公开(公告)号：US12238602B2

公开(公告)日：2025-02-25

申请号：US17808072

申请日：2022-06-21

Applicant: QUALCOMM Incorporated

Inventor： Xipeng Zhu ,  Ozcan Ozturk ,  Punyaslok Purkayastha ,  Rajeev Kumar ,  Shankar Krishnan

IPC: H04W36/32 ,  H04L5/00 ,  H04W36/30

Abstract: A source network node and a UE may obtain at least one mobility related prediction associated with the UE or at least one target network node, the at least one mobility related prediction being derived by at least one neural network, and the source network node may handover the UE from the source network node to the at least one target network node based on the at least one mobility related prediction. The target network node may receive the handover request, obtain at least one mobility related prediction associated with the UE or the target network node, and output for transmission a handover request ACK, the handover request ACK based at least in part on the at least one mobility related prediction.

公开(公告)号：US12185423B2

公开(公告)日：2024-12-31

申请号：US17659129

申请日：2022-04-13

Applicant: QUALCOMM Incorporated

Inventor： Xipeng Zhu ,  Gavin Bernard Horn ,  Taesang Yoo ,  Rajeev Kumar ,  Shankar Krishnan ,  Aziz Gholmieh

IPC: H04W8/22 ,  G06N20/00 ,  H04W24/02 ,  H04W28/16

Abstract: Various aspects of the present disclosure generally relate to wireless communication. In some aspects, a user equipment (UE) may transmit capability information that indicates support for one or more model combinations of machine learning (ML) models, wherein the capability information further indicates one or more performance parameters of an ML model of the ML models with respect to a model combination of the one or more model combinations that includes the ML model. The UE may receive one or more indications to use one or more of the ML models based at least in part on the capability information. Numerous other aspects are described.

公开(公告)号：US12160764B2

公开(公告)日：2024-12-03

申请号：US17478214

申请日：2021-09-17

Applicant: QUALCOMM Incorporated

Inventor： Shankar Krishnan ,  Xipeng Zhu ,  Prasad Reddy Kadiri ,  Rajeev Kumar ,  Xiaoxia Zhang

IPC: H04W24/10 ,  H04W4/06 ,  H04W36/08

Abstract: Methods, systems, and devices for wireless communication are described. A user equipment (UE) may receive control signaling indicating a measurement configuration for minimization of drive test measurement and reporting supporting broadcast receptions within a single-frequency network. The UE may determine, based at least in part on the measurement configuration, a set of measurements for the single-frequency network. The UE may transmit a minimization of drive test report indicating the set of measurements.

公开(公告)号：US12004032B2

公开(公告)日：2024-06-04

申请号：US17398876

申请日：2021-08-10

Applicant: QUALCOMM Incorporated

Inventor： Rajeev Kumar ,  Punyaslok Purkayastha ,  Ozcan Ozturk ,  Aziz Gholmieh

IPC: H04W36/00 ,  H04W36/30

CPC classification number: H04W36/00837 ,  H04W36/0061 ,  H04W36/305

Abstract: Aspects of the present disclosure provide apparatus, methods, processing systems, and computer readable mediums for a nested conditional mobility procedure. In some cases, a method for wireless communications by a UE generally includes receiving configuration information configuring the UE for conditional handover (CHO) from a source master node (S-MN) to a target master node (T-MN) and for conditional primary secondary cell (PSCell) addition or change (CPAC) and performing a nested procedure based on an evaluation of conditions for both CHO and CPAAC in accordance with the configuration information.

公开(公告)号：US11968563B2

公开(公告)日：2024-04-23

申请号：US17371998

申请日：2021-07-09

Applicant: QUALCOMM Incorporated

Inventor： Shankar Krishnan ,  Xipeng Zhu ,  Rajeev Kumar ,  Gavin Bernard Horn

IPC: H04W28/086 ,  H04W24/10 ,  H04W28/02 ,  H04W28/08

CPC classification number: H04W28/0865 ,  H04W24/10 ,  H04W28/0284 ,  H04W28/0958

Abstract: Methods, systems, and devices for wireless communications are described. Some wireless communications system may utilize an inter-system information report message (e.g., a self-organizing network (SON) information report message) to support inter-system mobility load balancing (MLB). For example, a first node, operating in accordance with a first radio access technology (RAT), may receive an information report message from a second node operating in accordance with a second RAT. The information report message may include a periodic load reporting request information element (IE) or an event-triggered load reporting request IE. In response, the first node may determine a traffic load based on the load reporting request and transmit, to the second node, an information report message which includes one or more IEs for reporting the determined traffic load. The exchange of the load information via the IEs may enable for MLB between nodes of different RAT.

公开(公告)号：US11937114B2

公开(公告)日：2024-03-19

申请号：US17444437

申请日：2021-08-04

Applicant: QUALCOMM Incorporated

Inventor： Rajeev Kumar ,  Xipeng Zhu ,  Shankar Krishnan ,  Ozcan Ozturk ,  Masato Kitazoe ,  Gavin Bernard Horn

IPC: H04W24/10 ,  H04W24/08 ,  H04W76/10

CPC classification number: H04W24/10 ,  H04W24/08 ,  H04W76/10

Abstract: A method of wireless communication includes determining, based on a plurality of network measurements performed by a user equipment (UE), one or more measurement log files associated with the plurality of network measurements. The method further includes receiving, by the UE from a network device, a request associated with the one or more measurement log files. The request indicates at least one measurement filter. The method further includes transmitting, by the UE to the network device, a response to the request. The response includes first measurement results of the one or more measurement log files selected based on the at least one measurement filter and excludes second measurement results of the one or more measurement log files based on the at least one measurement filter.

公开(公告)号：US20230413032A1

公开(公告)日：2023-12-21

申请号：US17825946

申请日：2022-05-26

Applicant: QUALCOMM Incorporated

Inventor： Rajeev Kumar ,  Gavin Bernard Horn ,  Olufunmilola Omolade Awoniyi-Oteri ,  Aziz Gholmieh ,  Soo Bum Lee ,  Giridhar Dhati Mandyam

IPC: H04W8/18 ,  H04W12/06

CPC classification number: H04W8/183 ,  H04W12/06

Abstract: Methods, systems, and devices for wireless communication are described. A user equipment (UE) may transmit, to a network entity, a consent profile registration request, the consent profile registration request identifying a user identifier. The UE may transmit, to the network entity, a consent profile based at least in part on the consent profile registration request, the consent profile comprising one or more consent types for the user identifier that configure one or more consent parameters for the user identifier on a least a per-user basis.

公开(公告)号：US20230412470A1

公开(公告)日：2023-12-21

申请号：US17841339

申请日：2022-06-15

Applicant: QUALCOMM Incorporated

Inventor： Rajeev Kumar ,  Xipeng Zhu ,  Shankar Krishnan

IPC: H04L41/16 ,  G06N20/20

CPC classification number: H04L41/16 ,  G06N20/20 ,  H04W88/02

Abstract: Methods, systems, and devices for wireless communications are described. A user equipment (UE) may receive a message from a network entity indicating a set of machine learning models, a set of parameter sets, or both and one or more usage conditions associated with the machine learning models and parameter sets. Based on a usage condition being satisfied, the UE may select a machine learning model, a parameter set, or both for generating a machine learning inference. For example, the UE may select the machine learning model or the parameter set based on a priority, whether sufficient input data is provided, or based on other usage conditions. The UE may generate the machine learning inference using the selected machine learning model or the selected parameter set, and the UE may transmit a report indicating an output of the machine learning inference to the network entity.

公开(公告)号：US11825553B2

公开(公告)日：2023-11-21

申请号：US17308970

申请日：2021-05-05

Applicant: QUALCOMM Incorporated

Inventor： Xipeng Zhu ,  Gavin Bernard Horn ,  Taesang Yoo ,  Tingfang Ji ,  Rajeev Kumar ,  Shankar Krishnan ,  Eren Balevi ,  Aziz Gholmieh

IPC: H04W8/24 ,  H04W76/25 ,  G06N20/00 ,  H04B7/06

CPC classification number: H04W8/24 ,  G06N20/00 ,  H04B7/0626 ,  H04W76/25

Abstract: This disclosure provides systems, devices, apparatus, and methods, including computer programs encoded on storage media, for a UE capability for AI/ML. A UE may receive a request from a network to report a UE capability for at least one of an AI procedure or an ML procedure. The UE may transmit to the network, based on the request to report the UE capability, an indication of one or more of an AI capability, an ML capability, a radio capability associated with the at least one of the AI procedure or the ML procedure, or a core network capability associated with the at least one of the AI procedure or the ML procedure.

公开(公告)号：US11818806B2

公开(公告)日：2023-11-14

申请号：US17323242

申请日：2021-05-18

Applicant: QUALCOMM Incorporated

Inventor： Rajeev Kumar ,  Eren Balevi ,  Taesang Yoo ,  Xipeng Zhu ,  Gavin Bernard Horn ,  Shankar Krishnan ,  Aziz Gholmieh

IPC: H04W16/22 ,  H04W88/08 ,  G06N20/00 ,  G06F18/214

CPC classification number: H04W88/08 ,  G06F18/214 ,  G06N20/00

Abstract: This disclosure provides systems, devices, apparatus, and methods, including computer programs encoded on storage media, for an ML model training procedure. A network entity may receive a trigger to activate an ML model training procedure based on at least one of an indication from an ML model repository or a protocol of the network entity. The network entity may transmit an ML model training request to activate the ML model training at one or more nodes. The one or more nodes may be associated with a RAN that may transmit, based on receiving the ML model training request, ML model training results indicative of a trained ML model. In aspects, an apparatus, such as a UE, may train the ML model based on an ML model training configuration received from the RAN, and transmit an ML model training report indicative of the trained ML model.