公开(公告)号：US20250150855A1

公开(公告)日：2025-05-08

申请号：US18930689

申请日：2024-10-29

Applicant: QUALCOMM Incorporated

Inventor： Jay Kumar SUNDARARAJAN ,  Taesang YOO

IPC: H04W24/02 ,  H04L41/16

Abstract: Methods, systems, and devices for wireless communications are described. A first wireless device may be configured to communicate signaling with a second wireless device, an additional wireless device, or both, and perform, based on the signaling, one or more inferences using a machine learning model. The first wireless device may transmit, to the second wireless device, an indication that the machine learning model was applicable for performing the one or more inferences, and receive, from the second wireless device, control signaling indicating that the machine learning model is applicable for communications that are associated with a first set of conditions associated with the communication of the signaling, where the control signaling indicates a model identifier (ID) associated with the machine learning model, that the first set of conditions is associated with the machine learning model, or both.

公开(公告)号：US20250088239A1

公开(公告)日：2025-03-13

申请号：US18244871

申请日：2023-09-11

Applicant: QUALCOMM Incorporated

Inventor： Runxin WANG ,  Yu ZHANG ,  Jay Kumar SUNDARARAJAN ,  Taesang YOO

IPC: H04B7/06

Abstract: Certain aspects of the present disclosure provide techniques for wireless communications by an apparatus. A method includes sending signaling indicative of one or more power ratios, wherein each of the one or more power ratios is based on a transmit power for transmitting sounding reference signal (SRS) using a corresponding antenna and a receive power for receiving channel state information reference signal (CSI-RS) using the corresponding antenna, and wherein the one or more power ratios are associated with one or more antennas; sending a first CSI-RS; receiving a first SRS; receiving first channel state feedback (CSF) corresponding to the CSI-RS; and performing channel estimation based on the first CSF and the first SRS.

公开(公告)号：US20250081154A1

公开(公告)日：2025-03-06

申请号：US18461970

申请日：2023-09-06

Applicant: QUALCOMM Incorporated

Inventor： Mohammed Ali Mohammed HIRZALLAH ,  Taesang YOO ,  Srinivas YERRAMALLI

IPC: H04W64/00

Abstract: A user equipment (UE) may receive a configuration for collecting measurements to at least one of train or verify a positioning model. The UE may receive a set of positioning signals. The UE may measure the set of positioning signals. The UE may output a subset of the measured set of positioning signals to at least one of train or verify the positioning model based on the configuration. The UE may output the subset of the measured set of positioning signals by training verifying the positioning model at the UE based on the subset of the measured set of positioning signals, or by transmitting the subset of the measured set of positioning signals to at least one of train or verify the positioning model.

公开(公告)号：US20250071791A1

公开(公告)日：2025-02-27

申请号：US18941990

申请日：2024-11-08

Applicant: QUALCOMM Incorporated

Inventor： Mohamed Fouad Ahmed MARZBAN ,  Wooseok NAM ,  Tao LUO ,  Taesang YOO ,  Arumugam CHENDAMARAI KANNAN

IPC: H04W72/541 ,  H04W52/02 ,  H04W72/044 ,  H04W72/51

Abstract: Certain aspects of the present disclosure provide techniques for wireless communications by a user equipment (UE), including receiving, from a network entity, one or more parameters for performing interference prediction at the UE; predicting, for each of at least one communications resource, a predicted interference at the UE, wherein the predicted interference comprises a plurality of probability values, each probability value of the plurality of probability values being associated with a different class of a plurality of classes, each class of the plurality of classes associated with a corresponding range of interference power; and sending, to the network entity, a report based on the predicted interference.

公开(公告)号：US20250062811A1

公开(公告)日：2025-02-20

申请号：US18738268

申请日：2024-06-10

Applicant: QUALCOMM Incorporated

Inventor： June NAMGOONG ,  Akash Sandeep DOSHI ,  Taesang YOO ,  Hyojin LEE

IPC: H04B7/06 ,  H04B7/0456 ,  H04W72/0457

Abstract: Various aspects of the present disclosure generally relate to wireless communication. In some aspects, a user equipment (UE) may receive, from a network node, 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 channel state information (CSI) feedback tasks of a plurality of CSI feedback tasks associated with a transformer-based cross-node machine learning system, and 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：US20240388961A1

公开(公告)日：2024-11-21

申请号：US18320916

申请日：2023-05-19

Applicant: QUALCOMM Incorporated

Inventor： Mohammed Ali Mohammed HIRZALLAH ,  Rajat PRAKASH ,  Taesang YOO

IPC: H04W28/06 ,  H04L5/00 ,  H04W24/10

Abstract: Aspects presented herein may improve the efficiency and performance of artificial intelligence (AI)/machine learning (ML) (AI/ML) positioning by enabling a network node (e.g., a base station, a transmission reception point (TRP), etc.) to compress uplink (UL) reference signal measurements to reduce reporting overhead for the UL reference signal measurements. In one aspect, a network node performs at least one channel impulse response (CIR) measurement or at least one channel frequency response (CFR) measurement for a set of sounding reference signals (SRSs). The network node compresses the at least one CIR measurement or the at least one CFR measurement for the set of SRSs. The network node reports, for a network entity, one or more of the at least one compressed CIR measurement or the at least one compressed CFR measurement for the set of SRSs.

公开(公告)号：US20240381118A1

公开(公告)日：2024-11-14

申请号：US18696277

申请日：2022-10-19

Applicant: QUALCOMM Incorporated

Inventor： Hamed PEZESHKI ,  Tao LUO ,  Taesang YOO ,  Eren BALEVI ,  Srinivas YERRAMALLI ,  Junyi LI

IPC: H04W16/28 ,  H04L5/00 ,  H04W24/02

Abstract: Certain aspects of the present disclosure provide techniques for over-the-air (OTA) aggregation of data. Certain techniques include transmitting, to a plurality of user equipments (UEs), a first reference signal (RS) via a first transmit beam of a base station (BS), wherein the plurality of UEs and the BS share a global federated learning model: receiving, in response to the first RS, a first set of signals each carrying corresponding local gradient information of a first set of local gradient information for the global federated learning model, the first set of local gradient information comprising local gradient information calculated by each UE of multiple UEs of the plurality of UEs, the first set of local gradient information received via a first receive beam of the BS; and aggregating, in an analog domain, the first set of signals to aggregate the first set of local gradient information received from the multiple UEs.

公开(公告)号：US20240340660A1

公开(公告)日：2024-10-10

申请号：US18425999

申请日：2024-01-29

Applicant: QUALCOMM Incorporated

Inventor： Eren BALEVI ,  Taesang YOO ,  Rajeev KUMAR

IPC: H04W24/02 ,  G06N3/0455 ,  G06N3/084

CPC classification number: H04W24/02 ,  G06N3/0455 ,  G06N3/084

Abstract: Systems and techniques are disclosed for performing wireless communications. For example, a wireless device (e.g., a user equipment (UE)) can transmit (or output for transmission), to a network entity, capability information related to a first functionality supported by a set of machine learning (ML) models of the apparatus. The wireless device can receive, from the network entity, a performance target associated with the first functionality.

公开(公告)号：US20240340136A1

公开(公告)日：2024-10-10

申请号：US18295794

申请日：2023-04-04

Applicant: QUALCOMM Incorporated

Inventor： Mohammed Ali Mohammed HIRZALLAH ,  Srinivas YERRAMALLI ,  Taesang YOO

IPC: H04L5/00 ,  H04W24/10

CPC classification number: H04L5/0051 ,  H04W24/10

Abstract: A wireless device may receive a set of positioning reference signals (PRSs). The wireless device may measure the set of PRSs. The wireless device may output at least one of a set of measurements based on the measured set of PRSs, a set of labels associated with the measured set of PRSs, or assistance information associated with the measured set of PRSs for training a positioning model. In one aspect, the wireless device may transmit, to a network entity, the set of measurements for the positioning model. In another aspect, the wireless device may include the positioning model. The wireless device may train the positioning model based on at least one of the set of measurements, the set of labels, or the assistance information. The wireless device may include a user equipment (UE) or a positioning reference unit (PRU). The network entity may include a location management function (LMF).

公开(公告)号：US20240334166A1

公开(公告)日：2024-10-03

申请号：US18678132

申请日：2024-05-30

Applicant: QUALCOMM Incorporated

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

IPC: H04W4/38 ,  H04L27/26 ,  H04W72/044 ,  H04W72/0446 ,  H04W72/0453 ,  H04W72/23

CPC classification number: H04W4/38 ,  H04L27/261 ,  H04W72/0446 ,  H04W72/0453 ,  H04W72/046 ,  H04W72/23

Abstract: Disclosed are techniques for allocating resources for environment sensing. In an aspect, a base station transmits a first radar reference signal (RRS) on a first set of resources comprising first time resources, first frequency resources, first spatial resources, or any combination thereof, wherein the first set of resources is selected to enable a first user equipment (UE) to perform a first type of environment sensing, and transmits a second RRS on a second set of resources comprising second time resources, second frequency resources, second spatial resources, or any combination thereof, wherein the second set of resources is selected to enable a second UE to perform a second type of environment sensing, wherein the second set of resources is different from the first set of resources, and wherein the second type of environment sensing is different from the first type of environment sensing.