Huawei Technologies Co., Limited

Future Wei Technologies, Inc.

Paypal, Inc.

Huawei Technologies,co., Ltd.

Xiaobo Wu

Weiwei Chong

Yang Xin

Hai Liu

Wanqiang Zhang

Lin Shu

Fangyuan Zhu

Yali Guo

Clarissa Marquezan

Weihua Zhou

Weisheng Jin

Qing Wei

Runze Zhou

Ye Zou

Wenruo Zhu

Xinyong Wang

Xiaoying Xu

Yizhuang Wu

Yongcui Li

Caixia Qi

Wei Xiao

Guobao Xi

Daliang Zhang

Shengze Zu

Jian Zhang

Chunshan Xiong

Shufeng Shi

Yanyan Chen

Xiaoqin Duan

Yali Yan

Qingyu Li

Shengxian Nie

Yangming Lv

Qinghai Zeng

Yan Li

Xiaolong Guo

Wei Tan

Dong Chen

Yang Zhao

Zhixian Xiang

Yi Zhou

Yanping Zhang

Li Hu

Riccardo Trivisonno

Jian Xu

Tao Jiang

Tao Deng

Chao Sun

Yanglai Shuai

Daniel Tsun Kao

Huadong Hu

Liwei Qiu

Haoren Zhu

JinYu Lou

Guangwei Wang

Xiaoji Sun

Sonya Rongsheng Liang

Manli Sun

Zhipeng Fang

Haopeng Zhu

Chaoou Huang

Tingting Deng

Yaowei Han

Qian Sun

Changqing Geng

Yanglin Ye

A first entity for a communication network is provided. The first entity is configured to receive a feature mapping indication from a second entity of the communication network. The feature mapping indication comprises characteristics of a relationship between a set of data samples and properties of data in the data samples of the set of data samples for an analytics model at an analytics stage, wherein the feature mapping indication comprises a request for a feature mapping data structure. The feature mapping data structure includes a second set of data samples based on the relationship between the set of data samples and the properties of the data in the data samples of the set of data samples for use with the analytics model at the analytics stage for an analytics consumer.

Entities and methods for enabling control of a usage of collected data in multiple analytics phases in communication networks

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.

Communication method and related device

This application provides a communication method, a communication apparatus, a device, and a communication system. A data analytics network element determines a service quality analytics result for a target terminal device, and sends the service quality analytics result to an access network element. After receiving the service quality analytics result, the access network element may perform handover decision on the target terminal device based on the service quality analytics result.

Communication method, communication apparatus, device, and communication system

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.

Information processing method, apparatus, and system

A policy determining method is disclosed, and includes: obtaining, based on a digital twin entity, first data and a label corresponding to the first data; and training, based on the first data and the label corresponding to the first data, to obtain an artificial intelligence AI model. The AI model is configured to obtain an air interface access policy and/or a user plane path selection policy of a plurality of terminal devices in a network or in an area. This helps resolve a problem of the air interface access policy and user plane path selection of the plurality of terminal devices in the network or in the area. This can further ensure that network energy consumption is the lowest when overall average service experience of the terminal devices reaches a specific threshold.

Policy determining method and apparatus

This application provides a user plane path selection method and an apparatus. The method includes: A first network element determines, based on at least one service type corresponding to a terminal device, service experience analytics data corresponding to the at least one service type, and then selects one or more user plane paths for a session of the terminal device based on the service experience analytics data. This enables a user plane path to be associated with a service, helps select a more appropriate user plane path for the terminal device, and can improve communication efficiency.

User plane path selection method and apparatus

This application provides a model training method and apparatus. The method includes: obtaining first capability information and second capability information of a client; determining, based on the first capability information and the second capability information, that the client reports model information to a cloud server or an edge server; and sending first indication information to the client. The first indication information indicates the client to report the model information to the cloud server or the edge server. According to the model training method and apparatus provided in this application, in a horizontal federated training method in a hybrid mode, a manner of reporting local model information by the client may be flexibly selected based on capability information of the client, so that horizontal federated training efficiency can be improved.

Model training method and apparatus

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.

Communication method, apparatus, and system

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.

Method for allocating bearer identifier, apparatus, and system

Embodiments of this application disclose a communication method and a communication apparatus, to identify application information of first data, and improve an application analytics success rate. The method includes: A first data analytics network element receives first information of an application from a first network element, where the first information includes first application description information and/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; and the first data analytics network element sends the second information to a second network element.

Communication method and communication apparatus

Embodiments of this application provide a terminal information processing method for determining exception information of a terminal. The method includes: obtaining, by a data analytics network element, data of a first terminal on an application function network element, where the data includes exception information of the first terminal; obtaining, by the data analytics network element, first terminal information of the first terminal on one or more network elements; and determining, by the data analytics network element, exception information of a second terminal based on the exception information of the first terminal and the first terminal information.

Terminal information processing method and apparatus, and system

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.

Data processing method and apparatus

The present disclosure relates to performing mobile network configurations or changes. A first device is presented for performing the mobile network configuration or change, and a second device is presented for generating feedback for supporting the mobile network configuration or change. The first device is configured to send a support request to the second device, wherein the support request specifies a reusable or specific feedback type and a target information. The second device is configured to send reusable or specific feedback about the target information in response to the support request. The first device is then configured to determine a configuration or change of the mobile network based on the reusable or specific feedback. The reusable feedback includes a value or set of values of the target information and at least one coordination parameter indicating how the reusable feedback is to be used by multiple second devices.

Device and method for user equipment registration assisted by analytics to support intra- and inter-network slice load balancing

A resource scheduling method for a network slice is provided, where a slice management network element sends a request to a data analysis network element. The request includes service experience requirement information of a first network slice. The slice management network element receives a response sent by the data analysis network element. The response includes information about a first area and/or information about a first time that are/is of the first network slice and that correspond/corresponds to the service experience requirement information. The slice management network element sends information about a second area and/or information about a second time to a network device based on the information about the first area and/or the information about the first time. The network device schedules a resource for the first network slice based on the information about the second area and/or the information about the second time.

Resource scheduling method for network slice and device

A network entity determines at least one model parameter of a model for digitally analyzing input data depending on the at least one model parameter of a model, the network entity being configured to receive a model request from a requesting entity over the communication network, the model request requesting the at least one model parameter of the model, to obtain the requested at least one model parameter by at least one of the following: executing a machine-learning model training algorithm, the machine-learning model training algorithm being configured to train the model with input data in order to determine at least one of the requested model parameter; searching a local data base for an existing model; or requesting the at least one model parameter from a further network entity; and to send the requested model parameter towards the requesting entity over the communication network.

Network entity for determining a model for digitally analyzing input data

Growing community of inventors

Shanghai, China

Xiaobo Wu