Abstract: This application discloses a data analysis method and an apparatus. The method includes: A data analysis network element sends a first request message to a security network element, where the first request message is used to request to perform security detection on first data, and the first data is data for which the data analysis network element performs data analysis on a specified data analysis type. The data analysis network element generates or updates, based on a security detection result, a data analysis result corresponding to the data analysis type. According to the method in this application, the security network element may perform security detection on the first data, and separate abnormal data from the first data, so that the data analysis network element can establish a model based on data other than the abnormal data, to improve accuracy of the model and improve accuracy of the data analysis result.

Abstract: A method includes receiving, by a mobility management network element in a first network, first information from an access network device in the first network, where the first information indicates a handover of a terminal device from the first network to a second network, and sending, by the mobility management network element in the first network, second information to a mobility management network element in a third network based on the first information, where the second information instructs the mobility management network element in the third network to send a handover request to a mobile switching network element in the second network, and the handover request requests to hand over a voice service of the terminal device to the second network.

Abstract: The present disclosure relates to communication methods and communication apparatuses. In one example method, a first data analytics network element receives first information of an application from a first network element, where the first information includes at least one of first application description information or an application status that correspond/corresponds to the application. The first application description information includes an application identifier and first IP information that correspond to the application, and the application status includes a foreground state or a background state of the application. The first data analytics network element determines second information based on the first information. The first data analytics network element sends the second information to a second network element.

Abstract: Embodiments of this application disclose a communication method, device, and system. A first network element sends a first request to a second network element, where the first request is for requesting authorization information of user-related data, the first request includes user information and a first use scope of the user-related data, and the first use scope includes at least one of the following information: a first use object, a first use purpose, or first use time. The first network element receives a first response sent by the second network element, where the first response includes authorization information, and the authorization information indicates whether a user corresponding to the user information allows the related data to be used for the first use scope.

Abstract: A communication method, a communication apparatus, and system are disclosed. The method includes a data analytics network element (NWDAF) sends a first request to a storage function network element. The first request includes delay information and/or indication information. The indication information indicates that the NWDAF supports analyzing data within a specified delay. The first request is used to store the delay information and/or the indication information into the storage function network element. The data analytics network element receives a first response from the storage function network element. The first response indicates, to the data analytics network element, that the delay information and/or the indication information are/is successfully stored.

Abstract: A method for correlating data of a terminal device and an apparatus are provided, to correlate data of a single terminal device by a RAN side, and further analyze the data of the terminal device. The method is: A first device obtains first data of a terminal device on a second device, where the first data includes first correlation information, the first correlation information is used to correlate the first data with second data of the terminal device on a first access network device, the second data includes the first correlation information, and there are one or more terminal devices. The first device determines a first identifier of the terminal device, and sends the first correlation information and the first identifier of the terminal device to a second access network device.

Abstract: A method and an apparatus for determining radio access policy include implementation by a first network element that obtains a movement manner of a terminal device. The first network element determines a radio access policy of the terminal device based on the movement manner of the terminal device. The radio access policy is used to indicate at least one of a radio access technology (RAT) selection priority of the terminal device, a frequency selection priority of the terminal device, or a cell selection priority of the terminal device enabling the terminal device to access a proper RAT system, frequency, or cell.

Abstract: A communication method includes: sending, by a policy control network element, first query information to a data analytics network element, where the first query information is used to obtain service quality information; and receiving, by the policy control network element, first response information sent by the data analytics network element, where the first response information includes the quality information that is of the service and that is requested using the first query information.

Abstract: A data processing method and an apparatus relate to the communication field. The data processing method includes: A first network data analytics network element determines identification information of one or more submodels related to a target model. The first network data analytics network element sends the identification information of the submodel to a network element corresponding to the identification information of the submodel. The first network data analytics network element receives, from the network element, a value that reflects impact of the submodel on the target model, and performs training, to obtain the target model. The data processing method and apparatus provide functions such as accurate data collection, data analysis, and data training.

Abstract: A session management method, an access management function device, and a session management device, where the method is carried out by an access and mobility management network element and includes: obtaining first subscription data of a terminal in a first communications network and second subscription data of the terminal in a second communications network, where the first subscription data includes a data network name (DNN), and the second subscription data includes an access point name (APN) corresponding to the DNN; allocating a bearer identifier to a bearer in a packet data network (PDN) connection corresponding to the APN; receiving a flow identifier that is of a flow in a protocol data unit (PDU) session corresponding to the DNN and that is sent by a session management network element; and sending the bearer identifier and the flow identifier to the terminal.

Abstract: A communication method includes: sending, by a policy control network element, first query information to a data analytics network element, where the first query information is used to obtain service quality information; and receiving, by the policy control network element, first response information sent by the data analytics network element, where the first response information includes the quality information that is of the service and that is requested using the first query information.

Abstract: A communication method includes receiving, by a second data analytics network element, a status analytics output of a target object from a first data analytics network element. The target object includes one or more of a network device, a sub-domain of a network, an all-domain of a network, or a terminal device. The communication method also includes obtaining, by the second data analytics network element based on the status analytics output of the target object, first input data corresponding to a target type of analytics. The status analytics output of the target object indicates that the target object is in an abnormal state, indicating that the first input data does not comprise data corresponding to the target object. The communication method further includes generating, by the second data analytics network element based on the first input data, a first analytics output corresponding to the target type of analytics.

Abstract: Embodiments of this application provide a data analytics method and data analytics apparatus. The method includes obtaining, by a user plane data processing network element, at least one matching condition that is from a data analytics network element, where each of the at least one matching condition corresponds to at least one service type or at least one execution rule. The method further includes obtaining, by the user plane data processing network element based on the at least one matching condition, a service type associated with user plane data or an execution rule associated with the user plane data. Embodiments of this application implement data analytics by using the data analytics network element in a communications network.

Abstract: A communication method includes sending, by a first data analytics network element, a first request to a service discovery network element. The first request requests information about a second data analytics network element. The first request includes one or more of information about distributed learning or first indication information. The information about distributed learning includes a type of distributed learning. The first indication information indicates a type of the second data analytics network element. The method also includes receiving, by the first data analytics network element, information about the second data analytics network element from the service discovery network element. The second data analytics network element supports the type of distributed learning.

Abstract: Embodiments of this application provide a policy determining method and apparatus, and a system, and relate to the field of communication technologies, to formulate a first policy for a subarea more accurately. The solution includes: A first network element sends, to a data analytics network element, a first request for requesting network performance information. The first request includes information about a first area and information about a first time period. The first network element receives first network performance information in a second area from the data analytics network element. The first network element determines a first policy based on the first network performance information. In this solution, a subarea may be used as a granularity, and the first policy may be accurately determined based on first network performance information in the subarea.

Abstract: A method for determining quality of service (QoS) description information includes receiving at least one piece of QoS description information of a service. Each piece of the at least one piece of QoS description information includes parameter type information and a parameter requirement. The method also includes sending to a second core network element or an application function network element corresponding to the service, parameter type information and a parameter requirement in the at least one piece of QoS description information. The method further includes receiving from the second core network element or the application function network element, feedback information of the parameter type information and the parameter requirement. The method additionally includes determining at least one piece of target QoS description information in the at least one piece of QoS description information based on the feedback information.

Abstract: Embodiments of this application provide example data analytics methods and example data analytics apparatuses. An example method carried out by a user plane data processing network element includes: obtaining information about at least one feature set from a data analytics network element, where information about each feature set in the information about the at least one feature set corresponds to at least one service type or at least one execution rule; obtaining a feature parameter of user plane data based on the information about the at least one feature set; sending the feature parameter to the data analytics network element; obtaining a response result of the feature parameter from the data analytics network element; obtaining, based on the response result, a service type associated with the user plane data or an execution rule associated with the user plane data.

Abstract: The present disclosure relates to information processing methods, apparatus, and systems. In one example method, a first network element receives data analytics information from a first data analytics network element, where the data analytics information includes one or more of an identifier of a first terminal, activity degree information of the first terminal, moving trajectory information of the first terminal, and first risk information of the first terminal. The first network element determines an association relationship between the first terminal and an emergency event based on the data analytics information.

Abstract: Embodiments of this application provide a data analytics method, an apparatus, and a system, and relate to the field of communication technologies, to improve a use effect of data analytics information. The method includes: A data analytics network element receives, from a first network element, effect information of data analytics information. The data analytics network element determines updated data analytics information based on the effect information. In this way, the data analytics network element determines, based on the effect information, whether a use effect achieved by using the data analytics information is good or bad, to know whether a data analytics model is accurate. In this solution, the data analytics network element may actively update the data analytics information in time based on the effect information, to improve a use effect of the updated data analytics information.

Abstract: Embodiments of this application provide a data processing method and apparatus. The method includes: parsing, by a user plane data processing network element, a received packet and determining first service type information of a data flow to which the packet belongs; obtaining, by the user plane data processing network element, second service type information of the data flow from a data analysis network element; and processing, by the user plane data processing network element, the data flow based on the first service type information and the second service type information. With the data processing method and apparatus disclosed herein, accuracy in identifying a service type of transmitted data can be improved.