BEAM REPORT TRANSMISSION METHOD, MOBILE TERMINAL, AND NETWORK DEVICE

    公开(公告)号:US20230030859A1

    公开(公告)日:2023-02-02

    申请号:US17966478

    申请日:2022-10-14

    Inventor: Ang YANG Peng SUN

    Abstract: Embodiments of the present disclosure disclose a beam report transmission method, a mobile terminal, and a network device, to guarantee transmission and reception performance and reduce overheads of beam reports. The method includes: sending corresponding first beam reports respectively to a plurality of first transmission and reception points, where the first beam reports are reports of reference signals corresponding to the first transmission and reception points.

    METHOD FOR DETERMINING REFERENCE SIGNAL AND COMMUNICATIONS DEVICE

    公开(公告)号:US20220386144A1

    公开(公告)日:2022-12-01

    申请号:US17886434

    申请日:2022-08-11

    Inventor: Ang YANG Peng SUN

    Abstract: A method for determining a reference signal and a communications device are provided. The method for determining a reference signal includes determining a target Reference Signal (RS) as a RS of a neighboring cell in a case that a first condition is met. The first condition includes any one of the following: first information includes related information of the neighboring cell; or related configuration information of a first object includes related information of the neighboring cell.

    COMMUNICATION MODEL CONFIGURATION METHOD AND APPARATUS, AND COMMUNICATION DEVICE

    公开(公告)号:US20240357382A1

    公开(公告)日:2024-10-24

    申请号:US18759827

    申请日:2024-06-29

    CPC classification number: H04W24/02 H04L5/0051 H04W74/0833

    Abstract: A communication model configuration method and apparatus, and a communication device. The method includes: obtaining, by a first communication device, artificial intelligence AI model configuration information; where the AI model configuration information includes at least one of the following: first information, where the first information is used to indicate a basic communication procedure, and the basic communication procedure includes one functional unit or at least two series-connected functional units; second information, where the second information is used to indicate a functional unit in the basic communication procedure; third information, where the third information is used to indicate an AI model module, and an AI model in the AI model module is used for executing a function of a corresponding functional unit; and fourth information, where the fourth information is used to indicate an input reference point and an output reference point of the AI model module.

    COMMUNICATION METHOD AND APPARATUS, AND RELATED DEVICE

    公开(公告)号:US20240356819A1

    公开(公告)日:2024-10-24

    申请号:US18758337

    申请日:2024-06-28

    Inventor: Ang YANG Peng SUN

    CPC classification number: H04L41/16 H04W24/02

    Abstract: This application discloses a communication method and apparatus, and a related device. The communication method in embodiments of this application includes: obtaining, by a first end, first information, where the first information is used for indicating at least one of the following: a function of an artificial intelligence AI model, input information of the AI model, and output information of the AI model; and performing, by the first end, a communication operation using an AI model based on the first information.

    CLIENT SCREENING METHOD AND APPARATUS, CLIENT, AND CENTRAL DEVICE

    公开(公告)号:US20240330776A1

    公开(公告)日:2024-10-03

    申请号:US18742443

    申请日:2024-06-13

    CPC classification number: G06N20/00

    Abstract: A client screening method and apparatus, a client, and a central device are provided, relating to the field of communication technologies. The client screening method includes: sending, by a central device, a first instruction to a client, to indicate the client to participate in model training of specific federated learning or federated meta learning (101); and receiving, by the central device, a training result reported by the client, where the training result is a result or an intermediate result after the client performs a round of model training (102).

    CHANNEL ESTIMATION METHOD AND APPARATUS, TERMINAL, AND NETWORK-SIDE DEVICE

    公开(公告)号:US20240291693A1

    公开(公告)日:2024-08-29

    申请号:US18640102

    申请日:2024-04-19

    CPC classification number: H04L25/0228 H04L25/0254

    Abstract: This application discloses a channel estimation method and apparatus, a terminal, and a network-side device. The channel estimation method includes: receiving, by a terminal, a pilot signal sent by a network-side device, where resource blocks (RBs) occupied by the pilot signal in a first time domain transmission unit and RBs occupied by the pilot signal in a second time domain transmission unit are at least partially different; and performing channel estimation on a third time domain transmission unit based on the pilot signal in the first time domain transmission unit and the pilot signal in the second time domain transmission unit.

    METHOD FOR ASSOCIATING NEIGHBORING CELL AND DEVICE

    公开(公告)号:US20220377732A1

    公开(公告)日:2022-11-24

    申请号:US17880584

    申请日:2022-08-03

    Inventor: Ang YANG Peng SUN

    Abstract: A method for associating a neighboring cell and a device are provided. The method can be performed by a terminal device and includes: receiving first configuration information, where the first configuration information is associated with one or more control resource sets (CORESETs), and a first CORESET of the one or more CORESETs is associated with a neighboring cell of the terminal device.

    METHOD FOR DETERMINING A MODEL INPUT AND COMMUNICATION DEVICE

    公开(公告)号:US20250037030A1

    公开(公告)日:2025-01-30

    申请号:US18914047

    申请日:2024-10-11

    Abstract: This application discloses a method for determining a model input and a communication device. The method for determining the model input includes: a first communication device determines an input of an AI model based on configuration information of the AI model. The configuration information is used to instruct to select N elements from a first domain as the input of the AI model. N is an integer greater than or equal to 1, the first domain includes M elements, and M is an integer greater than N.

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