METHOD AND APPARATUS FOR TRANSMITTING AND RECEIVING WIRELESS SIGNAL IN WIRELESS COMMUNICATION SYSTEM

    公开(公告)号:US20250141515A1

    公开(公告)日:2025-05-01

    申请号:US18692252

    申请日:2021-09-17

    Abstract: The present disclosure relates to a method and an apparatus for operating in a wireless communication system, the method comprising the operations of: receiving configuration information related to CSI prediction; and deriving predicted CSI for a second time point later than a first time point from CSI for the first time point, based on the configuration information, wherein based on the predicted CSI satisfying an event, actual CSI for the second time point, measured from a reference signal is transmitted, and wherein based on the predicted CSI not satisfying the event, CSI reporting for the second time point is dropped.

    METHOD FOR PERFORMING FEDERATED LEARNING IN WIRELESS COMMUNICATION SYSTEM, AND APPARATUS THEREFOR

    公开(公告)号:US20250023609A1

    公开(公告)日:2025-01-16

    申请号:US18711460

    申请日:2022-11-07

    Abstract: The present specification provides a method by which a terminal performs federated learning with a plurality of terminals in a wireless communication system. More specifically, the method performed by one terminal comprises the steps of: receiving, from a server, a channel state information reference signal (CSI-RS); transmitting, to the server, channel state information (CSI) calculated on the basis of the CSI-RS; receiving, from the server, (i) information about a global parameter for the federated learning and (ii) compression state information for determining a weight compression method of the one terminal on the basis of channel state information of each of channels between the server and the plurality of terminals; determining a weight compression scheme based on (i) a difference value between the global parameter and a global parameter received before receiving the global parameter and (ii) the compression state information; and transmitting, to the server, an updated local parameter on the basis of the determined weight compression scheme.

    METHOD FOR PERFORMING FEDERATED LEARNING IN WIRELESS COMMUNICATION SYSTEM, AND APPARATUS THEREFOR

    公开(公告)号:US20250016619A1

    公开(公告)日:2025-01-09

    申请号:US18712453

    申请日:2022-11-07

    Abstract: The present disclosure provides a method for one user equipment (UE) to perform federated learning with a plurality of UEs in a wireless communication system. More specifically, the method performed by the one UE comprises receiving, from a server, a channel state information reference signal (CSI-RS); transmitting, to the server, channel state information (CSI) calculated based on the CSI-RS; receiving, from the server, compression state information for determining a weight compression method of the one UE based on (i) information on a global parameter for the federated learning and (ii) channel state information of each of channels between the server and the plurality of UEs; determining the weight compression method based on (i) a difference between the global parameter and a global parameter received before a reception of the global parameter and (ii) the compression state information; and transmitting, to the server, a local parameter updated based on the determined weight compression method.

    METHOD FOR REPORTING CHANNEL STATE INFORMATION IN WIRELESS COMMUNICATION SYSTEM AND APPARATUS THEREFOR

    公开(公告)号:US20250007582A1

    公开(公告)日:2025-01-02

    申请号:US18697654

    申请日:2021-10-01

    Abstract: The present disclosure provides a method for reporting, by a terminal, channel state information (CSI) in a wireless communication system. More specifically, the method includes: receiving, from a base station, a pilot signal related to calculation of a quantization rule, in which the quantization rule is determined based on an empirical distribution of an encoder neural network output of the terminal; transmitting, to the base station, quantization rule information related to the quantization rule calculated based on the pilot signal; and receiving, from the base station, information on a gradient calculated based on the quantization rule information, and the quantization rule information includes information on an empirically calculated variance with respect to the empirical distribution of the encoder neural network output.

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