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.

公开(公告)号：US20240161012A1

公开(公告)日：2024-05-16

申请号：US18457116

申请日：2023-08-28

Applicant: QUALCOMM Incorporated

Inventor： Hamed PEZESHKI ,  Taesang YOO ,  Jay Kumar SUNDARARAJAN

IPC: G06N20/00

CPC classification number: G06N20/00

Abstract: An apparatus, method and computer-readable media are disclosed for performing wireless communications. For example, a first network device can transmit, to one or more second network devices, configuration information associated with a trained machine learning model. The first network device can receive, from the one or more second network devices, information associated with a first fine-tuned machine learning model based on adaptation of parameters of the trained machine learning model. The first network device can further output, for transmission to one or more third network devices, configuration information associated with the first fine-tuned machine learning model.

公开(公告)号：US20240133995A1

公开(公告)日：2024-04-25

申请号：US18047946

申请日：2022-10-18

Applicant: QUALCOMM Incorporated

Inventor： Mohammed Ali Mohammed HIRZALLAH ,  Srinivas YERRAMALLI ,  Yun CHEN ,  Rajat PRAKASH ,  Taesang YOO

IPC: G01S5/02

CPC classification number: G01S5/02525 ,  G01S5/0264

Abstract: In an aspect, a method performed by a network node includes obtaining a first plurality of radio frequency fingerprint positioning (RFFP) measurements corresponding to a plurality of known displacements between positions of a user equipment (UE); and training a positioning model to provide a position estimate of the UE, wherein the training of the positioning model is at least based on the first plurality of RFFP measurements and the known displacements between the positions of the UE corresponding to the first plurality of RFFP measurements.

公开(公告)号：US20240129008A1

公开(公告)日：2024-04-18

申请号：US18543390

申请日：2023-12-18

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：US20240089905A1

公开(公告)日：2024-03-14

申请号：US17932174

申请日：2022-09-14

Applicant: QUALCOMM Incorporated

Inventor： Sooryanarayanan GOPALAKRISHNAN ,  Jay Kumar SUNDARARAJAN ,  Taesang YOO ,  Naga BHUSHAN ,  Guttorm Ringstad OPSHAUG ,  Grant MARSHALL ,  Chandrakant MEHTA ,  Zongjun QI

IPC: H04W64/00 ,  G01S5/02 ,  H04W24/08

CPC classification number: H04W64/003 ,  G01S5/02526 ,  H04W24/08

Abstract: Aspects presented herein may enhance the accuracy and/or latency of UE positioning based on crowd-sourcing, where a network entity may compute a position estimate of a UE based on neighbor-cell scan data from the UE and one or more reference UEs. In one aspect, a network entity receives a first set of measurements associated with at least one cell from a UE. The network entity performs a position estimation of the UE based on at least one of the first set of measurements associated with the at least one cell, a second set of measurements for each of a set of reference UEs, or a location of each of the set of reference UEs via an ML model, where the UE and the set of reference UEs include at least one common cell.

公开(公告)号：US20240056151A1

公开(公告)日：2024-02-15

申请号：US18340732

申请日：2023-06-23

Applicant: QUALCOMM Incorporated

Inventor： June NAMGOONG ,  Yiyue CHEN ,  Taesang YOO ,  Abdelrahman Mohamed Ahmed Mohamed IBRAHIM

IPC: H04B7/06

CPC classification number: H04B7/0626 ,  H04B7/0634

Abstract: The techniques described herein utilize a machine learning algorithm to train the encoders from multiple UE vendors and a shared decoder from a gNB vendor in order to develop a universal gNB decoder that may be capable of decoding input from UEs from different UE vendors at comparable performance and overhead to different decoders that are specifically developed for each encoder.

公开(公告)号：US20240022288A1

公开(公告)日：2024-01-18

申请号：US18041038

申请日：2021-07-01

Applicant: QUALCOMM Incorporated

Inventor： Alexandros MANOLAKOS ,  June NAMGOONG ,  Taesang YOO ,  Naga BHUSHAN ,  Jay Kumar SUNDARARAJAN ,  Pavan Kumar VITTHALADEVUNI ,  Krishna Kiran MUKKAVILLI ,  Hwan Joon KWON ,  Tingfang JI

IPC: H04B7/0417

CPC classification number: H04B7/0417

Abstract: Various aspects of the present disclosure relate to wireless communication. In some aspects, a client may receive an observed environmental vector feedback configuration associated with a reporting procedure for reporting updates corresponding to at least one observed environmental vector that is based at least in part on one or more features associated with an environment of the client, wherein the observed environmental vector comprises input for a first machine learning component that determines client specific parameters for use by a second machine learning component. The client may transmit an update corresponding to the at least one observed environmental vector based at least in part on the observed environmental vector feedback configuration. Numerous other aspects are provided.

公开(公告)号：US20240019528A1

公开(公告)日：2024-01-18

申请号：US17813279

申请日：2022-07-18

Applicant: QUALCOMM Incorporated

Inventor： Marwen ZORGUI ,  Srinivas YERRAMALLI ,  Taesang YOO

IPC: G01S5/02

CPC classification number: G01S5/02521 ,  G01S5/0263

Abstract: In an aspect, a method of wireless communication performed by a user equipment (UE) includes determining that a positioning model error instance has occurred during a positioning occasion based on 1) a position uncertainty associated with a first position estimate satisfying positioning uncertainty error criteria, wherein the first position estimate is obtained during the positioning occasion by applying a first positioning model to radio frequency fingerprint (RFFP) measurements, 2) a positioning mismatch between the first position estimate of the UE and a second position estimate of the UE satisfying position mismatch error criteria, wherein the second position estimate of the UE is obtained during the positioning occasion by performing a positioning technique that does not use the first positioning model, or 3) any combination thereof; and determining that the first positioning model has failed based on a number of positioning model error instances satisfying positioning model failure criteria.