INPUT SCALING FOR ARTIFICIAL INTELLIGENCE BASED CHANNEL STATE INFORMATION FEEDBACK COMPRESSION

    公开(公告)号:US20240283610A1

    公开(公告)日:2024-08-22

    申请号:US18422069

    申请日:2024-01-25

    Applicant: Apple Inc.

    CPC classification number: H04L5/0053

    Abstract: Systems, methods, and circuitries are provided for aligning a number of eigen-vectors summarizing channel state information to a number of input nodes of an AI-based CSI feedback compression encoder. In one example, a method includes receiving a channel state information (CSI) report configuration that indicates a number of PRBs; determining a number of subbands and a respective number of PRBs in each respective subband; and generating a plurality of eigen-vectors, wherein one or more of the eigen-vectors summarizes a channel state matrix across a respective subband. A number eigen-vectors in the plurality corresponds to number of inputs of an artificial intelligence (AI) encoder used for CSI feedback compression.

    Time Domain Resource Selection
    34.
    发明公开

    公开(公告)号:US20240155573A1

    公开(公告)日:2024-05-09

    申请号:US18496029

    申请日:2023-10-27

    Applicant: Apple Inc.

    CPC classification number: H04W72/0446 H04W72/20

    Abstract: This disclosure relates to techniques for selecting time domain resources in a wireless communication system. A wireless device and a cellular base station may establish a wireless link. The wireless device may receive an uplink grant that provides multiple uplink transmission occasions. The wireless device may select a subset of the multiple uplink transmission occasions and may perform uplink transmissions during the selected subset. The subset selected by the wireless device may be determined based on a resource adjustment rule for the wireless device. Each of the uplink transmissions may include an indication of uplink transmission occasions that are unused by the wireless device.

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