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    Group-common reference signal for over-the-air aggregation in federated learning
    221.
    发明授权
    Group-common reference signal for over-the-air aggregation in federated learning 有权

    公开(公告)号：US12261792B2

    公开(公告)日：2025-03-25

    申请号：US17898180

    申请日：2022-08-29

    Applicant: QUALCOMM Incorporated

    Inventor： Hamed Pezeshki ,  Tao Luo ,  Taesang Yoo ,  Mahmoud Taherzadeh Boroujeni ,  Eren Balevi ,  Srinivas Yerramalli ,  Junyi Li

    IPC: H04L5/00 ,  H04W24/02 ,  H04W72/12 ,  H04W72/121

    Abstract: Aspects presented herein may enable a network entity to configure a group of UEs to simultaneously transmit reference signals and to simultaneously transmit gradient vectors to the network entity, such that the network entity may receive the gradient vectors from the group of UEs as an aggregated gradient vector over the air. In one aspect, a base transmits, to a group of UEs, a configuration that configures the group of UEs to simultaneously transmit one or more group-common reference signals and to simultaneously transmit one or more gradient vectors associated with a federated learning procedure. The network entity receives, from the group of UEs, the one or more group-common reference signals and the one or more gradient vectors based on the configuration via multiple channels. The network entity calculates an average gradient vector based on the one or more group-common reference signals and the one or more gradient vectors.

    Techniques for encoding and decoding a channel between wireless communication devices
    222.
    发明授权
    Techniques for encoding and decoding a channel between wireless communication devices 有权

    公开(公告)号：US12255714B2

    公开(公告)日：2025-03-18

    申请号：US17672525

    申请日：2022-02-15

    Applicant: QUALCOMM Incorporated

    Inventor： Eren Balevi ,  Taesang Yoo ,  June Namgoong ,  Kirty Prabhakar Vedula

    IPC: H04B7/06 ,  H04L1/00

    Abstract: Methods, systems, and devices for wireless communications are described. A user equipment (UE) may encode channel state feedback (CSF) information to compress the CSF information to a first encoding output associated with a first dimensional space, and apply entropy coding to the first encoding output of the channel state feedback information. The entropy coding may transform the first encoding output to a second encoding output associated with a second dimensional space that is smaller than the first dimensional space of the first encoding output. The UE may transmit a CSF message comprising the second encoding output. A network device may receive the CSF message and apply entropy decoding to the compressed CSF information to partially decompress the compressed CSF information to a first decoding output. The network device may decode the first decoding output to completely decompress the compressed CSF information to a second decoding output.

    Systems and methods for positioning with channel measurements
    225.
    发明授权
    Systems and methods for positioning with channel measurements 有权

    公开(公告)号：US12192947B2

    公开(公告)日：2025-01-07

    申请号：US16776871

    申请日：2020-01-30

    Applicant: QUALCOMM Incorporated

    Inventor： Lorenzo Ferrari ,  Taesang Yoo ,  Siddhartha Mallik

    IPC: H04W64/00 ,  G01S5/02 ,  G01S19/46 ,  H04B7/02 ,  H04B17/27 ,  H04W84/12

    Abstract: Position determination of a user equipment (UE) is supported using channel measurements obtained for Wireless Access Points (WAPs), wherein the channel measurements are for Line of Sight (LOS) and Non-LOS (NLOS) signals. Based on WAP almanac information and the channel measurements, channel parameters indicative of positions of signal sources relative to a first position of a UE may be determined. Using the first position of the UE and an association of the signal sources with corresponding channel parameters, a second position of the UE may be determined. The position of the UE may be a probability density function. Additionally, position information for signal sources may be determined, such as a probability density function, as well as signal blockage probability and an antenna geometry and the WAP almanac information may be updated accordingly.

    Machine learning for addressing transmit (Tx) non-linearity
    227.
    发明授权
    Machine learning for addressing transmit (Tx) non-linearity 有权

    公开(公告)号：US12156221B2

    公开(公告)日：2024-11-26

    申请号：US17181927

    申请日：2021-02-22

    Applicant: QUALCOMM Incorporated

    Inventor： June Namgoong ,  Taesang Yoo ,  Naga Bhushan ,  Krishna Kiran Mukkavilli ,  Tingfang Ji

    IPC: H04W72/04 ,  G06N3/08 ,  H04W64/00 ,  H04W72/12 ,  H04W72/23 ,  H04W72/52 ,  H04W72/54 ,  H04W84/02

    Abstract: A method of wireless communication by a transmitting device transforms a transmit waveform by an encoder neural network to control power amplifier (PA) operation with respect to non-linearities. The method also transmits the transformed transmit waveform across a propagation channel. A method of wireless communication by a receiving device receives a waveform transformed by an encoder neural network. The method also recovers, with a decoder neural network, the encoder input symbols from the received waveform. A transmitting device for wireless communication calculates distortion error based on a non-distorted digital transmit waveform and a distorted digital transmit waveform. The transmitting device also compresses the distortion error with an encoder neural network of an auto-encoder. The transmitting device transmits to a receiving device the compressed distortion error to compensate for power amplifier (PA) non-linearity.

    Signaling for additional training of neural networks for multiple channel conditions
    228.
    发明授权
    Signaling for additional training of neural networks for multiple channel conditions 有权

    公开(公告)号：US12101206B2

    公开(公告)日：2024-09-24

    申请号：US17385659

    申请日：2021-07-26

    Applicant: QUALCOMM Incorporated

    Inventor： Pavan Kumar Vitthaladevuni ,  Taesang Yoo ,  Naga Bhushan

    IPC: H04L25/02 ,  G06N3/045 ,  G06N3/08 ,  H04B17/336

    CPC classification number: H04L25/0254 ,  G06N3/045 ,  G06N3/08 ,  H04B17/336

    Abstract: A method of wireless communication by a user equipment (UE) includes receiving, from a base station, a configuration to train a neural network for multiple different signal to noise ratios (SNRs) of a channel estimate for a wireless communication channel. The method also includes determining a current SNR of the channel estimate is above a first threshold value. The method further includes training the neural network based on the channel estimate, to obtain a first trained neural network. The method still further includes perturbing the channel estimate to obtain a perturbed channel estimate, and training the neural network based on the perturbed channel estimate, to obtain a second trained neural network. The method includes reporting, to the base station, parameters of the first trained neural network along with the channel estimate, and parameters of the second trained neural network.

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