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.

公开(公告)号：US20240323870A1

公开(公告)日：2024-09-26

申请号：US18732407

申请日：2024-06-03

Applicant: QUALCOMM Incorporated

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

IPC: H04W52/50 ,  H04W4/06 ,  H04W52/22 ,  H04W52/24 ,  H04W52/36

CPC classification number: H04W52/50 ,  H04W4/06 ,  H04W52/225 ,  H04W52/242 ,  H04W52/36

Abstract: A parameter server located at a base station may coordinate federated learning among multiple user equipment (UEs) using over-the-air (OTA) aggregation with power control to mitigate aggregation distortion due to amplitude misalignment. The parameter server may select a first group of UEs for a first OTA aggregation session of a federated learning round based on a common received power property of each UE in the first group of UEs. The parameter server may transmit a global model to the first group of UEs. Each UE in the first group may train the global model based on a local dataset and transmit values associated with the trained local model. The parameter server may receive, on resource elements for the first group of UEs, a first aggregate amplitude modulated analog signal representing a combined response from the first group of UEs.

公开(公告)号：US20240314606A1

公开(公告)日：2024-09-19

申请号：US18185940

申请日：2023-03-17

Applicant: QUALCOMM Incorporated

Inventor： Hua WANG ,  Tao LUO ,  Taesang YOO ,  Junyi LI

IPC: H04W24/10 ,  H04B17/318 ,  H04B17/336

CPC classification number: H04W24/10 ,  H04B17/328 ,  H04B17/336

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 reference signal associated with a beam management. The UE may perform a layer 1 (L1) reference signal received power (RSRP) or an L1 signal-to-interference-plus-noise ratio (SINR) (RSRP/SINR) measurement based at least in part on the reference signal. The UE may determine, based at least in part on a search of a lookup table (LUT), an entry in the LUT that corresponds to the L1 RSRP/SINR measurement. The UE may transmit, to the network node, an L1 RSRP/SINR measurement report that indicates the entry in the LUT. Numerous other aspects are described.

公开(公告)号：US20240289687A1

公开(公告)日：2024-08-29

申请号：US18434080

申请日：2024-02-06

Applicant: QUALCOMM Incorporated

Inventor： Rajeev KUMAR ,  Aziz GHOLMIEH ,  Taesang YOO ,  Eren BALEVI

IPC: G06N20/00

CPC classification number: G06N20/00

Abstract: Various aspects of the present disclosure generally relate to wireless communication. In some aspects, a user equipment (UE) may transmit an indication of functionalities associated with artificial intelligence or machine learning (AI/ML) models supported by the UE. The UE may receive one or more AI/ML models associated with the functionalities. Numerous other aspects are described.

公开(公告)号：US20240267725A1

公开(公告)日：2024-08-08

申请号：US18514178

申请日：2023-11-20

Applicant: QUALCOMM Incorporated

Inventor： Jay Kumar SUNDARARAJAN ,  Eren BALEVI ,  Taesang YOO ,  Rajeev KUMAR ,  Aziz GHOLMIEH

IPC: H04W8/24 ,  H04W24/02

CPC classification number: H04W8/24 ,  H04W24/02

Abstract: Certain aspects of the present disclosure provide techniques for exchanging information between user equipments (UEs) and network entities regarding which models the UEs and network entities support. A method that may be performed by a UE includes: obtaining an indication of one or more machine learning (ML) based network-side models applicable at a network entity; and transmitting signaling indicating one or more of the ML-based network-side models supported by the UE.

公开(公告)号：US20240265306A1

公开(公告)日：2024-08-08

申请号：US18525577

申请日：2023-11-30

Applicant: QUALCOMM Incorporated

Inventor： Eren BALEVI ,  Taesang YOO ,  Jay Kumar SUNDARARAJAN ,  Rajeev KUMAR ,  Aziz GHOLMIEH

IPC: G06N20/00 ,  H04W24/02

CPC classification number: G06N20/00 ,  H04W24/02

Abstract: A method for wireless communication by a user equipment (UE) includes collaborating with a network device in accordance with a selected network-UE collaboration level of a number of network-UE collaboration levels for machine learning operations. At least one of the network-UE collaboration levels comprises a number of sub-categories. The UE may transmit an indication of a level of support for the selected network-UE collaboration level. The sub-categories may correspond to a life cycle management type and a model transfer/delivery format. The UE may also receive a machine learning configuration based on the level of support.

公开(公告)号：US20240223465A1

公开(公告)日：2024-07-04

申请号：US18415896

申请日：2024-01-18

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.