SYSTEMS, DEVICES AND METHODS FOR SCHEDULING WIRELESS COMMUNICATIONS

    公开(公告)号:US20240291527A1

    公开(公告)日:2024-08-29

    申请号:US18562844

    申请日:2021-12-24

    Inventor: Xin ZHANG Di LIU

    CPC classification number: H04B7/0452 H04B7/063 H04B7/0632 H04B7/0639

    Abstract: Processing circuitry for a communication station configured to facilitate multi-user multiple-input multiple output (MU-MIMO) service. The processing circuitry can perform a multi-user selection for data transmission on a shared radio resource from a plurality of User Equipments (UEs). The processing circuitry selects one or more of the plurality of candidate UEs in time domain based on time-domain scheduling algorithm, obtain historical throughput data and input for each selected UE. The input includes a channel state indicator including a single-user channel quality indicator (SU-CQI), a precoding matrix indicator (PMI), rank indicator, and a channel state matrix. A trained reinforcement learning agent (RL agent) using the obtained input infers a rating score for each of the plurality of UEs. The processing circuitry schedules the one or more the UEs for transmission respectively on the plurality of radio resources based on the plurality of score ratings and allocate the plurality of radio resources.

    METHODS AND DEVICES FOR BEAM MANAGEMENT OPERATION

    公开(公告)号:US20240372600A1

    公开(公告)日:2024-11-07

    申请号:US18572805

    申请日:2021-12-23

    Abstract: Devices and methods for performing a beam management operation are provided in this disclosure. A radio communication device may include a transceiver that is configured to transmit a plurality of reference signals, each reference signal being beamformed based on a set of beamforming weights that is different from a set of beamforming weights of at least one other reference signal, and receive a plurality of measurement results representing measurements for at least some of the plurality of reference signals. The radio communication device may further include a processor that is configured to provide the plurality of measurement results to a machine learning model configured to determine a parameter for a beam management operation using a predefined codebook and perform the beam management operation according to the predefined codebook based on the determined parameter.

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