DATA ACQUISITION METHOD AND APPARATUS, AND NETWORK-SIDE DEVICE

    公开(公告)号:US20250024244A1

    公开(公告)日:2025-01-16

    申请号:US18899329

    申请日:2024-09-27

    Abstract: This application discloses a data acquisition method, a data acquisition apparatus, and a network-side device. The data acquisition method in embodiments of this application includes: transmitting, by a first network element in a first PLMN, a first request to a second network element in a second PLMN, where the first request is used to acquire data generated by a roaming user terminal in the second PLMN and/or a data analytics result generated by the second PLMN for the roaming user terminal, and the roaming user terminal is a user terminal that roams from the first PLMN to the second PLMN or a user terminal that roams from the second PLMN to the first PLMN; and receiving, by the first network element, a first response transmitted by the second network element for the first request.

    METHOD AND APPARATUS FOR REGISTERING SERVICE-BASED USER PLANE, COMMUNICATION DEVICE AND SYSTEM, AND STORAGE MEDIUM

    公开(公告)号:US20240389047A1

    公开(公告)日:2024-11-21

    申请号:US18786566

    申请日:2024-07-28

    Abstract: A method and an apparatus for registering a service-based user plane, a method and an apparatus for determining a user plane, a method and an apparatus for subscribing to user plane service information, a communication device and system, and a storage medium, are provided. The method for registering a service-based user plane includes: sending, by a first network element, a target request to a second network element, where the target request is a registration request or a registration update request, and the target request is used to request to register the first network element to the second network element; and in a case that the first network element registers with the second network element, another network element is configured to discover the first network element through the second network element.

    USER EQUIPMENT INFORMATION PREDICTION METHOD AND APPARATUS, AND NETWORK ELEMENT

    公开(公告)号:US20250024417A1

    公开(公告)日:2025-01-16

    申请号:US18899111

    申请日:2024-09-27

    Abstract: A user equipment information prediction method and apparatus and a network element. The method in embodiments of this application includes: obtaining, by a first network element, user equipment location data of a first time period using a location service LCS architecture; and inputting, by the first network element, the user equipment location data of the first time period into a traffic model or a supervised learning model, and obtaining user equipment prediction information of a second time period output by the traffic model or the supervised learning model.

    DATA COLLECTION METHOD AND COMMUNICATION DEVICE

    公开(公告)号:US20250016543A1

    公开(公告)日:2025-01-09

    申请号:US18890745

    申请日:2024-09-19

    Abstract: This application discloses a data collection method and a communication device. The data collection method includes: A first communication device sends a first request to a target communication device, where the first request is used to request to obtain target data collected by a third communication device corresponding to a target terminal, and the target data is used by the first communication device to perform target processing; and the first communication device obtains the target data collected by the third communication device.

    MODEL ACCURACY DETERMINING METHOD AND APPARATUS, AND NETWORK-SIDE DEVICE

    公开(公告)号:US20240428094A1

    公开(公告)日:2024-12-26

    申请号:US18823861

    申请日:2024-09-04

    Abstract: This application discloses a model accuracy determining method and apparatus, and a network-side device. A model accuracy determining method in an embodiment of this application includes: performing, by a first network element, inference for a task based on a first model; determining, by the first network element, first accuracy corresponding to the first model, where the first accuracy is used to indicate accuracy of an inference result of the task obtained by the first model; and in a case that the first accuracy meets a preset condition, sending, by the first network element, first information to a second network element, where the first information is used to indicate that accuracy of the first model does not meet an accuracy requirement or has decreased; where the second network element is a network element that triggers the task.

    MODEL ACQUISITION METHOD AND COMMUNICATION DEVICE

    公开(公告)号:US20250063406A1

    公开(公告)日:2025-02-20

    申请号:US18937061

    申请日:2024-11-05

    Abstract: Provided are a model obtaining method and a communication device. The method includes: sending, by a first communication device, a first request to a second communication device, where the first request is used to request to obtain information of at least one third communication device, and each third communication device is able to provide model information of at least one model required by the first communication device; receiving, by the first communication device, information of at least one third communication device that is sent by the second communication device; and obtaining, by the first communication device, model information of a plurality of models based on the information of the at least one third communication device, where the plurality of models are used to derive data analytics result information.

    MODEL INFORMATION OBTAINING METHOD AND APPARATUS, MODEL INFORMATION SENDING METHOD AND APPARATUS, NODE, AND STORAGE MEDIUM

    公开(公告)号:US20250055763A1

    公开(公告)日:2025-02-13

    申请号:US18928631

    申请日:2024-10-28

    Inventor: Weiwei CHONG

    Abstract: This application discloses a model information obtaining method and apparatus, a model information sending method and apparatus, a node, and a storage medium. The model information obtaining method in embodiments of this application includes: determining, by a model training function node, a federated learning FL server node; sending, by the model training function node, a first request message to the FL server node, where the first request message is used to trigger the FL server node to perform federated learning to obtain a target model; and receiving, by the model training function node, information about the target model that is sent by the FL server node.

    METHOD AND APPARATUS FOR DETERMINING USER PLANE FUNCTION NETWORK ELEMENT

    公开(公告)号:US20250016544A1

    公开(公告)日:2025-01-09

    申请号:US18895421

    申请日:2024-09-25

    Abstract: Provided are a method and an apparatus for determining a user plane function network element. The method includes: transmitting, by a user plane function network element, a network element registration request message to a first network element, where the network element registration request message is used to register network element information of the user plane function network element to the first network element; and obtaining, by the user plane function network element, a network element registration response message transmitted by the first network element.

    MODEL TRAINING METHOD AND APPARATUS AND COMMUNICATION DEVICE

    公开(公告)号:US20240346330A1

    公开(公告)日:2024-10-17

    申请号:US18752752

    申请日:2024-06-24

    Inventor: Weiwei CHONG

    CPC classification number: G06N3/098

    Abstract: A model training method and apparatus and a communication device are provided. The model training method includes: sending, by a first network element, a federated model training request message to at least one second network element when performing a federated model training process corresponding to a model training task. The at least one second network element is a network element participating in the federated model training process. The model training method further includes receiving, by the first network elements, first information sent by the at least one second network element. The model training method also includes performing, by the first network element, model training based on the first model training intermediate data reported by the at least one second network element to obtain a target model or second model training intermediate data.

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