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.

公开(公告)号：US20220078626A1

公开(公告)日：2022-03-10

申请号：US17463053

申请日：2021-08-31

Applicant: QUALCOMM Incorporated

Inventor： Akash Sandeep DOSHI ,  Srinivas YERRAMALLI ,  Lorenzo FERRARI ,  Taesang YOO

IPC: H04W16/14 ,  H04W24/08 ,  G06N3/08 ,  G06N3/04

Abstract: A method of wireless communication performed by a first transmission device includes determining a set of spectrum sharing parameters based on sensing performed during a sensing period of a current time slot in a fixed contention based spectrum sharing system. The first transmission device shares a spectrum with a second transmission device. The method also includes determining, at a first artificial neural network of the first transmission device, a transmission device action, and/or a transmission parameter in response to receiving the set of spectrum sharing parameters. The method further includes transmitting, from the first transmission device, to a first receiving device during a data transmission phase of the current time slot based on the transmission device action and/or the transmission parameter.

公开(公告)号：US20220070822A1

公开(公告)日：2022-03-03

申请号：US17461927

申请日：2021-08-30

Applicant: QUALCOMM Incorporated

Inventor： Arash BEHBOODI ,  Farhad GHAZVINIAN ZANJANI ,  Joseph Binamira SORIAGA ,  Lorenzo FERRARI ,  Rana Ali AMJAD ,  Max WELLING ,  Taesang YOO

IPC: H04W64/00 ,  H04B7/06 ,  H04B7/08 ,  G06N20/00

Abstract: A method of training an artificial neural network (ANN), receives, from a base station, signal information for a radio frequency signal between the base station and a user equipment (UE). The artificial neural network is trained to determine a location of the UE and to map the environment based on the received signal information and in the absence of labeled data.

公开(公告)号：US20220022056A1

公开(公告)日：2022-01-20

申请号：US17373513

申请日：2021-07-12

Applicant: QUALCOMM Incorporated

Inventor： Sungwoo PARK ,  Wooseok NAM ,  Tao LUO ,  Junyi LI ,  Juan MONTOJO ,  Jing SUN ,  Xiaoxia ZHANG ,  Peter GAAL ,  Taesang YOO ,  Simone MERLIN ,  Srinivas YERRAMALLI ,  John Edward SMEE

IPC: H04W24/02 ,  H04W28/18 ,  G01S13/00 ,  G01S7/00

Abstract: Disclosed are techniques for environment sensing. In an aspect, a transmitter base station determines a configuration for a radio frequency (RF) sensing signal, the configuration determined based at least in part on coordination among a plurality of base stations, and transmits the RF sensing signal to at least one receiver base station based on the configuration. In an aspect, a receiver base station receives a configuration for an RF sensing signal, the configuration determined based at least in part on coordination among a plurality of base stations, receives, from at least one transmitter base station, the RF sensing signal, and detects at least one target object based, at least in part, on reception of the RF sensing signal.