公开(公告)号：US12004115B2

公开(公告)日：2024-06-04

申请号：US17648239

申请日：2022-01-18

Applicant: QUALCOMM Incorporated

Inventor： Mohammed Ali Mohammed Hirzallah ,  Srinivas Yerramalli ,  Rajat Prakash ,  Taesang Yoo ,  Xiaoxia Zhang ,  Roohollah Amiri ,  Marwen Zorgui

IPC: H04W64/00 ,  H04W72/20 ,  H04W72/51

CPC classification number: H04W64/00 ,  H04W72/20 ,  H04W72/51

Abstract: In an aspect, a first user equipment (UE) obtains one or more first radio frequency fingerprint (RFFP) measurements of one or more first downlink channels received at the first UE, one or more first sidelink channels received at the first UE, or both, and determines one or more locations of a target UE based on the one or more first RFFP measurements and a machine learning module, wherein the machine learning module is trained based on previously collected RFFP measurements of one or more downlink channels, RFFP measurements of one or more uplink channels, RFFP measurements of one or more sidelink channels, locations of one or more sidelink anchor UEs, locations of one or more base stations, or any combination thereof.

公开(公告)号：US11996968B2

公开(公告)日：2024-05-28

申请号：US17394928

申请日：2021-08-05

Applicant: QUALCOMM Incorporated

Inventor： June Namgoong ,  Taesang Yoo ,  Naga Bhushan ,  Krishna Kiran Mukkavilli ,  Tingfang Ji ,  Hwan Joon Kwon ,  Pavan Kumar Vitthaladevuni ,  Jay Kumar Sundararajan

IPC: H04L27/26 ,  G06N3/045

CPC classification number: H04L27/2614 ,  G06N3/045

Abstract: Various embodiments include methods for reducing peak to average power ratio of wireless transmission waveforms, performed in transmitter circuitry of a wireless communication. Various embodiments may include receiving frequency domain data tones, transforming the frequency domain data tones to time domain data signals, generating, using a set of peak reduction tone (PRT) neural networks, time domain PRTs using the time domain data signals in which the set of PRT neural networks have been trained in conjunction with an augmentation neural network, and a receiver neural network, generating an output of the augmentation neural network based on an input of final combined time domain signals including the time domain PRTs combined with previous combined time domain signals, and generating time domain wireless transmission waveforms that include the output of the augmentation neural network combined with the final combined time domain signals.

公开(公告)号：US11979844B2

公开(公告)日：2024-05-07

申请号：US17230658

申请日：2021-04-14

Applicant: QUALCOMM Incorporated

Inventor： Hamed Pezeshki ,  Tao Luo ,  Taesang Yoo ,  Sony Akkarakaran

IPC: H04W56/00 ,  G06N20/00

CPC classification number: H04W56/006 ,  G06N20/00 ,  H04W56/001

Abstract: Various aspects of the present disclosure generally relate to wireless communication. In some aspects, an apparatus for wireless communication at a user equipment (UE) may receive assistance information indicating synchronization signal block (SSB) set information associated with a geographic area. The UE may perform a wireless communication action based at least in part on the SSB set information. Numerous other aspects are described.

公开(公告)号：US11974138B2

公开(公告)日：2024-04-30

申请号：US17478669

申请日：2021-09-17

Applicant: QUALCOMM Incorporated

Inventor： Akash Sandeep Doshi ,  Srinivas Yerramalli ,  Lorenzo Ferrari ,  Taesang Yoo

IPC: H04W16/14 ,  G06N3/08 ,  H04W24/08

CPC classification number: H04W16/14 ,  G06N3/08 ,  H04W24/08

Abstract: A method of wireless communication performed by a first transmission device incudes receiving a first set of observations from a first receiving device based on transmissions from the first transmission device to the first receiving device at a previous time slot of a fixed contention-based spectrum sharing system. The first transmission device shares a spectrum with a second transmission device. The method also includes measuring an energy level from an ongoing data transmission of the second transmission device at a current time slot. The method further includes generating, at an artificial neural network of the first transmission device, at least one of a transmission determination, a set of transmission parameters, or a combination thereof, based on a second set of observations, the energy level, and a counter. The method also includes transmitting, to the first receiving device, during the current time slot based on at least one of the transmission determination, the set of transmission parameters, or the combination thereof.

公开(公告)号：US11963219B2

公开(公告)日：2024-04-16

申请号：US17647698

申请日：2022-01-11

Applicant: QUALCOMM Incorporated

Inventor： Aleksandar Damnjanovic ,  Andrei Dragos Radulescu ,  Tamer Kadous ,  Jing Sun ,  Xiaoxia Zhang ,  Taesang Yoo

IPC: H04W74/08 ,  H04W16/14 ,  H04W74/0808 ,  H04W74/0816 ,  H04W24/10 ,  H04W28/26 ,  H04W48/16 ,  H04W72/12

CPC classification number: H04W74/0808 ,  H04W16/14 ,  H04W74/0816 ,  H04W24/10 ,  H04W28/26 ,  H04W48/16 ,  H04W72/12

Abstract: A discovery measurement timing configuration (DMTC) window reservation signal is disclosed for new radio (NR) shared spectrum (NR-SS) networks. The DMTC window is defined providing a reserved location for transmission of essential control signaling and potentially high priority traffic that may be transmitted in a prioritized manner. Access within the DMTC window may be provided with a clear channel assessment (CCA) exempt transmission (CET) option or a non-CET option. When the CET option is used, the reservation duration and period may be conveyed through the channel reservation signal. User equipments (UEs) that detect the reservation signal may re-transmit with added offset to inform neighboring base station that may not be within range of the serving base station. Base station that receive either the transmitted or re-transmitted reservation signal will refrain from communications that may interfere with the reception at the UEs.

公开(公告)号：US11956785B2

公开(公告)日：2024-04-09

申请号：US17447668

申请日：2021-09-14

Applicant: QUALCOMM Incorporated

Inventor： Hamed Pezeshki ,  Taesang Yoo ,  Tao Luo ,  Eren Balevi

IPC: H04W72/21 ,  G06N5/022

CPC classification number: H04W72/21 ,  G06N5/022

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.

公开(公告)号：US11936452B2

公开(公告)日：2024-03-19

申请号：US16805467

申请日：2020-02-28

Applicant: QUALCOMM Incorporated

Inventor： Taesang Yoo ,  Weiliang Zeng ,  Naga Bhushan ,  Krishna Kiran Mukkavilli ,  Tingfang Ji ,  Yongbin Wei ,  Sanaz Barghi

IPC: H04B7/06 ,  G06N20/00 ,  H04B7/0456

CPC classification number: H04B7/0626 ,  G06N20/00 ,  H04B7/0486 ,  H04B7/0639

Abstract: Various aspects of the present disclosure generally relate to neural network based channel state information (CSI) feedback. In some aspects, a device may obtain a CSI instance for a channel, determine a neural network model including a CSI encoder and a CSI decoder, and train the neural network model based at least in part on encoding the CSI instance into encoded CSI, decoding the encoded CSI into decoded CSI, and computing and minimizing a loss function by comparing the CSI instance and the decoded CSI. The device may obtain one or more encoder weights and one or more decoder weights based at least in part on training the neural network model. Numerous other aspects are provided.

公开(公告)号：US11916754B2

公开(公告)日：2024-02-27

申请号：US17467156

申请日：2021-09-03

Applicant: QUALCOMM Incorporated

Inventor： Xipeng Zhu ,  Gavin Bernard Horn ,  Vanitha Aravamudhan Kumar ,  Vishal Dalmiya ,  Shankar Krishnan ,  Rajeev Kumar ,  Taesang Yoo ,  Eren Balevi ,  Aziz Gholmieh ,  Rajat Prakash

IPC: H04L41/16 ,  G06N20/00 ,  H04L41/0803 ,  H04W88/08

CPC classification number: H04L41/16 ,  H04L41/0803 ,  H04W88/08 ,  G06N20/00

Abstract: Methods, systems, and devices for wireless communications are described. In some examples, a wireless communications system may support machine learning and may configure a user equipment (UE) for machine learning. The UE may transmit, to a base station, a request message that includes an indication of a machine learning model or a neural network function based at least in part on a trigger event. In response to the request message, the base station may transmit a machine learning model, a set of parameters corresponding to the machine learning model, or a configuration corresponding to a neural network function and may transmit an activation message to the UE to implement the machine learning model and the neural network function.

公开(公告)号：US11871261B2

公开(公告)日：2024-01-09

申请号：US17452697

申请日：2021-10-28

Applicant: QUALCOMM Incorporated

Inventor： June Namgoong ,  Yang Yang ,  Hyojin Lee ,  Taesang Yoo

IPC: H04W4/00 ,  H04W24/10 ,  H04B7/0456 ,  H04L5/00 ,  H04W72/23

CPC classification number: H04W24/10 ,  H04B7/0478 ,  H04B7/0482 ,  H04L5/0048 ,  H04W72/23

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：US11812338B2

公开(公告)日：2023-11-07

申请号：US17391417

申请日：2021-08-02

Applicant: QUALCOMM Incorporated

Inventor： Jay Kumar Sundararajan ,  Krishna Kiran Mukkavilli ,  Taesang Yoo ,  Naga Bhushan ,  June Namgoong ,  Pavan Kumar Vitthaladevuni ,  Tingfang Ji

IPC: H04W24/00 ,  H04W4/029 ,  H04W4/02 ,  H04W64/00 ,  H04W36/00 ,  G06N3/02 ,  H04W24/10

CPC classification number: H04W4/029 ,  G06N3/02 ,  H04W4/023 ,  H04W24/10 ,  H04W36/0085 ,  H04W64/003

Abstract: In an aspect, a UE obtains information (e.g., UE-specific information) associated with a set of triggering criteria (e.g., from a server, a serving network, e.g., in conjunction with or separate from a set of neural network functions) for a set of neural network functions. The UE obtains positioning measurement data associated with a location of the UE, and processes the positioning measurement data into a respective set of positioning measurement features based at least in part upon the positioning measurement data and at least one neural network function from the set of neural network functions that is triggered by at least one triggering criterion from the set of triggering criteria. The UE reports the processed set of positioning measurement features to a network component (e.g., BS, LMF, etc.).