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    DISTORTION PROBING REFERENCE SIGNAL CONFIGURATION
    23.
    发明公开
    DISTORTION PROBING REFERENCE SIGNAL CONFIGURATION 审中-公开

    公开(公告)号：US20230246775A1

    公开(公告)日：2023-08-03

    申请号：US18194479

    申请日：2023-03-31

    Applicant: QUALCOMM Incorporated

    Inventor： Hung Dinh LY ,  June Namgoong ,  Taesang YOO ,  Krishna Kiran MUKKAVILLI ,  Naga BHUSHAN ,  Tingfang Ji ,  Hwan Joon Kwon ,  Pavan Kumar VITTHALADEVUNI ,  Jay Kumar SUNDARARAJAN

    IPC: H04L5/00 ,  H04B17/309

    CPC classification number: H04L5/0048 ,  H04B17/309

    Abstract: Methods, systems, and devices for wireless communications are described. A configuration for a reference signal used to determine a non-linear behavior of transmission components at a transmitting device may be determined. The configuration for the reference signal may be determined based on signaling transmitted by the transmitting device, signaling transmitted by a device that receives the reference signal, or both. Additionally, or alternatively, the configuration for the reference signal may be determined based on a configuration of other signals transmitted by the transmitting device prior to or concurrently with the transmission of the reference signal. The determined configuration may be used to generate and transmit the reference signal or to determine a configuration of a received reference signal. In both cases, a non-linear response of transmission components at the transmitting device may be determined based on the reference signal.

    USER EQUIPMENT PARTICIPATION INDICATIONS ASSOCIATED WITH FEDERATED LEARNING
    26.
    发明申请
    USER EQUIPMENT PARTICIPATION INDICATIONS ASSOCIATED WITH FEDERATED LEARNING 有权

    公开(公告)号：US20230080218A1

    公开(公告)日：2023-03-16

    申请号：US17447668

    申请日：2021-09-14

    Applicant: QUALCOMM Incorporated

    Inventor： Hamed PEZESHKI ,  Taesang YOO ,  Tao LUO ,  Eren BALEVI

    IPC: H04W72/04 ,  G06N5/02

    Abstract: Various aspects of the present disclosure generally relate to wireless communication. In some aspects, a user equipment (UE) may receive, from a base station, a federated learning configuration that configures a participation indication to be used by the UE to indicate a participation status of the UE associated with at least one federated learning round corresponding to a machine learning component. The UE may transmit the participation indication to the base station based at least in part on the federated learning configuration. Numerous other aspects are described.

    GENERALIZED NEURAL NETWORK ARCHITECTURES BASED ON FREQUENCY AND/OR TIME DIVISION
    27.
    发明申请
    GENERALIZED NEURAL NETWORK ARCHITECTURES BASED ON FREQUENCY AND/OR TIME DIVISION 有权

    公开(公告)号：US20230007530A1

    公开(公告)日：2023-01-05

    申请号：US17365510

    申请日：2021-07-01

    Applicant: QUALCOMM Incorporated

    Inventor： Pavan Kumar VITTHALADEVUNI ,  Taesang YOO ,  Naga BHUSHAN

    IPC: H04W28/06 ,  H04W24/10 ,  G06N20/20

    Abstract: Certain aspects of the present disclosure provide techniques for measurement encoding and decoding using neural networks to compress and decompress measurement data. One example method generally includes: generating, via each of a plurality of neural network encoders operating on measurement data, a compressed measurement based on a respective portion of the measurement data, wherein each of the neural network encoders is based on the same neural network model; generating at least one message indicative of the measurement data based on the compressed measurements; and transmitting the at least one message.

    ARCHITECTURES FOR TEMPORAL PROCESSING ASSOCIATED WITH WIRELESS TRANSMISSION OF ENCODED DATA
    29.
    发明申请
    ARCHITECTURES FOR TEMPORAL PROCESSING ASSOCIATED WITH WIRELESS TRANSMISSION OF ENCODED DATA 有权

    公开(公告)号：US20220284267A1

    公开(公告)日：2022-09-08

    申请号：US17193974

    申请日：2021-03-05

    Applicant: QUALCOMM Incorporated

    Inventor： Pavan Kumar VITTHALADEVUNI ,  Taesang YOO ,  Naga BHUSHAN

    IPC: G06N3/04 ,  H04B7/06

    Abstract: Various aspects of the present disclosure generally relate to wireless communication. In some aspects, a transmitting wireless communication device may encode a data set using a single shot encoding operation and a temporal processing operation associated with at least one neural network to produce an encoded data set, wherein a dimensionality of a subset of inputs of a set of inputs to the temporal processing operation is greater than a dimensionality of the encoded data set. The transmitting wireless communication device may transmit the encoded data set to a receiving wireless communication device. Numerous other aspects are described.

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