and similarly, the connection feedback information 2 may further include: the location information a, the identity, the address information, and the port information corresponding to the second AMF, and the connection feedback information 3 may further include: the location information b, the identity, the address information, and the port information corresponding to the third AMF, and the connection feedback information 4 may further include: location information b, an identity corresponding to the fourth AMF, address information, and port information.
After each AMF generates the connection feedback information, the generated connection feedback information may be sent to the RAN, so that the RAN acquires the multiple pieces of connection feedback information, and then may establish a communication connection with each AMF based on the multiple pieces of connection feedback information, that is, the RAN may establish a communication connection with the first AMF based on the connection feedback information 1, and the RAN may establish a communication connection with the second AMF, the third AMF, and the fourth AMF based on the connection feedback information 2, the connection feedback information 3, and the connection feedback information 4, respectively, thereby effectively achieving that the RAN may not only establish a communication connection with each AMF, but also may obtain the location information corresponding to each AMF based on the connection process.
In the wireless communication method provided by this embodiment, the AMF generates the connection feedback information corresponding to the connection request by obtaining the connection request sent by the RAN of the radio access network device, where the connection feedback information includes the location information corresponding to the AMF, and then sends the connection feedback information to the RAN, so that the RAN establishes a communication connection with the AMF based on the connection feedback information, thereby effectively implementing that the RAN can establish a communication connection with each AMF, and can obtain the location information corresponding to each AMF based on the connection process, and then facilitate performing corresponding data processing operations on data based on the location information corresponding to each AMF, which is beneficial to improving the quality and efficiency of wireless communication performance, further improving the practicability of the wireless communication method, and facilitating popularization and application in the market.
Fig. 4 is a schematic flowchart of determining, by the AMF, location information corresponding to the AMF based on a connection establishment request according to an embodiment of the present application; referring to fig. 4, where the location information corresponding to the AMF may correspond to different identification granularities, when the location information corresponding to the AMF only includes the granularity of the area where the AMF is located, the embodiment provides an implementation manner for determining the location information corresponding to the AMF, and specifically, the determining, by the AMF in the embodiment, the location information corresponding to the AMF based on the connection establishment request may include:
step S401: and the AMF determines the area corresponding to the AMF based on the connection request.
Step S402: the AMF determines position information corresponding to the AMF based on the area, wherein the position information comprises an area identification corresponding to the area.
After the AMF obtains the connection request, the connection request may be analyzed to determine an area corresponding to the AMF, where the area corresponding to the AMF may include at least one of the following: east China, North China, Central China, south China, and so on. After the area corresponding to the AMF is acquired, the location information corresponding to the AMF may be determined based on the area corresponding to the AMF, and the location information may include an area identifier corresponding to the area, for example: the east china region may correspond to the designation "00", the north china region may correspond to the designation "01", the central china region may correspond to the designation "10", and the south china region may correspond to the designation "11".
It is understood that for a plurality of AMFs deployed separately, the AMFs may be distributed in the same area or in a plurality of different areas, it is understood that the AMFs located in the same area may correspond to the same area identifier, and the AMFs located in different areas may correspond to different area identifiers.
In this embodiment, the area corresponding to the AMF is determined based on the connection request, and then the location information corresponding to the AMF is determined based on the area, so that the area-level location information corresponding to the AMF is effectively obtained, and the accuracy and reliability of determining the location information are further ensured.
Fig. 5 is a schematic flowchart illustrating an AMF determining location information corresponding to the AMF based on a connection establishment request according to an embodiment of the present application; referring to fig. 5, since the location information corresponding to the AMF may include not only the granularity of the area where the AMF is located, but also the granularity of the data center in the area where the AMF is located, this embodiment provides another implementation manner for determining the location information corresponding to the AMF, and specifically, the determining, by the AMF, the location information corresponding to the AMF may include:
step S501: and the AMF determines a data center corresponding to the AMF in the area corresponding to the AMF.
Step S502: the AMF determines position information corresponding to the AMF based on the data center, wherein the position information comprises an area identification and a data center identification corresponding to the AMF.
After the AMF obtains the connection request, the connection request may be analyzed to determine an area corresponding to the AMF. After determining the area corresponding to the AMF, a data center corresponding to the AMF may be further determined in the area corresponding to the AMF. It is to be understood that one or more data centers may correspond to one region, and that different data centers may correspond to different data center identifications.
After the data center corresponding to the AMF is acquired, the location information corresponding to the AMF may be determined based on the data center corresponding to the AMF, where the location information includes: an area identification and a data center identification corresponding to the AMF. For example: when determining that the area corresponding to a certain AMF and the data center are the third data center in the northward area, the location information corresponding to the AMF may include: an area identifier "01" corresponding to the north china area and a data center identifier "c" corresponding to the third data center, that is, the location information at this time may include an identifier "01 c" for identifying the data center in the area where the AMF is located.
In this embodiment, after the area corresponding to the AMF is determined based on the connection request, the data center corresponding to the AMF is determined in the area corresponding to the AMF, and then the location information corresponding to the AMF is determined based on the data center, so that the data center-level location information corresponding to the AMF is effectively obtained, and the accuracy and reliability of determining the location information are further ensured.
Fig. 6 is a third schematic flowchart of determining, by the AMF, location information corresponding to the AMF based on the connection establishment request according to the embodiment of the present application; referring to fig. 6, since the location information corresponding to the AMF may include not only a data center granularity in an area where the AMF is located, but also an AMF pool granularity in the data center where the AMF is located, the embodiment provides another implementation manner for determining the location information corresponding to the AMF, and specifically, the determining, by the AMF, the location information corresponding to the AMF may include:
step S601: the AMF determines an AMF pool corresponding to the AMF in a data center corresponding to the AMF.
Step S602: and the AMF determines position information corresponding to the AMF based on the AMF pool, wherein the position information comprises an area identifier, a data center identifier and an AMF pool identifier corresponding to the AMF.
After the AMF obtains the connection request, the connection request may be analyzed to determine an area corresponding to the AMF, and after determining the area corresponding to the AMF, a data center corresponding to the AMF may be further determined in the area corresponding to the AMF. After determining the data center corresponding to the AMF, an AMF pool corresponding to the AMF may be further determined in the data center corresponding to the AMF. It is to be understood that one or more AMF pools may correspond in one data center, and different AMF pools may correspond to different AMF pool identifications.
After determining the AMF pool corresponding to the AMF, location information corresponding to the AMF may be determined based on the AMF pool, the location information including: an area identification, a data center identification, and an AMF pool identification corresponding to the AMF. For example: when it is determined that the area, the data center, and the AMF pool corresponding to a certain AMF are the fifth AMF pool in the third data center in the northward area, the location information corresponding to the AMF may include: the area identifier "01" corresponding to the north china area, the data center identifier "c" corresponding to the third data center, and the AMF pool identifier "5" corresponding to the fifth AMF pool, that is, the location information at this time may include an identifier "01 c 5" for identifying the area, the data center, and the AMF pool where the AMF is located.
In this embodiment, after the area and the data center corresponding to the AMF are determined based on the connection request, the AMF pool corresponding to the AMF is determined in the data center corresponding to the AMF, and then the location information corresponding to the AMF is determined based on the AMF pool, so that the AMF pool-level location information corresponding to the AMF is effectively obtained, and the accuracy and reliability of determining the location information are further ensured.
Fig. 7 is a flowchart illustrating a wireless communication method according to an embodiment of the present application; referring to fig. 7, the present embodiment provides a wireless communication method, and the execution subject of the method may be a radio access network device RAN. Specifically, the wireless communication method may include:
step S701: and acquiring data to be processed.
Step S702: location information corresponding to each of a plurality of core network access and mobility management functions, AMFs, communicatively connected to a radio access network device, RAN, is determined.
Step S703: and determining a target AMF corresponding to the data to be processed in the plurality of AMFs based on the position information corresponding to each of the plurality of AMFs.
Step S704: and sending the data to be processed to the target AMF for processing.
The above steps are explained in detail below:
step S701: and acquiring data to be processed.
When the terminal equipment has a data access requirement, the data to be processed can be sent to the radio access network equipment RAN, so that the RAN can stably acquire the data to be processed. After the RAN acquires the data to be processed, the RAN may provide the corresponding network resource to the user terminal through the AMF, so that the user terminal may perform corresponding data processing operation based on the provided network resource. It should be noted that the number of the to-be-processed data obtained by the RAN may be one or more, and it is understood that one or more to-be-processed data may be from one or more terminal devices.
Step S702: location information corresponding to each of a plurality of core network access and mobility management functions, AMFs, communicatively connected to a radio access network device, RAN, is determined.
After the data to be processed is acquired, in order to analyze and process the data to be processed, location information corresponding to each of a plurality of core network access and mobility management functions AMFs and a plurality of AMFs communicatively connected to the RAN may be determined, specifically, an AMF identifier communicatively connected to the RAN is stored in the RAN, and the plurality of AMFs communicatively connected to the RAN may be acquired through the AMF identifier. In addition, when the RAN establishes a communication connection with multiple AMFs, the AMFs may send location information corresponding to the AMFs to the RAN, so that the RAN can acquire the location information corresponding to each AMF.
Step S703: and determining a target AMF corresponding to the data to be processed in the plurality of AMFs based on the position information corresponding to each of the plurality of AMFs.
After the data to be processed and the location information corresponding to each of the multiple AMFs are acquired, the location information corresponding to each of the multiple AMFs may be analyzed to determine a target AMF corresponding to the data to be processed in the multiple AMFs. In some examples, determining, among the plurality of AMFs, a target AMF corresponding to the data to be processed based on the location information corresponding to each of the plurality of AMFs may include: determining distance information between each AMF and the RAN based on the position information corresponding to each AMF; and determining a target AMF corresponding to the data to be processed based on the distance information between each AMF and the RAN.
Specifically, after the location information corresponding to each of the multiple AMFs is obtained, the distance information between each AMF and the RAN may be determined based on the location information corresponding to each of the multiple AMFs, and it may be understood that different distance information may correspond to the AMFs and the RAN corresponding to different location information. After the distance information between each AMF and the RAN is acquired, the distance information between each AMF and the RAN can be analyzed and processed, and then the target AMF corresponding to the data to be processed can be determined based on the analysis and processing result, so that the accuracy and reliability of determining the target AMF used for analyzing and processing the data to be processed are effectively guaranteed.
Step S704: and sending the data to be processed to the target AMF for processing.
After determining the target AMF corresponding to the data to be processed, the data to be processed may be sent to the target AMF for processing to implement a corresponding data processing operation based on the target AMF.
In the wireless communication method provided by this embodiment, the to-be-processed data is obtained, the location information corresponding to each of the multiple core network access and mobility management functions AMF and the multiple AMFs communicatively connected to the RAN of the radio access network device is determined, then the target AMF corresponding to the to-be-processed data is determined in the multiple AMFs based on the location information corresponding to each of the multiple AMFs, and the to-be-processed data is sent to the target AMF for processing, so that a target AMF suitable for analyzing and processing the to-be-processed data is determined in the multiple AMFs based on the location information corresponding to each of the multiple AMFs, and then the to-be-processed data can be analyzed and processed by using the target AMF.
Fig. 8 is a schematic flowchart of determining a target AMF corresponding to data to be processed based on distance information between each AMF and a RAN according to an embodiment of the present application; referring to fig. 8, the present embodiment provides an implementation manner of determining a target AMF corresponding to data to be processed, and specifically, the determining the target AMF corresponding to the data to be processed based on the distance information between each AMF and the RAN in the present embodiment may include:
step S801: and acquiring at least one alternative AMF corresponding to the minimum distance information, or acquiring at least one alternative AMF corresponding to the maximum distance information.
Step S802: based on the at least one alternative AMF, a target AMF corresponding to the data to be processed is determined.
After obtaining the distance information between each AMF and the RAN, analyzing and comparing the distance information between each AMF and the RAN, and then obtaining at least one alternative AMF corresponding to the minimum distance information or at least one alternative AMF corresponding to the maximum distance information, specifically, in some application scenarios, obtaining at least one alternative AMF corresponding to the minimum distance information; or, in other application scenarios, at least one candidate AMF corresponding to the maximum distance information may be acquired.
After the at least one candidate AMF is obtained, the at least one candidate AMF may be analyzed to determine a target AMF corresponding to the data to be processed, and in some examples, a target AMF corresponding to the data to be processed may be randomly determined in the at least one candidate AMF. In other examples, determining the target AMF corresponding to the data to be processed based on the at least one alternative AMF may include: acquiring flow processing characteristics corresponding to at least one alternative AMF; and determining a target AMF corresponding to the data to be processed in the at least one alternative AMF based on the traffic processing characteristics.
Specifically, after at least one candidate AMF is obtained, each candidate AMF may be analyzed to determine a traffic processing characteristic corresponding to data to be processed, where the traffic processing characteristic may include at least one of the following: the data processing flow is used for identifying the data quantity which needs to be analyzed and processed by the AMF, and the larger the data processing flow is, the larger the data quantity which needs to be analyzed and processed by the AMF is; the smaller the data processing flow is, the smaller the amount of data that the AMF needs to perform analysis processing is. The data processing resources are used for identifying the number of resources used for data processing operation in the AMF, and the higher the data processing resources are, the more resource information used for realizing the data processing operation exists in the AMF; the lower the data processing resources, the less resource information exists in the AMF for implementing the data processing operation.
After the traffic processing characteristics are obtained, analysis processing may be performed on the traffic processing characteristics to determine a target AMF corresponding to the data to be processed in the at least one candidate AMF. In some examples, determining, in the at least one alternative AMF, a target AMF corresponding to the data to be processed based on the traffic processing characteristics may include: and when the traffic processing characteristics comprise data processing traffic, determining the candidate AMF corresponding to the minimum data processing traffic in the at least one candidate AMF as the target AMF corresponding to the data to be processed.
When the traffic processing characteristics include data processing traffic, after the traffic processing characteristics corresponding to each of the at least one candidate AMF are acquired, the candidate AMF corresponding to the minimum data processing traffic in the at least one candidate AMF may be determined as the target AMF corresponding to the data to be processed, so that the quality and efficiency of analyzing and processing the data to be processed based on the target AMF may be ensured.
For example, after acquiring the data to be processed, the determined at least one alternative AMF having the minimum distance information to the RAN may include: in order to improve the quality and efficiency of analyzing and processing the data to be processed, the first candidate AMF, the second candidate AMF, the third AMF, and the fourth AMF may determine the data processing flow corresponding to each candidate AMF, for example: the data processing flow of the first candidate AMF is P1, the data processing flow of the second candidate AMF is P2, the data processing flow of the third candidate AMF is P3, the data processing flow of the fourth candidate AMF is P4, and the sizes of the data processing flows are as follows: p2< P3< P1< P4.
After the data processing flows corresponding to the candidate AMFs are obtained, the candidate AMF corresponding to the minimum data processing flow in the at least one candidate AMF may be determined as the target AMF corresponding to the data to be processed, that is, the second candidate AMF corresponding to the data processing flow P2 may be determined as the target AMF, and then the target AMF may be used to perform corresponding data processing operations, so that the data processing amounts corresponding to the candidate AMFs may be balanced, and the quality and efficiency of analyzing and processing the data to be processed based on the target AMF are further ensured.
In other examples, determining, in the at least one alternative AMF, a target AMF corresponding to the data to be processed based on the traffic processing characteristics may include: and when the traffic processing characteristics comprise data processing resources, determining the candidate AMF corresponding to the maximum data processing resource in the at least one candidate AMF as the target AMF corresponding to the data to be processed.
When the data processing resources include data processing resources, after the traffic processing features corresponding to the at least one candidate AMF are acquired, the candidate AMF corresponding to the largest data processing resource in the at least one candidate AMF may be determined as the target AMF corresponding to the data to be processed, so that the quality and efficiency of analyzing and processing the data to be processed based on the target AMF may be ensured.
For example, after acquiring the data to be processed, the determined at least one alternative AMF having the minimum distance information to the RAN may include: in order to improve the quality and efficiency of analyzing and processing the data to be processed, the first candidate AMF, the second candidate AMF, the third AMF, and the fourth AMF may determine data processing resources corresponding to the candidate AMFs, for example: the data processing resource of the first candidate AMF is M1, the data processing resource of the second candidate AMF is M2, the data processing resource of the third candidate AMF is M3, the data processing resource of the fourth candidate AMF is M4, and the size between the data processing resources is: m1< M2< M3< M4.
After the data processing resources corresponding to the candidate AMFs are obtained, the candidate AMF corresponding to the largest data processing resource in the at least one candidate AMF may be determined as the target AMF corresponding to the data to be processed, that is, the fourth candidate AMF corresponding to the data processing resource M4 may be determined as the target AMF, so that the quality and efficiency of analyzing and processing the data to be processed based on the target AMF may be effectively ensured.
In particular application, referring to fig. 9, an implementation of the present application provides a wireless communication method, where an execution subject of the wireless communication method may be a wireless communication system, and the wireless communication system may include one or more RANs and one or more AMFs, where the one or more AMFs are communicatively connected to the one or more RANs, and in particular, the wireless communication method may include the following steps:
step 1: one or more RANs (RAN 1, RAN2, RAN3, RAN10, RAN20, RAN 30) and one or more AMFs (AMF 1, AMF2, and AMF 3) are configured separately, and after configuration is completed, the AMFs may determine location information corresponding to the AMFs and store the location information corresponding to the AMFs in the AMFs.
When the AMF clusters are deployed in each region across regions, the AMF clusters in different regions may correspond to different pieces of location information, for example, the location information corresponding to the AFM1 may be location information 1, and the AMF2 may correspond to location information 2; the location information corresponding to the AMF is used to identify an actual deployment location of the AMF in the network architecture, and specifically, the location information corresponding to the AMF may include: the region identification (Regional ID), the data center identification (DC ID) and the AMF Pool identification (Pool ID) corresponding to the AMF.
Step 2: the RAN may generate a connection request and send the connection request to the respective AMFs.
And step 3: after obtaining the connection establishment request, the AMF may determine location information corresponding to the AMF, generate connection establishment feedback information corresponding to the connection establishment request based on the location information, where the connection establishment feedback information includes the location information corresponding to the AMF, and send the connection establishment feedback information to the RAN.
And 4, step 4: after the RAN acquires the connection establishing feedback information, the RAN establishes communication connection with the AMF based on the connection establishing feedback information, so that the RAN can obtain the position information corresponding to at least one AMF in the process of establishing communication connection with the at least one AMF.
Specifically, through the above interworking operations, RAN1, RAN2, RAN3, RAN10, RAN20, and RAN30 may establish connections with AMF1, AMF2, and AMF3, respectively, so that a fully connected wireless communication architecture is implemented.
In addition, after the RAN establishes a communication connection with each AMF, a corresponding data processing operation may be performed based on the location information sent by the AMF, specifically, the RAN may select a more suitable AMF network element access point based on the location information corresponding to each AMF to implement signaling path and delay lifting, and may also perform a scheduling operation on data that needs to be processed by the AMF according to the data processing traffic of a particular time period, and specifically, the implementation process of selecting a more preferred AMF network element access point may include the following steps:
step 11: and acquiring data to be processed.
Step 12: location information corresponding to each of a plurality of core network access and mobility management functions, AMFs, communicatively connected to a radio access network device, RAN, is determined.
Step 13: and acquiring at least one alternative AMF corresponding to the minimum distance information from the plurality of AMFs.
Step 14: and acquiring data processing flow corresponding to at least one alternative AMF, and determining the alternative AMF corresponding to the minimum data processing flow in the at least one alternative AMF as a target AMF corresponding to the data to be processed.
The RAN may obtain the location information corresponding to each AMF, and then may select a target AMF based on the location information of each candidate AMF, so that the RAN may select the target AMF as needed, for example: higher service resources can be provided for VIP users through the target AMF so as to improve the data processing speed, thus not only ensuring the utilization rate of the data resources corresponding to the AMF, but also ensuring the quality and the efficiency of data processing operation.
Step 15: and sending the data to be processed to the target AMF for processing.
In addition, the scheduling operation of the data that needs to be processed by the AMF according to the data processing traffic of the specific time period may include the following steps:
step 111: and acquiring data to be processed.
Step 112: location information corresponding to each of a plurality of core network access and mobility management functions, AMFs, communicatively connected to a radio access network device, RAN, is determined.
Step 113: and acquiring at least one alternative AMF corresponding to the maximum distance information from the plurality of AMFs.
Step 114: and acquiring data processing resources corresponding to the at least one alternative AMF, and determining the alternative AMF corresponding to the maximum data processing resource in the at least one alternative AMF as a target AMF corresponding to the data to be processed.
Step 115: and sending the data to be processed to the target AMF for processing.
For example, for the data to be processed in the area a, at a certain holiday, the data to be processed in a certain area may significantly change, such as: in the eleventh vacation, the data to be processed in the area a may be changed from more data to less data, or may also be changed from less data to more data. When the data to be processed in the area a is changed from a small number of data to a large number of data, in order to ensure data processing operation, at least one alternative AMF may be obtained, where the at least one alternative AMF may be an AMF having a large distance from the area a, and then data processing resources corresponding to each alternative AMF may be determined, and an alternative AMF corresponding to a maximum data processing resource in the at least one alternative AMF is determined as a target AMF corresponding to the data to be processed, and then the data to be processed may be analyzed and processed by using the target AMF, so that short-time change of signaling load may be flexibly and reliably processed based on the location information corresponding to each AMF may be effectively achieved, and data processing quality and efficiency are further improved.
The technical scheme provided by the embodiment effectively realizes that when the AMF establishes the NGAP connection with the RAN, the AMF can issue the position information carrying the AMF in the connection feedback information to the RAN, and the interaction process can meet the 3GPP 38.413 standard, so that the RAN can establish communication connection with each AMF based on the connection feedback information, can also acquire the position information of each AMF, and selects a proper target AMF to perform corresponding data processing operation based on the position information of the AMF, thereby being beneficial to improving the quality and efficiency of data processing, and further improving the practicability of the data processing method.
Fig. 10 is a schematic structural diagram of a core network access and mobility management function AMF according to an embodiment of the present application; referring to fig. 10, the present embodiment provides a core network access and mobility management function AMF, where the core network access and mobility management function AMF is configured to perform the wireless communication method shown in fig. 2, and specifically, the core network access and mobility management function AMF may include: the first acquiring module 11, the first generating module 12 and the first processing module 13 specifically:
a first obtaining module 11, configured to obtain a connection establishment request sent by a radio access network device RAN;
a first generating module 12, configured to generate connection feedback information corresponding to the connection request, where the connection feedback information includes location information corresponding to the AMF;
and the first processing module 13 is configured to send the connection feedback information to the RAN, so that the RAN establishes a communication connection with the AMF based on the connection feedback information.
In some examples, when the first generation module 12 generates the connection feedback information corresponding to the connection request, the first generation module 12 is configured to perform: determining location information corresponding to the AMF based on the connection request; and generating connection feedback information corresponding to the connection request based on the position information.
In some examples, when the first generation module 12 determines the location information corresponding to the AMF based on the connection request, the first generation module 12 is to perform: determining an area corresponding to the AMF based on the connection request; based on the area, position information corresponding to the AMF is determined, and the position information comprises an area identification corresponding to the area.
In some examples, when the first generation module 12 determines location information corresponding to the AMF based on the region, the first generation module 12 is to perform: determining a data center corresponding to the AMF in the area corresponding to the AMF; and determining position information corresponding to the AMF based on the data center, wherein the position information comprises an area identification and a data center identification corresponding to the AMF.
In some examples, when the first generation module 12 determines the location information corresponding to the AMF based on the data center, the first generation module 12 is to perform: determining, in a data center corresponding to the AMF, an AMF pool corresponding to the AMF; and determining position information corresponding to the AMF based on the AMF pool, wherein the position information comprises an area identifier, a data center identifier and an AMF pool identifier corresponding to the AMF.
The AMF shown in fig. 10 may perform the method of the embodiment shown in fig. 1-6, and the detailed description of this embodiment may refer to the related description of the embodiment shown in fig. 1-6. The implementation process and technical effect of the technical solution refer to the descriptions in the embodiments shown in fig. 1 to 6, and are not described herein again.
In one possible design, the architecture of the core network access and mobility management function AMF shown in fig. 10 may be implemented as an electronic device. As shown in fig. 11, the electronic device may include: a first processor 21 and a first memory 22. Wherein the first memory 22 is used for storing programs for the corresponding electronic device to execute the wireless communication method provided in the embodiments shown in fig. 1-6, and the first processor 21 is configured to execute the programs stored in the first memory 22.
The program comprises one or more computer instructions, wherein the one or more computer instructions, when executed by the first processor 21, are capable of performing the steps of: a core network access and mobility management function (AMF) acquires a connection establishment request sent by radio access network equipment (RAN); the AMF generates connection feedback information corresponding to the connection request, wherein the connection feedback information comprises position information corresponding to the AMF; the AMF sends the connection feedback information to the RAN so that the RAN establishes communication connection with the AMF based on the connection feedback information.
Further, the first processor 21 is also used to execute all or part of the steps in the embodiments shown in fig. 1-6.
The electronic device may further include a first communication interface 23 for communicating with other devices or a communication network.
In addition, the embodiment of the present invention provides a computer storage medium for storing computer software instructions for an electronic device, which includes a program for executing the wireless communication method in the method embodiments shown in fig. 1 to 6.
Furthermore, an embodiment of the present invention provides a computer program product, including: a computer-readable storage medium storing computer instructions that, when executed by one or more processors, cause the one or more processors to perform the steps in the wireless communication method in the method embodiments of fig. 1-6 described above.
Fig. 12 is a schematic structural diagram of a radio access network device RAN according to an embodiment of the present application; referring to fig. 12, the present embodiment provides a radio access network device RAN, configured to perform the above-described wireless communication method shown in fig. 7, and specifically, the radio access network device RAN may include: the second obtaining module 31, the second determining module 32, the second processing module 33, and the second sending module 34 specifically:
a second obtaining module 31, configured to obtain data to be processed;
a second determining module 32, configured to determine location information corresponding to each of a plurality of core network access and mobility management functions, AMFs, communicatively connected to the radio access network device RAN and a plurality of AMFs;
a second processing module 33, configured to determine, based on location information corresponding to each of the plurality of AMFs, a target AMF corresponding to the data to be processed among the plurality of AMFs;
and a second sending module 34, configured to send the data to be processed to the target AMF for processing.
In some examples, when the second processing module 33 determines the target AMF corresponding to the data to be processed among the plurality of AMFs based on the location information corresponding to each of the plurality of AMFs, the second processing module 33 is configured to perform: determining distance information between each AMF and the RAN based on the position information corresponding to each AMF; and determining a target AMF corresponding to the data to be processed based on the distance information between each AMF and the RAN.
In some examples, when the second processing module 33 determines the target AMF corresponding to the data to be processed based on the distance information between each AMF and the RAN, the second processing module 33 is configured to perform: obtaining at least one alternative AMF corresponding to the minimum distance information, or obtaining at least one alternative AMF corresponding to the maximum distance information; based on the at least one alternative AMF, a target AMF corresponding to the data to be processed is determined.
In some examples, when the second processing module 33 determines the target AMF corresponding to the data to be processed based on the at least one alternative AMF, the second processing module 33 is configured to perform: acquiring flow processing characteristics corresponding to at least one alternative AMF; and determining a target AMF corresponding to the data to be processed in the at least one alternative AMF based on the traffic processing characteristics.
In some examples, when the second processing module 33 determines the target AMF corresponding to the data to be processed in the at least one alternative AMF based on the traffic processing characteristics, the second processing module 33 is configured to perform: and when the traffic processing characteristics comprise data processing traffic, determining the candidate AMF corresponding to the minimum data processing traffic in the at least one candidate AMF as the target AMF corresponding to the data to be processed.
In some examples, when the second processing module 33 determines the target AMF corresponding to the data to be processed in the at least one alternative AMF based on the traffic processing characteristics, the second processing module 33 is configured to perform: and when the traffic processing characteristics comprise data processing resources, determining the candidate AMF corresponding to the maximum data processing resource in the at least one candidate AMF as the target AMF corresponding to the data to be processed.
The radio access network device RAN shown in fig. 12 may perform the method of the embodiment shown in fig. 7 to 9, and parts not described in detail in this embodiment may refer to the relevant description of the embodiment shown in fig. 7 to 9. The implementation process and technical effect of the technical solution are described in the embodiments shown in fig. 7 to 9, and are not described herein again.
In one possible design, the architecture of the radio access network device RAN shown in fig. 12 may be implemented as an electronic device. As shown in fig. 13, the electronic device may include: a second processor 41 and a second memory 42. Wherein the second memory 42 is used for storing programs for the corresponding electronic device to execute the wireless communication method provided in the embodiments shown in fig. 7-9, and the second processor 41 is configured for executing the programs stored in the second memory 42.
The program comprises one or more computer instructions, wherein the one or more computer instructions, when executed by the second processor 41, are capable of performing the steps of: acquiring data to be processed; determining position information corresponding to a plurality of core network access and mobility management functions (AMFs) and a plurality of AMFs which are in communication connection with radio access network equipment (RAN); determining a target AMF corresponding to the data to be processed in the plurality of AMFs based on the position information corresponding to each of the plurality of AMFs; and sending the data to be processed to the target AMF for processing.
Further, the second processor 41 is also used to execute all or part of the steps in the embodiments shown in fig. 7-9.
The electronic device may further include a second communication interface 43 for communicating with other devices or a communication network.
In addition, the embodiment of the present invention provides a computer storage medium for storing computer software instructions for an electronic device, which includes a program for executing the wireless communication method in the method embodiments shown in fig. 7 to 9.
Furthermore, an embodiment of the present invention provides a computer program product, including: a computer-readable storage medium storing computer instructions that, when executed by one or more processors, cause the one or more processors to perform the steps in the wireless communication method in the method embodiments described above in fig. 7-9.
Fig. 14 is a schematic flowchart of a method for processing live data according to an embodiment of the present application; referring to fig. 14, in this embodiment, an execution main body of the live data processing method may be a live data processing apparatus, and when the live data processing apparatus is implemented specifically, the live data processing apparatus may be implemented as a radio access network device RAN, and specifically, the live data processing method may include:
step S1401: and acquiring data to be live broadcasted.
Step S1402: location information corresponding to each of a plurality of core network access and mobility management functions, AMFs, communicatively connected to a radio access network device, RAN, is determined.
Step S1403: and determining a target AMF corresponding to the data to be live broadcast in the plurality of AMFs based on the position information corresponding to the AMFs respectively.
Step S1404: and sending the data to be live broadcast to the target AMF for processing so as to realize live broadcast operation.
In a live broadcast scene, live broadcast data is often transmitted to a preset network or a live broadcast service platform by a live broadcast end, and then distribution operation of the live broadcast data is performed through the preset network or the live broadcast service platform. Specifically, the live broadcast end may send live broadcast data to a preset network through the RAN, so as to obtain data resources for implementing live broadcast operation through the preset network. The playing end can request the live broadcast data from the preset network or the live broadcast service platform through the radio access network device RAN, so that the preset network or the live broadcast service platform can distribute the live broadcast data to the corresponding playing end, and then the corresponding live broadcast data are played on the playing end. It should be noted that live scenes include, but are not limited to: remote education, live courses, telemedicine and the like in an education scene, and data to be live in different live scenes can have different functional functions.
Based on the above statements, the data to be live broadcast in this embodiment may refer to live broadcast data sent by a live broadcast end or may be live broadcast data requested to be played by a play end, so that a processing device of the live broadcast data may stably acquire the data to be live broadcast, where the data to be live broadcast may include video data, audio data, and the like.
In addition, the specific implementation manner and implementation effect of steps S1402 to S1404 in this embodiment are similar to those of steps S702 to S704 in the foregoing embodiment, and the above statements may be specifically referred to, and are not repeated herein.
In some examples, determining, based on location information corresponding to each of a plurality of AMFs, a target AMF among the plurality of AMFs corresponding to data to be live may include: determining distance information between each AMF and the RAN based on the position information corresponding to each AMF; and determining the target AMF corresponding to the data to be live broadcast based on the distance information between each AMF and the RAN.
The method in this embodiment may further include the method in the embodiment shown in fig. 8 to 9, and reference may be made to the related description of the embodiment shown in fig. 8 to 9 for a part not described in detail in this embodiment. The implementation process and technical effect of the technical solution refer to the descriptions in the embodiments shown in fig. 8 to 9, and are not described herein again.
According to the processing method of the live broadcast data, the data to be live broadcast is obtained, the position information corresponding to the multiple core network access and mobility management functions AMF and the multiple AMFs which are in communication connection with the Radio Access Network (RAN) is determined, then the target AMF corresponding to the data to be live broadcast is determined in the multiple AMFs based on the position information corresponding to the multiple AMFs, and the data to be live broadcast is sent to the target AMF to be processed, so that the method effectively realizes that the appropriate target AMF can be selected from the multiple AMFs to complete the corresponding live broadcast operation, is beneficial to improving the quality and efficiency of wireless transmission of the data in a live broadcast scene, further guarantees the practicability of the processing method of the live broadcast data, and is beneficial to market popularization and application.
Fig. 15 is a schematic structural diagram of a device for processing live data according to an embodiment of the present application; referring to fig. 15, the present embodiment provides a processing apparatus of live data, where the processing apparatus of live data may execute the processing method of live data shown in fig. 14, and specifically, the processing apparatus of live data may include:
a third obtaining module 51, configured to obtain data to be live broadcast;
a third determining module 52, configured to determine location information corresponding to each of a plurality of core network access and mobility management functions AMFs communicatively connected to the radio access network device RAN and a plurality of AMFs;
a third processing module 53, configured to determine, based on location information corresponding to each of the multiple AMFs, a target AMF corresponding to the data to be live broadcast in the multiple AMFs;
and a third sending module 54, configured to send the data to be live broadcast to the target AMF for processing, so as to implement live broadcast operation.
In some examples, when the third processing module 53 determines, based on the location information corresponding to each of the plurality of AMFs, a target AMF corresponding to the data to be live broadcast among the plurality of AMFs, the third processing module 53 is configured to perform: determining distance information between each AMF and the RAN based on the position information corresponding to each AMF; and determining a target AMF corresponding to the data to be live broadcast based on the distance information between each AMF and the RAN.
The processing device for live data shown in fig. 15 can execute the method of the embodiment shown in fig. 14, and reference may be made to the related description of the embodiment shown in fig. 14 for a part not described in detail in this embodiment. The implementation process and technical effect of this technical solution are described in the embodiment shown in fig. 14, and are not described herein again.
In one possible design, the structure of the processing apparatus for live data shown in fig. 15 may be implemented as an electronic device. As shown in fig. 16, the electronic device may include: a third processor 61 and a third memory 62. Wherein the third memory 62 is used for storing a program of the corresponding electronic device for executing the processing method of the live data provided in the embodiment shown in fig. 14, and the third processor 61 is configured for executing the program stored in the third memory 62.
The program comprises one or more computer instructions, wherein the one or more computer instructions, when executed by the third processor 61, are capable of performing the steps of: acquiring data to be live broadcast; determining position information corresponding to a plurality of core network access and mobility management functions (AMFs) and a plurality of AMFs which are in communication connection with radio access network equipment (RAN); determining a target AMF corresponding to data to be live broadcast in the plurality of AMFs based on the position information corresponding to the plurality of AMFs respectively; and sending the data to be live broadcast to a target AMF for processing so as to realize live broadcast operation.
Further, the third processor 61 is also used for executing all or part of the steps in the embodiment shown in fig. 14.
The electronic device may further include a third communication interface 63 for communicating with other devices or a communication network.
In addition, an embodiment of the present invention provides a computer storage medium for storing computer software instructions for an electronic device, which includes a program for executing the processing method of live data in the method embodiment shown in fig. 14.
Furthermore, an embodiment of the present invention provides a computer program product, including: a computer-readable storage medium storing computer instructions which, when executed by one or more processors, cause the one or more processors to perform the steps in the method for processing live data in the embodiment of the method shown in fig. 14 described above.
Fig. 17 is a schematic flowchart of an automatic driving control method according to an embodiment of the present application; referring to fig. 17, in this embodiment, an execution subject of the processing method may be an automatic driving control apparatus, and when the execution subject is specifically implemented, the automatic driving control apparatus may be implemented as a radio access network device RAN, and specifically, the automatic driving control method may include:
step S1701: operational state data corresponding to the vehicle is acquired.
During the operation of the vehicle, a sensor may be provided on the vehicle, and the operation state data corresponding to the vehicle may be acquired by the sensor, and the operation state data corresponding to the vehicle may include at least one of: the vehicle driving method comprises the steps of obtaining the current vehicle speed, the driving direction and the environment information of a vehicle, wherein the environment information comprises the distribution position of surrounding objects, the vehicle speed of the vehicle in front of the vehicle and the road speed limit of the road where the vehicle is located. In some examples, the sensors may include an image capture sensor, a radar sensor, and a global positioning system GPS, and in particular, the operating condition data corresponding to the vehicle may be determined by the image capture sensor, the radar sensor, and the global positioning system GPS.
Step 1702: location information corresponding to each of a plurality of core network access and mobility management functions, AMFs, communicatively connected to a radio access network device, RAN, is determined.
Step S1703: determining a target AMF corresponding to the operation state data among the plurality of AMFs based on the position information corresponding to each of the plurality of AMFs.
In addition, the specific implementation manner and implementation effect of step S1702-step S1703 in this embodiment are similar to those of step S702-step S703 in the foregoing embodiment, and the above statements may be specifically referred to, and are not repeated herein.
Step S1704: and sending the running state data to the target AMF for processing to obtain driving path planning information corresponding to the running state data.
After the operation state data and the target AMF are obtained, the operation state data can be sent to the target AMF for processing, so that driving path planning information corresponding to the operation state data can be obtained. Wherein a machine learning model for analyzing the operation state data is pre-configured, the machine learning model being trained for determining driving path planning information corresponding to the vehicle. After the operating state data is acquired, the operating state data may be input to a machine learning model, so that driving path planning information corresponding to the operating state data may be obtained.
Step S1705: and controlling the vehicle based on the driving path planning information.
After the driving path planning information is acquired, the vehicle can be controlled based on the driving path planning information, so that automatic driving control operation of the vehicle is effectively realized. It should be noted that, for the automatic driving control device, the automatic driving control device may be provided on the vehicle, or the automatic driving control device may be provided independently of the vehicle, in which case the automatic driving control device may be communicatively connected to the vehicle CPU.
In addition, for the automatic driving control device, the automatic driving control device can be adjusted according to different vehicles, that is, algorithm modules included in the automatic driving control device are different according to different types of vehicles, and at this time, the automatic driving control device can not only realize control operation of automatic driving of the vehicle, but also realize other operations. For example, different autonomous driving control devices may be involved for a logistics vehicle, a public service vehicle, a medical service vehicle, and a terminal service vehicle. Algorithm modules included in the automatic driving control apparatus are exemplified below for the four types of automatic driving vehicles, respectively:
wherein, the logistics vehicle refers to the vehicle that uses in the logistics scene, for example: the logistics vehicle with the automatic sorting function, the refrigeration and heat preservation function and the measurement function can be used. These logistics vehicles may involve different algorithm modules.
For example, the logistics vehicles can be provided with an automatic sorting device, and the automatic sorting device can automatically take out, convey, sort and store the goods after the logistics vehicles reach the destination. This relates to an algorithm module for goods sorting, which mainly implements logic control of goods taking out, carrying, sorting, storing and the like.
For another example, in a cold chain logistics scenario, the logistics vehicle may further include a refrigeration and insulation device, and the refrigeration and insulation device may implement refrigeration or insulation of transported fruits, vegetables, aquatic products, frozen foods, and other perishable foods, so that the transportation environment is in a proper temperature environment, and the long-distance transportation problem of perishable foods is solved. The algorithm module is mainly used for dynamically and adaptively calculating the proper temperature of cold meal or heat preservation according to the information such as the property, the perishability, the transportation time, the current season, the climate and the like of food (or articles), and automatically adjusting the cold-storage heat preservation device according to the proper temperature, so that a transport worker does not need to manually adjust the temperature when the vehicle transports different foods or articles, the transport worker is liberated from the complicated temperature regulation and control, and the efficiency of cold-storage heat preservation transportation is improved.
For another example, in most logistics scenarios, the fee is charged according to the volume and/or weight of the parcel, but the number of logistics parcels is very large, and the measurement of the volume and/or weight of the parcel by a courier is only dependent, which is very inefficient and has high labor cost. Therefore, in some logistics vehicles, a measuring device is added, so that the volume and/or the weight of the logistics packages can be automatically measured, and the cost of the logistics packages can be calculated. This relates to an algorithm module for logistics package measurement, which is mainly used to identify the type of logistics package, determine the measurement mode of logistics package, such as volume measurement or weight measurement or combined measurement of volume and weight, and can complete the measurement of volume and/or weight according to the determined measurement mode and complete the cost calculation according to the measurement result.
The public service vehicle refers to a vehicle providing some public service, for example: can be a fire truck, an ice removing vehicle, a watering cart, a snow shoveling vehicle, a garbage disposal vehicle, a traffic guidance vehicle and the like. These public service vehicles may involve different algorithm modules.
For example, in the case of an automatically driven fire fighting vehicle, the main task is to perform a reasonable fire fighting task on the fire scene, which involves an algorithm module for the fire fighting task, which at least needs to implement logic such as identification of the fire situation, planning of the fire fighting scheme, and automatic control of the fire fighting device.
For another example, for an ice removing vehicle, the main task is to remove ice and snow on the road surface, which involves an algorithm module for ice removal, the algorithm module at least needs to realize the recognition of the ice and snow condition on the road surface, formulate an ice removal scheme according to the ice and snow condition, such as which road sections need to be deiced, which road sections need not to be deiced, whether a salt spreading manner, the salt spreading gram number, and the like are adopted, and the logic of automatic control of a deicing device under the condition of determining the ice removal scheme.
The medical service vehicle is an automatic driving vehicle capable of providing one or more medical services, the vehicle can provide medical services such as disinfection, temperature measurement, dispensing and isolation, and the algorithm modules relate to algorithm modules for providing various self-service medical services.
The terminal service vehicle is a self-service automatic driving vehicle which can replace some terminal devices and provide certain convenient service for users, and for example, the vehicles can provide services such as printing, attendance checking, scanning, unlocking, payment and retail for the users.
For example, in some application scenarios, a user often needs to go to a specific location to print or scan a document, which is time consuming and labor intensive. Therefore, a terminal service vehicle capable of providing printing/scanning service for a user appears, the service vehicles can be interconnected with user terminal equipment, the user sends a printing instruction through the terminal equipment, the service vehicle responds to the printing instruction, documents required by the user are automatically printed, the printed documents can be automatically sent to the position of the user, the user does not need to queue at a printer, and the printing efficiency can be greatly improved. Or, the scanning instruction sent by the user through the terminal equipment can be responded, the scanning vehicle is moved to the position of the user, the user places the document to be scanned on the scanning tool of the service vehicle to complete scanning, queuing at the printer/scanner is not needed, and time and labor are saved. This involves an algorithm module providing print/scan services that needs to identify at least the interconnection with the user terminal equipment, the response to print/scan instructions, the positioning of the user's location, and travel control.
For another example, as new retail scenes are developed, more and more electronic stores sell goods to large office buildings and public areas by means of self-service vending machines, but the self-service vending machines are placed at fixed positions and are not movable, and users need to go by the self-service vending machines to purchase needed goods, so that the convenience is poor. Therefore, self-service driving vehicles capable of providing retail services appear, the service vehicles can carry commodities to move automatically and can provide corresponding self-service shopping APP or shopping entrances, a user can place an order for the self-service driving vehicles providing retail services through the APP or shopping entrances by means of a terminal such as a mobile phone, the order comprises names and numbers of commodities to be purchased, and after the vehicle receives an order placement request, whether the current remaining commodities have the commodities purchased by the user and whether the quantity is sufficient can be determined. This involves algorithm modules that provide retail services that implement logic primarily to respond to customer order requests, order processing, merchandise information maintenance, customer location, payment management, etc.
It should be noted that the method in this embodiment may also include the method in the embodiment shown in fig. 8 to 9, and for the part not described in detail in this embodiment, reference may be made to the relevant description of the embodiment shown in fig. 8 to 9. The implementation process and technical effect of the technical solution refer to the descriptions in the embodiments shown in fig. 8 to 9, and are not described herein again.
In the automatic driving control method provided by this embodiment, by acquiring the operating state data corresponding to the vehicle, the location information corresponding to each of the plurality of core network access and mobility management functions AMF and the plurality of AMF communicatively connected to the radio access network device RAN is determined; then determining a target AMF corresponding to the operation state data in the plurality of AMFs based on the position information corresponding to each of the plurality of AMFs; sending the running state data to the target AMF for processing to obtain driving path planning information corresponding to the running state data; therefore, the vehicle can be controlled based on the driving path planning information, and the control operation of the automatic driving vehicle can be effectively completed by selecting a more appropriate target AMF from a plurality of AMFs, so that the stability and the reliability of controlling the automatic driving vehicle are improved, and the popularization and the application of the market are facilitated.
Fig. 18 is a schematic structural diagram of an automatic driving control device according to an embodiment of the present application; referring to fig. 18, the present embodiment provides an automatic driving control apparatus that may perform the automatic driving control method shown in fig. 17 described above, and specifically, the automatic driving control apparatus may include:
and a fourth obtaining module 71, configured to obtain the operating state data corresponding to the vehicle.
A fourth determining module 72 is configured to determine location information corresponding to each of a plurality of core network access and mobility management functions, AMFs, communicatively connected to the radio access network device, RAN.
A fourth processing module 73, configured to determine, based on the location information corresponding to each of the plurality of AMFs, a target AMF corresponding to the operation state data among the plurality of AMFs.
A fourth sending module 74, configured to send the operation state data to the target AMF for processing, so as to obtain driving path planning information corresponding to the operation state data.
And a fourth control module 75 for controlling the vehicle based on the driving path planning information.
The method of the embodiment shown in fig. 17 may be performed by the automatic driving control device shown in fig. 18, and reference may be made to the related description of the embodiment shown in fig. 17 for a part of the embodiment that is not described in detail. The implementation process and technical effect of this technical solution are described in the embodiment shown in fig. 17, and are not described herein again.
In one possible design, the configuration of the autopilot control apparatus shown in FIG. 18 may be implemented as an electronic device. As shown in fig. 19, the electronic device may include: a fourth processor 81 and a fourth memory 82. Wherein the fourth memory 82 is used for storing a program for the corresponding electronic device to execute the automatic driving control method provided in the embodiment shown in fig. 17, and the fourth processor 81 is configured to execute the program stored in the fourth memory 82.
The program comprises one or more computer instructions, wherein the one or more computer instructions, when executed by the fourth processor 81, enable the following steps to be performed: acquiring running state data corresponding to a vehicle; determining position information corresponding to a plurality of core network access and mobility management functions (AMFs) and a plurality of AMFs which are in communication connection with radio access network equipment (RAN); determining a target AMF corresponding to the operation state data in the plurality of AMFs based on the position information corresponding to each of the plurality of AMFs; sending the running state data to the target AMF for processing to obtain driving path planning information corresponding to the running state data; and controlling the vehicle based on the driving path planning information.
Further, the fourth processor 81 is also used for executing all or part of the steps in the embodiment shown in fig. 17.
The electronic device may further include a fourth communication interface 83, which is used for the electronic device to communicate with other devices or a communication network.
In addition, an embodiment of the present invention provides a computer storage medium for storing computer software instructions for an electronic device, which includes a program for executing the automatic driving control method in the embodiment of the method shown in fig. 17.
Furthermore, an embodiment of the present invention provides a computer program product, including: a computer readable storage medium having stored thereon computer instructions, which when executed by one or more processors, cause the one or more processors to perform the steps of the autopilot control method in the embodiment of the method illustrated in fig. 17 described above.
The above-described embodiments of the apparatus are merely illustrative, and the units described as separate parts may or may not be physically separate, and the parts displayed as units may or may not be physical units, may be located in one place, or may be distributed on a plurality of network units. Some or all of the modules may be selected according to actual needs to achieve the purpose of the solution of the present embodiment. One of ordinary skill in the art can understand and implement it without inventive effort.
Through the above description of the embodiments, those skilled in the art will clearly understand that each embodiment can be implemented by adding a necessary general hardware platform, and of course, can also be implemented by a combination of hardware and software. With this understanding in mind, the above-described technical solutions and/or portions thereof that contribute to the prior art may be embodied in the form of a computer program product, which may be embodied on one or more computer-usable storage media having computer-usable program code embodied therein (including but not limited to disk storage, CD-ROM, optical storage, etc.).
The present application is described with reference to flowchart illustrations and/or block diagrams of methods, apparatus (systems), and computer program products according to embodiments of the application. It will be understood that each flow and/or block of the flow diagrams and/or block diagrams, and combinations of flows and/or blocks in the flow diagrams and/or block diagrams, can be implemented by computer program instructions. These computer program instructions may be provided to a processor of a general purpose computer, special purpose computer, embedded processor, or other programmable apparatus to produce a machine, such that the instructions, which execute via the processor of the computer or other programmable apparatus, create means for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.
These computer program instructions may also be stored in a computer-readable memory that can direct a computer or other programmable apparatus to function in a particular manner, such that the instructions stored in the computer-readable memory produce an article of manufacture including instruction means which implement the function specified in the flowchart flow or flows and/or block diagram block or blocks.
These computer program instructions may also be loaded onto a computer or other programmable apparatus to cause a series of operational steps to be performed on the computer or other programmable apparatus to produce a computer implemented process such that the instructions which execute on the computer or other programmable apparatus provide steps for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.
In a typical configuration, a computing device includes one or more processors (CPUs), input/output interfaces, network interfaces, and memory.
The memory may include forms of volatile memory in a computer readable medium, Random Access Memory (RAM) and/or non-volatile memory, such as Read Only Memory (ROM) or flash memory (flash RAM). Memory is an example of a computer-readable medium.
Computer-readable media, including both non-transitory and non-transitory, removable and non-removable media, may implement information storage by any method or technology. The information may be computer readable instructions, data structures, modules of a program, or other data. Examples of computer storage media include, but are not limited to, phase change memory (PRAM), Static Random Access Memory (SRAM), Dynamic Random Access Memory (DRAM), other types of Random Access Memory (RAM), Read Only Memory (ROM), Electrically Erasable Programmable Read Only Memory (EEPROM), flash memory or other memory technology, compact disc read only memory (CD-ROM), Digital Versatile Discs (DVD) or other optical storage, magnetic cassettes, magnetic tape, magnetic disk storage or other magnetic storage devices, or any other non-transmission medium that can be used to store information that can be accessed by a computing device. As defined herein, a computer readable medium does not include a transitory computer readable medium such as a modulated data signal and a carrier wave.
Finally, it should be noted that: the above embodiments are only used for illustrating the technical solutions of the present application, and not for limiting the same; although the present application has been described in detail with reference to the foregoing embodiments, it should be understood by those of ordinary skill in the art that: the technical solutions described in the foregoing embodiments may still be modified, or some or all of the technical features may be equivalently replaced; and the modifications or the substitutions do not make the essence of the corresponding technical solutions depart from the scope of the technical solutions of the embodiments of the present application.