DEVICE AND METHOD FOR PERFORMING MULTI-USER PRECODING IN WIRELESS COMMUNICATION SYSTEM

    公开(公告)号:US20250030463A1

    公开(公告)日:2025-01-23

    申请号:US18712090

    申请日:2022-09-22

    Abstract: The present disclosure is to perform multiuser precoding in a wireless communication system. A method of operating a device for performing multiuser precoding in a wireless communication system may comprise transmitting configuration information related to channel state information (CSI) feedback to candidate devices, transmitting reference signals corresponding to the configuration information, receiving CSI feedback signals from the candidate devices, determining precoding vectors for participating devices that are at least part of the candidate devices, performing precoding for data to the participating devices using the precoding vectors, and transmitting the precoded data. The participating devices may be determined based on information including magnitude values of precoding vectors for the candidate devices determined by a decoder neural network based on the CSI feedback signals generated by an encoder neural network.

    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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