公开(公告)号：US20230232361A1

公开(公告)日：2023-07-20

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 ,  H04W72/04

CPC classification number: H04W64/00 ,  H04W72/0406 ,  H04W72/048

Abstract: Disclosed are techniques for wireless positioning. 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：US20230188302A1

公开(公告)日：2023-06-15

申请号：US18004286

申请日：2020-08-31

Applicant: QUALCOMM INCORPORATED

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

IPC: H04L5/00 ,  H04W72/231 ,  G06N3/08

CPC classification number: H04L5/0057 ,  H04L5/0048 ,  H04W72/231 ,  G06N3/08

Abstract: Methods, systems, and devices for wireless communications are described. Generally, the described techniques at a user equipment (UE) provide for efficiently reporting channel state information (CSI) to a base station with an appropriate level of accuracy. In particular, the base station may indicate a level of accuracy to the UE for reporting CSI. The UE may encode the CSI using a first neural network, and the base station may decode the CSI using a second neural network. The first and second neural networks may form a neural network pair, and the UE may train the neural network pair based on the level of accuracy indicated by the base station. For example, the base station may indicate a loss function corresponding to a level of accuracy with which CSI is to be reported by the UE, and the UE may train the neural network pair using the loss function.

公开(公告)号：US20230179953A1

公开(公告)日：2023-06-08

申请号：US17457718

申请日：2021-12-06

Applicant: QUALCOMM Incorporated

Inventor： Mohammed Ali Mohammed HIRZALLAH ,  Srinivas YERRAMALLI ,  Taesang YOO ,  Rajat PRAKASH ,  Xiaoxia ZHANG

IPC: H04W4/029 ,  H04B7/06 ,  H04B17/318

CPC classification number: H04W4/029 ,  H04B7/0617 ,  H04B17/318

Abstract: Aspects presented herein may enable an ML module to associate RF fingerprints with beam directions and/or beam features to improve the uniqueness of RF fingerprints. In one aspect, network entity may receive, from one or more wireless devices, a plurality of first RF fingerprints, each of the plurality of first RF fingerprints being associated with at least one directional feature and a location. The network entity may receive a request to determine a position of a UE based on at least one second RF fingerprint associated with the UE or captured by the UE. The network entity may estimate the position of the UE based at least in part on matching the at least one second RF fingerprint to at least one of the plurality of first RF fingerprints.

公开(公告)号：US20230113557A1

公开(公告)日：2023-04-13

申请号：US17450245

申请日：2021-10-07

Applicant: Qualcomm Incorporated

Inventor： Taesang YOO

IPC: H04W24/08 ,  H04L5/00 ,  H04B7/06

Abstract: In one aspect of the disclosure, a method, a computer-readable medium, and an apparatus are provided. The apparatus may be a user equipment (UE) or a component thereof. The apparatus may be configured to receive pilot signals from a base station on a first subset of a set of antenna ports of a channel. The apparatus may be further configured to measure a first set of values corresponding to the first subset of the set of antenna ports based on receiving the pilot signals transmitted from the base station on the first subset of the set of antenna ports. The apparatus may be further configured to derive a second set of values corresponding to a second subset of the set of antenna ports of the channel based on receiving the pilot signals on the first subset of the set of antenna ports.

公开(公告)号：US20230100253A1

公开(公告)日：2023-03-30

申请号：US17484580

申请日：2021-09-24

Applicant: QUALCOMM Incorporated

Inventor： Xipeng ZHU ,  Gavin Bernard HORN ,  Rajat PRAKASH ,  Rajeev KUMAR ,  Shankar KRISHNAN ,  Taesang YOO ,  Eren BALEVI ,  Aziz GHOLMIEH

IPC: G06N3/04 ,  H04W24/02

Abstract: A method of wireless communication by a base station includes receiving a user equipment (UE) radio capability and a UE machine learning capability. The method also includes determining a neural network function (NNF) based on the UE radio capability. The method includes determining a neural network model. The neural network model includes a model structure and a parameter set, based on the NNF, the UE machine learning capability, and a capability of a network entity. The method also includes configuring the network entity with the neural network model.

公开(公告)号：US20230054081A1

公开(公告)日：2023-02-23

申请号：US17404792

申请日：2021-08-17

Applicant: QUALCOMM Incorporated

Inventor： Hamed PEZESHKI ,  Tao LUO ,  Arumugam CHENDAMARAI KANNAN ,  Philip Aaron SISK ,  Taesang YOO ,  Mahmoud TAHERZADEH BOROUJENI

IPC: H04B7/06 ,  H04B17/318

Abstract: Certain aspects of the present disclosure provide techniques for wireless communication by a base station (BS). In some examples, the techniques include receiving, from a user equipment (UE), one or more indications of one or more actual beam strengths as measured at the UE at one or more time periods for one or more transmit beams of the BS. In some examples, the techniques include receiving, from the UE, assistance information regarding the one or more actual beam strengths.

公开(公告)号：US20230053589A1

公开(公告)日：2023-02-23

申请号：US17404777

申请日：2021-08-17

Applicant: QUALCOMM Incorporated

Inventor： Hamed PEZESHKI ,  Tao LUO ,  Arumugam CHENDAMARAI KANNAN ,  Philip Aaron SISK ,  Taesang YOO ,  Mahmoud TAHERZADEH BOROUJENI

IPC: H04W72/12 ,  H04W72/08 ,  H04W72/04 ,  H04W24/10 ,  G06N20/00

Abstract: Certain aspects of the present disclosure provide techniques for predicting a strength of a transmission beam in a communication system. In one example, the disclosure describes a user equipment (UE) receiving a quality metric from a base station (BS), the quality metric indicating one or more tolerance levels for predicted beam strength as compared to actual beam strength at the UE. In some examples, the UE may transmit, to the BS, one or more indications of actual beam strength as measured at the UE at one or more time periods for one or more transmit beams of the BS.

公开(公告)号：US20220335294A1

公开(公告)日：2022-10-20

申请号：US17694467

申请日：2022-03-14

Applicant: QUALCOMM Incorporated

Inventor： Hamed PEZESHKI ,  Tao LUO ,  Taesang YOO

IPC: G06N3/08 ,  H04W16/22

Abstract: A receiver receives, from a transmitter, a reference neural network. The receiver trains the reference neural network to obtain updated neural network parameters for the reference neural network. The receiver reports to the transmitter in response to a trigger, a difference between the updated neural network parameters and previous neural network parameters for the reference neural network. The trigger may be based on a loss function, a magnitude of the difference between the updated neural network parameters and the previous neural network parameters, and/or a difference between performance of the reference neural network with the updated neural network parameters and performance of the reference neural network with the previous neural network parameters.

公开(公告)号：US20220190990A1

公开(公告)日：2022-06-16

申请号：US17247574

申请日：2020-12-16

Applicant: QUALCOMM Incorporated

Inventor： Xipeng ZHU ,  Rajeev KUMAR ,  Shankar KRISHNAN ,  Taesang YOO ,  Mutaz Zuhier Afif SHUKAIR ,  Gavin Bernard HORN ,  Aziz GHOLMIEH ,  Luis Fernando Brisson LOPES

IPC: H04L5/00 ,  H04W24/02 ,  G06N20/00 ,  G06N3/08

Abstract: Various aspects of the present disclosure generally relate to wireless communication and training a model. In some aspects, a user equipment (UE) may receive, from a base station, configuration information for performing a BS-configured training procedure associated with optimizing a network parameter. The UE may perform the BS-configured training procedure based at least in part on the configuration information. Numerous other aspects are provided.

公开(公告)号：US20220104033A1

公开(公告)日：2022-03-31

申请号：US17447260

申请日：2021-09-09

Applicant: QUALCOMM Incorporated

Inventor： Hung Dinh LY ,  Taesang YOO ,  June NAMGOONG ,  Hwan Joon KWON ,  Krishna Kiran MUKKAVILLI ,  Tingfang JI ,  Naga BHUSHAN

IPC: H04W24/02 ,  H04L29/06 ,  H04W80/06 ,  H04L12/24 ,  H04W28/02 ,  G06N20/20

Abstract: Various aspects of the present disclosure generally relate to wireless communication. In some aspects, a client device may receive, using at least one lower layer of a wireless communication protocol stack, a machine learning component from a server device. The client device may transmit, to the server device and using the at least one lower layer, an update associated with the machine learning component, wherein transmitting the update comprises transmitting a plurality of transport blocks. Numerous other aspects are described.