METHOD AND DEVICE FOR COMPRESSING CHANNEL STATE INFORMATION

    公开(公告)号:US20250150138A1

    公开(公告)日:2025-05-08

    申请号:US18918268

    申请日:2024-10-17

    Abstract: A method of operating a wireless communication device includes calculating a first channel matrix for a downlink channel based on a CSI-RS, determining a stage level of a multi-stage vector quantization process based on an uplink channel, extracting, using a first machine learning model, a latent vector based on the first channel matrix, selecting a first codeword from a first codebook corresponding to a first stage, and generating, in the first stage, a first residual latent vector based on the latent vector, selecting, in a second stage corresponding to the determined stage level, a second codeword from a second codebook corresponding to the second stage, and generating, in the second stage, a second residual latent vector based on the first residual latent vector, wherein the second residual latent vector is based on a second codeword, and generating a bitstream based on the first codeword and the second codeword.

    ELECTRONIC DEVICE FOR PERFORMING BEAM MANAGEMENT BASED ON NEURAL NETWORK AND OPERATION METHOD THEREOF

    公开(公告)号:US20240396650A1

    公开(公告)日:2024-11-28

    申请号:US18793098

    申请日:2024-08-02

    Abstract: An electronic device includes at least one memory, a communication interface including an antenna array configured to form a plurality of candidate beams, and at least one processor operatively connected to the communication interface and the at least one memory. The at least one processor is configured to generate a plurality of pieces of reference signal received power (RSRP) pattern data based on an RSRP measured in each of the plurality of candidate beams with respect to a signal received from an external device; estimate an angle of arrival (AoA) distribution for each of the plurality of pieces of RSRP pattern data, by applying each of the plurality of pieces of RSRP pattern data to a neural network that is trained based on a deep-learning algorithm; and perform a beam management for a wireless communication with the external device, based on the estimated AoA distribution.

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