MULTIPLE INPUT MULTIPLE OUTPUT CODEBOOKS
    51.
    发明公开

    公开(公告)号:US20240333350A1

    公开(公告)日:2024-10-03

    申请号:US18577853

    申请日:2021-09-06

    CPC classification number: H04B7/0456

    Abstract: Various aspects of the present disclosure generally relate to wireless communication. In some aspects, a wireless communication device may select a codebook for a multiple-input multiple-output (MIMO) communication from among one or more codebooks that include one or more of non-coherent codebooks for 6 or 8 antennas of the wireless communication device, partially-coherent codebooks for multiple paired antennas of the 6 or 8 antennas of the wireless communication device, or full-coherent codebooks for the 6 or 8 antennas of the wireless communication device. The wireless communication device may transmit or receiving the communication using the codebook. Numerous other aspects are described.

    ADAPTIVE GROUPING FOR COOPERATIVE RADAR SENSING

    公开(公告)号:US20230337297A1

    公开(公告)日:2023-10-19

    申请号:US17659249

    申请日:2022-04-14

    CPC classification number: H04W76/14 H04W16/28 H04W76/15

    Abstract: Certain aspects of the present disclosure provide techniques for adaptive grouping for cooperative radar sensing. A method for wireless communications by a first network entity includes receiving, from a second network entity, first grouping information comprising an indication of a first plurality of network entities, the first grouping information associated with a first time-period; receiving, from the second network entity, second grouping information comprising an indication of a second plurality of network entities, the second grouping information associated with a second time-period; receiving a first radar signal during the first time-period; receiving a second radar signal during the second time-period; transmitting, to the second network entity, first sensing information based on the first radar signal; and transmitting, to the second network entity, second sensing information based on the second radar signal.

    GAIN SCALING OF INPUT TO NEURAL NETWORK FOR END-TO-END LEARNING IN WIRELESS COMMUNICATION SYSTEM

    公开(公告)号:US20230114870A1

    公开(公告)日:2023-04-13

    申请号:US17498651

    申请日:2021-10-11

    Abstract: A method of wireless communication by a user equipment (UE) includes receiving different sets of parameters from different sources as input to a receiver neural network. The method also includes receiving, from a base station, a set of target long-term energy values associated with the receiver neural network. The method further includes calculating a scaling factor for each of the different sets of parameters based on the set of target long-term energy values, and separately scaling each of the different sets of parameters based on the scaling factor calculated for that set in order to generate multiple sets of scaled parameters. The method still further includes transmitting the multiple sets of scaled parameters to the receiver neural network.

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