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    MACHINE LEARNING FEATURE GROUP FOR USER EQUIPMENT CAPABILITY
    2.
    发明公开
    MACHINE LEARNING FEATURE GROUP FOR USER EQUIPMENT CAPABILITY 审中-公开

    公开(公告)号：US20240365108A1

    公开(公告)日：2024-10-31

    申请号：US18571982

    申请日：2021-09-03

    Applicant: QUALCOMM Incorporated

    Inventor： Yuwei REN ,  Huilin XU ,  Fei HUANG ,  June NAMGOONG

    IPC: H04W8/22 ,  G06N3/0464 ,  G06N3/06

    CPC classification number: H04W8/22 ,  G06N3/0464 ,  G06N3/06

    Abstract: Various aspects of the present disclosure generally relate to wireless communication. In some aspects, a user equipment (UE) may select a machine learning (ML) feature group from among a first ML feature group and a second ML feature group based at least in part on a UE capability of the UE for ML features. The ML features or an ML feature parameter of the first ML feature group may be different than ML features or an ML feature parameter of the second ML feature group. The UE may perform an action associated with wireless communication based at least in part on a model with one or more ML features from the selected ML feature group. Numerous other aspects are described.

    REMOTE INTERFERENCE DETECTION BASED ON MACHINE LEARNING
    3.
    发明公开
    REMOTE INTERFERENCE DETECTION BASED ON MACHINE LEARNING 审中-公开

    公开(公告)号：US20240357399A1

    公开(公告)日：2024-10-24

    申请号：US18682312

    申请日：2021-10-08

    Applicant: QUALCOMM Incorporated

    Inventor： Yuwei REN ,  Xipeng ZHU ,  Huilin XU ,  June NAMGOONG

    IPC: H04W24/10 ,  H04L41/16

    CPC classification number: H04W24/10 ,  H04L41/16

    Abstract: Methods, systems, and devices for wireless communications are described. The method may include a wireless device (e.g., a user equipment (UE) or a base station) receiving, from a network node, a machine learning model for use by the wireless device to detect remote interference from a base station. The wireless device may be associated with a first cell and the base station may be associated with a second cell different from the first cell. The wireless device may input one or more parameters into the machine learning model and detect whether the remote interference from the base station is present based on an output of the machine learning model.

    DCI-BASED INDICATION TO TRIGGER THE COMBINED ML MODEL
    4.
    发明公开
    DCI-BASED INDICATION TO TRIGGER THE COMBINED ML MODEL 审中-公开

    公开(公告)号：US20240314798A1

    公开(公告)日：2024-09-19

    申请号：US18571053

    申请日：2021-08-10

    Applicant: QUALCOMM Incorporated

    Inventor： Yuwei REN ,  Huilin XU ,  June NAMGOONG

    IPC: H04W72/231 ,  H04W24/02 ,  H04W76/20

    CPC classification number: H04W72/231 ,  H04W24/02 ,  H04W76/20

    Abstract: A base station may set one or more bits of DCI that at least one of indicate or trigger a configuration of an ML model at a UE. The configuration may be based on an association between at least one first ML block for a first procedure and at least one second ML block for a second procedure. The at least one second ML block may be dedicated to a task included in a plurality of tasks associated with the at least one first ML block. The base station may transmit the DCI including the one or more bits to the UE, which may cause the UE to configure the ML model including the association between the at least one first ML block for the first procedure and the at least one second ML block for the second procedure.

    MACHINE LEARNING GROUP SWITCHING
    5.
    发明公开
    MACHINE LEARNING GROUP SWITCHING 审中-公开

    公开(公告)号：US20240267710A1

    公开(公告)日：2024-08-08

    申请号：US18564986

    申请日：2021-08-04

    Applicant: QUALCOMM Incorporated

    Inventor： Yuwei REN ,  Huilin XU ,  June NAMGOONG

    IPC: H04W4/08 ,  H04L41/16

    CPC classification number: H04W4/08 ,  H04L41/16

    Abstract: Various aspects of the present disclosure generally relate to wireless communication. In some aspects, a first user equipment (UE) may receive an indication on whether to switch from a first machine learning (ML) group to a second ML group or to continue with the first ML group. The UE may switch to the second ML group if the indication is to switch or continuing with the first ML group if the indication is to continue. The UE may perform a first action associated with wireless communication based at least in part on a first model developed with the first ML group if the indication is to continue. The UE may perform a second action associated with wireless communication based at least in part on a second model developed with the second ML group if the indication is to switch. Numerous other aspects are described.

    BEAM QUALITY MEASUREMENTS IN WIRELESS NETWORKS
    10.
    发明申请
    BEAM QUALITY MEASUREMENTS IN WIRELESS NETWORKS 有权

    公开(公告)号：US20220407581A1

    公开(公告)日：2022-12-22

    申请号：US17772363

    申请日：2020-11-25

    Applicant: QUALCOMM Incorporated

    Inventor： Huilin XU ,  Alexandros MANOLAKOS ,  Weimin DUAN ,  June NAMGOONG ,  Muhammad Sayed Khairy ABDELGHAFFAR

    IPC: H04B7/06 ,  H04W24/08

    Abstract: Aspects relate to measuring downlink beam quality in the presence of self-interference when operating in a full duplex mode configured for concurrent transmission and reception within an overlapping bandwidth. A user equipment (UE) may communicate with a base station over one or more of a plurality of uplink beams and downlink beams. For each uplink beam, the UE may obtain beam quality measurements associated with each of the downlink beams to identify a set of usable downlink beams. The UE may further transmit a report to the base station indicating the set of usable downlink beams for at least one uplink beam.

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