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    AMPLITUDE MIRRORING DETECTION USING ADDITIONAL SHARED INFORMATION
    11.
    发明申请
    AMPLITUDE MIRRORING DETECTION USING ADDITIONAL SHARED INFORMATION 有权

    公开(公告)号：US20250007766A1

    公开(公告)日：2025-01-02

    申请号：US18345267

    申请日：2023-06-30

    Applicant: QUALCOMM Incorporated

    Inventor： Tomer GEVA ,  Idan Michael HORN ,  Shay LANDIS ,  Jacob PICK ,  Peer BERGER

    IPC: H04L27/26

    Abstract: Methods, systems, and devices for wireless communications are described. A transmitting device or a receiving device may indicate support for crest factor reduction (CFR) techniques using clipping and mirroring. The transmitting device may indicate a clipping level and a mirroring level for a CFR function. The transmitting device may generate a waveform in accordance with the CFR function and may transmit the waveform to the receiving device. The receiving device may monitor the waveform to detect one or more mirrored portions of the waveform. The receiving device may invert the one or more mirrored portions of the waveform over the mirroring level to restore and decode the waveform.

    PREPROCESSING-BASED PRECODING
    12.
    发明申请
    PREPROCESSING-BASED PRECODING 有权

    公开(公告)号：US20240405831A1

    公开(公告)日：2024-12-05

    申请号：US18328393

    申请日：2023-06-02

    Applicant: QUALCOMM Incorporated

    Inventor： Jacob PICK ,  Shay LANDIS ,  Peer BERGER ,  Tomer GEVA

    IPC: H04B7/06 ,  H04B7/0456

    Abstract: Various aspects of the present disclosure generally relate to wireless communication. In some aspects, a user equipment (UE) may transmit an indication of a preprocessing matrix to be applied to received communications. The UE may receive a communication having precoding applied, the precoding based at least in part on the preprocessing matrix. Numerous other aspects are described.

    MIRRORING FOR AMPLITUDE REDUCTION
    14.
    发明公开
    MIRRORING FOR AMPLITUDE REDUCTION 审中-公开

    公开(公告)号：US20240291702A1

    公开(公告)日：2024-08-29

    申请号：US18175973

    申请日：2023-02-28

    Applicant: QUALCOMM Incorporated

    Inventor： Tomer GEVA ,  Shay LANDIS ,  Jacob PICK ,  Peer BERGER

    IPC: H04L27/26

    CPC classification number: H04L27/2623

    Abstract: Various aspects of the present disclosure generally relate to wireless communication. In some aspects, a transmitting device may generate a waveform having an original amplitude. The transmitting device may reduce a peak portion of the original amplitude that is above a mirror level according to a reduction function that is based at least in part on a difference function associated with a difference between the mirror level and the peak portion, to obtain a reduced peak amplitude for the waveform. The transmitting device may transmit the waveform with the reduced peak amplitude. Numerous other aspects are described.

    PRODUCT CODE FOR WIRELESS COMMUNICATIONS
    15.
    发明公开
    PRODUCT CODE FOR WIRELESS COMMUNICATIONS 审中-公开

    公开(公告)号：US20240250776A1

    公开(公告)日：2024-07-25

    申请号：US18156780

    申请日：2023-01-19

    Applicant: QUALCOMM Incorporated

    Inventor： Shay LANDIS ,  Peer BERGER ,  Jacob PICK

    IPC: H04L1/00

    CPC classification number: H04L1/0057 ,  H04L1/0003 ,  H04L1/005 ,  H04W72/232

    Abstract: Various aspects of the present disclosure generally relate to wireless communication and to product codes for wireless communications. Some aspects more specifically relate to enabling a Bose-Chaudhuri-Hocquenghem (BCH) product code for wireless communications. In some aspects, a transmitter and/or a receiver may flexibly select parameters for a BCH product code based on or otherwise associated with communication parameters of a wireless communication to be encoded, such as the modulation and coding scheme (MCS) and/or allocation size, among other examples. For example, the transmitter and/or the receiver may select parameters for the BCH product code to ensure that the BCH product code is designed to handle a quantity of channel bits associated with a current configuration of a channel (for example, of an uplink data channel and/or a downlink data channel) and to increase a correction capability associated with the BCH product code for the current configuration of the channel.

    MACHINE LEARNING BASED CHANNEL PRECODER SELECTION FOR DOWNLINK
    17.
    发明申请
    MACHINE LEARNING BASED CHANNEL PRECODER SELECTION FOR DOWNLINK 有权

    公开(公告)号：US20250055732A1

    公开(公告)日：2025-02-13

    申请号：US18447942

    申请日：2023-08-10

    Applicant: QUALCOMM Incorporated

    Inventor： Amit BAR-OR TILLINGER ,  Shay LANDIS ,  Idan Michael HORN ,  Jacob PICK ,  Yehonatan DALLAL

    IPC: H04L25/02 ,  H04W28/18 ,  H04W72/1273

    Abstract: Methods, systems, and devices for wireless communications are described. A user equipment (UE) may transmit neural network (NN) capability information to a network entity. The network entity may train the NN model by selecting a NN-based precoder and generating associated coefficients. The network entity may transmit an indication of the precoder coefficients to the UE. The network entity may transmit demodulation reference signals (DMRSs) that have not been precoded and a physical downlink shared channel (PDSCH) signal that has been narrowband-precoded according to the indicated precoder. The UE may then perform and input a channel estimation to the NN model. The NN model may output the narrowband precoder, which the UE may use to generate a narrowband channel estimate and demodulate the narrowband precoded PDSCH signal. In some examples, the network entity may update NN coefficients and may indicate the updated NN coefficients to the UE.

    MACHINE LEARNING (ML)-BASED DYNAMIC DEMODULATOR SELECTION
    19.
    发明公开
    MACHINE LEARNING (ML)-BASED DYNAMIC DEMODULATOR SELECTION 审中-公开

    公开(公告)号：US20230419101A1

    公开(公告)日：2023-12-28

    申请号：US17848283

    申请日：2022-06-23

    Applicant: QUALCOMM Incorporated

    Inventor： Jacob PICK ,  Assaf TOUBOUL ,  Shay LANDIS ,  Alexei Yurievitch GOROKHOV ,  Hari SANKAR ,  Peer BERGER

    IPC: G06N3/08

    CPC classification number: G06N3/08

    Abstract: A method for wireless communication by a receiving device includes predicting with an artificial neural network, at each data block of a set of data blocks, a least complex demodulator that will achieve a goal. The predicting is based on features of a data block expected to be received at the receiving device. The method also includes dynamically selecting the least complex demodulator, from a set of demodulators with different levels of complexity, based on the features of the data block expected to be received. The method further includes demodulating the data block with the selected demodulator for the data block.

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