POWER CONTROL INFORMATION FOR COMMON TCI STATES

    公开(公告)号:US20220217643A1

    公开(公告)日:2022-07-07

    申请号:US17544573

    申请日:2021-12-07

    Abstract: Certain aspects of the present disclosure provide techniques for providing power control parameters for channels and/or reference signals sharing a same common transmission configuration indicator (TCI) state. A method that may be performed by a user equipment (UE) includes measuring a path loss at a user equipment, receiving, from a network, a plurality of power control configurations, wherein: each power control configuration of the plurality of power control configurations comprises a respective plurality of power control parameters, and each power control configuration of the plurality of power control configurations applies to a respective uplink channel or reference signal object associated with a common transmission configuration indication (TCI) state, and transmitting at least one uplink channel or reference signal object at a transmission power that is based on the measured path loss and at least one of the power control configurations of the plurality of power control configurations.

    TECHNIQUES FOR INDICATING A PANEL IDENTIFIER IN REPORTING RECEIVED BEAMS

    公开(公告)号:US20220116080A1

    公开(公告)日:2022-04-14

    申请号:US17498563

    申请日:2021-10-11

    Abstract: Aspects described herein relate to communicating a beam report that includes beam measurements performed by one or more antenna panels and an identifier of the one or more antenna panels. The beam report may be used to determine a number of antenna panels supported by a user equipment (UE) transmitting the beam report, which may be used in configuring the UE for communicating with one or more other devices.

    MACHINE LEARNING ERROR REPORTING
    223.
    发明申请

    公开(公告)号:US20210390434A1

    公开(公告)日:2021-12-16

    申请号:US17344013

    申请日:2021-06-10

    Abstract: Various aspects of the present disclosure generally relate to wireless communication. In some aspects, a user equipment may apply a machine learning-based model to one or more functions for wireless communication, determine an error event associated with the machine learning-based model based at least in part on applying the machine learning-based model, and transmit, to a base station, an error report based at least in part on determining the error event associated with the machine learning-based model. Numerous other aspects are provided.

    BEAM REPORTING ENHANCEMENTS FOR SINGLE-FREQUENCY NETWORK ENVIRONMENTS IN RADIO ACCESS NETWORKS

    公开(公告)号:US20210351831A1

    公开(公告)日:2021-11-11

    申请号:US17239303

    申请日:2021-04-23

    Abstract: Certain aspects of the present disclosure provide a method for performing beam measurements in a wireless communication network, including: performing a measurement of a first beam from a first transmission and reception point (TRP) of a network; performing a measurement of a second beam from a plurality of TRPs of the network; applying a biasing factor to one of the measurement of the first beam or the measurement of the second beam based on a beam preference setting; and transmitting, to the network, a measurement report including: indications of the first beam and second beam to which the measurement report pertains; and the measurement of the first beam and the measurement of the second beam after applying the biasing factor.

    FREQUENCY PRE-COMPENSATION FOR HIGH-SPEED TRAIN SINGLE FREQUENCY NETWORKS

    公开(公告)号:US20210320685A1

    公开(公告)日:2021-10-14

    申请号:US17301613

    申请日:2021-04-08

    Abstract: Wireless communication devices, systems, and methods related to mechanisms for transmitting and receiving reference signals in a high-speed train (HST) single frequency network (SFN). A base station (BS) determines a first frequency pre-compensation value for a reference signal transmitted via a first transmission and reception point (TRP) and a second frequency pre-compensation value for a reference signal via a second TRP. The BS notifies a user equipment (UE) of the first and second pre-compensation values through at least one of the TRPs. The BS applies the first pre-compensation value to the reference signal via the first TRP and the second pre-compensation value to the reference signal via the second TRP. The UE adjusts its tracking loop for the reference signal based on the pre-compensation values, reducing estimation and/or search overhead at the UE.

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