公开(公告)号：US20240259954A1

公开(公告)日：2024-08-01

申请号：US18566022

申请日：2021-08-16

Applicant: QUALCOMM Incorporated

Inventor： Yuwei REN ,  Huilin XU ,  June NAMGOONG

IPC: H04W52/14 ,  H04B7/04 ,  H04W52/24 ,  H04W72/231 ,  H04W76/20

CPC classification number: H04W52/146 ,  H04B7/04013 ,  H04W52/242 ,  H04W72/231 ,  H04W76/20

Abstract: A method of wireless communication by a user equipment (UE) includes receiving a physical downlink control channel (PDCCH) message comprising an indication of a machine learning model group. The indication is within a downlink control information (DCI) field conveyed by the PDCCH, when the PDCCH schedules data transmission for the UE. The indication is within a scheduling related field conveyed by the PDCCH, when the PDCCH does not schedule data transmission for the UE. The method further includes switching to the machine learning model group in response to receiving the PDCCH. The PDCCH may further indicate a time period for using the machine learning model group.

公开(公告)号：US20240056151A1

公开(公告)日：2024-02-15

申请号：US18340732

申请日：2023-06-23

Applicant: QUALCOMM Incorporated

Inventor： June NAMGOONG ,  Yiyue CHEN ,  Taesang YOO ,  Abdelrahman Mohamed Ahmed Mohamed IBRAHIM

IPC: H04B7/06

CPC classification number: H04B7/0626 ,  H04B7/0634

Abstract: The techniques described herein utilize a machine learning algorithm to train the encoders from multiple UE vendors and a shared decoder from a gNB vendor in order to develop a universal gNB decoder that may be capable of decoding input from UEs from different UE vendors at comparable performance and overhead to different decoders that are specifically developed for each encoder.

公开(公告)号：US20240022288A1

公开(公告)日：2024-01-18

申请号：US18041038

申请日：2021-07-01

Applicant: QUALCOMM Incorporated

Inventor： Alexandros MANOLAKOS ,  June NAMGOONG ,  Taesang YOO ,  Naga BHUSHAN ,  Jay Kumar SUNDARARAJAN ,  Pavan Kumar VITTHALADEVUNI ,  Krishna Kiran MUKKAVILLI ,  Hwan Joon KWON ,  Tingfang JI

IPC: H04B7/0417

CPC classification number: H04B7/0417

Abstract: Various aspects of the present disclosure relate to wireless communication. In some aspects, a client may receive an observed environmental vector feedback configuration associated with a reporting procedure for reporting updates corresponding to at least one observed environmental vector that is based at least in part on one or more features associated with an environment of the client, wherein the observed environmental vector comprises input for a first machine learning component that determines client specific parameters for use by a second machine learning component. The client may transmit an update corresponding to the at least one observed environmental vector based at least in part on the observed environmental vector feedback configuration. Numerous other aspects are provided.

公开(公告)号：US20240012086A1

公开(公告)日：2024-01-11

申请号：US17858573

申请日：2022-07-06

Applicant: QUALCOMM Incorporated

Inventor： Weimin DUAN ,  June NAMGOONG ,  Hyojin LEE

IPC: G01S5/02

CPC classification number: G01S5/0246 ,  G01S5/0236

Abstract: Radio frequency (RF) sensing by a sensing entity with an oscillator that introduces frequency errors is supported using dual direction bistatic sensing. The sensing entity transmits a sensing signal that is reflected by an object and received by a second sensing entity, which measures a first frequency offset that includes an oscillator error from the transmission of the sensing signal and a Doppler shift from the object. The sensing entity also receives and measures a second frequency offset of a sensing signal transmitted by the second sensing entity and reflected by the object, which includes a second frequency offset that includes an oscillator error from the reception of the sensing signal and a Doppler shift from the target object. The velocity of the object may be estimated based on a combination of the first and second frequency offsets, which cancels the oscillator error caused by the sensing entity.

公开(公告)号：US20230319617A1

公开(公告)日：2023-10-05

申请号：US18015683

申请日：2021-08-13

Applicant: QUALCOMM Incorporated

Inventor： Alexandros MANOLAKOS ,  Pavan Kumar VITTHALADEVUNI ,  Taesang YOO ,  June NAMGOONG ,  Jay Kumar SUNDARARAJAN ,  Naga BHUSHAN ,  Krishna Kiran MUKKAVILLI ,  Tingfang JI ,  Hwan Joon KWON ,  Wanshi CHEN

IPC: H04W24/10 ,  G06N3/08

CPC classification number: H04W24/10 ,  G06N3/08

Abstract: A first wireless device, such as a user equipment, generates a message indicating a processing time for at least one of training a neural network for channel state information (CSI) derivation or for reporting the CSI based on a trained neural network. The first wireless device transmits the message indicating the processing time to a second wireless device. The second wireless device may be a network entity, such as a base station, a transmission reception point, or another UE.

公开(公告)号：US20230275787A1

公开(公告)日：2023-08-31

申请号：US18004267

申请日：2021-08-13

Applicant: QUALCOMM Incorporated

Inventor： Pavan Kumar VITTHALADEVUNI ,  Alexandros MANOLAKOS ,  Taesang YOO ,  Naga BHUSHAN ,  June NAMGOONG ,  Jay Kumar SUNDARARAJAN ,  Hwan Joon KWON ,  Krishna Kiran MUKKAVILLI ,  Tingfang JI

IPC: H04L25/02 ,  G06N3/045

CPC classification number: H04L25/0254 ,  G06N3/045

Abstract: Various aspects of the present disclosure generally relate to wireless communication. In some aspects, a first device may transmit a neural network capability indication that indicates a capability of the first device associated with training at least one channel state feedback (CSF) neural network for facilitating providing CSF. The first device may receive, based at least in part on the capability of the first device, a CSF neural network configuration that indicates at least one parameter associated with the at least one CSF neural network. Numerous other aspects are provided.

公开(公告)号：US20230246694A1

公开(公告)日：2023-08-03

申请号：US18003567

申请日：2021-08-13

Applicant: QUALCOMM Incorporated

Inventor： Pavan Kumar VITTHALADEVUNI ,  Alexandros MANOLAKOS ,  Taesang YOO ,  Naga BHUSHAN ,  June NAMGOONG ,  Jay Kumar SUNDARARAJAN ,  Krishna Kiran MUKKAVILLI ,  Hwan Joon KWON ,  Tingfang JI

IPC: H04B7/06 ,  H04B7/0456 ,  H04L5/00

CPC classification number: H04B7/0645 ,  H04B7/0478 ,  H04L5/0057 ,  H04B7/0626 ,  G06N3/045

Abstract: Various aspects of the present disclosure generally relate to wireless communication. In some aspects, a first device may receive an indication to use a first number of bits to report neural network based channel state information feedback (CSF). The first device may transmit, using a second number of bits that is different from the first number of bits, a report that indicates the CSF to a second device. Numerous other aspects are provided.

公开(公告)号：US20230136354A1

公开(公告)日：2023-05-04

申请号：US17452697

申请日：2021-10-28

Applicant: QUALCOMM Incorporated

Inventor： June NAMGOONG ,  Yang YANG ,  Hyojin LEE ,  Taesang YOO

IPC: H04W24/10 ,  H04B7/0456 ,  H04W72/04 ,  H04L5/00

Abstract: Various aspects of the present disclosure generally relate to wireless communication. In some aspects, a user equipment (UE) may receive a transformer configuration that includes a transmitter neural network configured to be used to generate at least one latent vector corresponding to one or more computation tasks of a plurality of computation tasks associated with a transformer-based cross-node machine learning system. The UE may transmit the at least one latent vector based at least in part on instantiating the transmitter neural network. Numerous other aspects are described.

公开(公告)号：US20230084164A1

公开(公告)日：2023-03-16

申请号：US17801505

申请日：2020-04-17

Applicant: Bo CHEN ,  Pavan Kumar THALADEVUNI ,  Taesang YOO ,  Naga BHUSHAN ,  Jay Kumar SUNDARARAJAN ,  Ruifeng MA ,  June NAMGOONG ,  Krishna Kiran MUKKAVILLI ,  Tingfang JI ,  Hao XU ,  QUALCOMM Incorporated

Inventor： Bo CHEN ,  Pavan Kumar VITTHALADEVUNI ,  Taesang YOO ,  Naga BHUSHAN ,  Jay Kumar SUNDARARAJAN ,  Ruifeng MA ,  June NAMGOONG ,  Krishna Kiran MUKKAVILLI ,  Hao XU ,  Tingfang JI

IPC: H04B7/06

Abstract: A method of wireless communication, by a user equipment (UE), includes receiving multiple neural network training configurations for channel state feedback (CSF). Each configuration corresponds to a different neural network framework. The method also includes training each of a group of neural network decoder/encoder pairs in accordance with the received training configurations. A method of wireless communication, by a base station, includes transmitting multiple neural network training configurations to a user equipment (UE) for channel state feedback (CSF). Each configuration corresponds to a different neural network framework. The method also includes receiving a neural network decoder/encoder pair trained in accordance with the training configurations.

公开(公告)号：US20220405602A1

公开(公告)日：2022-12-22

申请号：US17352922

申请日：2021-06-21

Applicant: QUALCOMM Incorporated

Inventor： Taesang YOO ,  Kirty Prabhakar VEDULA ,  Pavan Kumar VITTHALADEVUNI ,  June NAMGOONG ,  Srinivas YERRAMALLI ,  Hamed PEZESHKI

IPC: G06N3/08 ,  H04W16/28 ,  H04B7/06 ,  H04B7/0413 ,  H04B17/391 ,  G06N3/04

Abstract: A method for wireless communication by a receiving device, includes receiving, from a transmitting device, a latent representation of a channel sequence for a wireless signal. A decoder applies a physical propagation channel model to the latent representation to reconstruct the channel sequence for the wireless signal.