公开(公告)号：US20250106650A1

公开(公告)日：2025-03-27

申请号：US18473167

申请日：2023-09-22

Applicant: QUALCOMM Incorporated

Inventor： Rajeev KUMAR ,  Aziz GHOLMIEH ,  Gavin Bernard HORN ,  Miguel GRIOT

IPC: H04W24/02 ,  H04W8/24 ,  H04W24/10

Abstract: Methods, systems, and devices for wireless communications are described. A network entity may obtain a first message indicating one or more artificial intelligence (AI)/machine learning (ML) capabilities of a user equipment (UE) and may further obtain, from an AI/ML service, a second message indicating one or more AI/ML service capabilities of the AI/ML service. The network entity may output a control message indicating one or more cross-node AI/ML configurations based on the one or more AI/ML capabilities of the UE and the one or more AI/ML service capabilities of the AI/ML service. The one or more cross-node AI/ML configurations may configure AI/ML functions of the UE for use with the AI/ML service. In some examples, life cycle management (LCM) procedures may be triggered by a UE, and the UE may transmit signaling associated with the LCM procedures (e.g., a request for LCM signaling or an indication of LCM).

公开(公告)号：US20250048194A1

公开(公告)日：2025-02-06

申请号：US18364382

申请日：2023-08-02

Applicant: QUALCOMM Incorporated

Inventor： Rajeev KUMAR ,  Aziz GHOLMIEH ,  Shankar KRISHNAN

IPC: H04W36/00 ,  H04L41/16

Abstract: Methods, systems, and devices for wireless communication are described. A network entity may configure a user equipment (UE) to report applicability information associated with artificial intelligence (AI) and/or machine learning (ML) functionalities and/or models. The applicability information indicates an applicability of a functionality and/or model per AI/ML-enabled feature or feature group. Based on the applicability information and a handover of the UE from a source network entity to a target network entity, the target network entity may configure a functionality and/or model. Additionally, or alternatively, the UE may be configured with a reference configuration and one or more additional configurations corresponding to respective AI/ML functionalities and/or models. The UE may apply an additional configuration based on a handover to the target network entity, the additional configuration satisfying an applicability condition, or both. Based on an indication of the applied configuration, one or more functionalities or models may be activated.

公开(公告)号：US20240357402A1

公开(公告)日：2024-10-24

申请号：US18685987

申请日：2021-10-19

Applicant: QUALCOMM Incorporated

Inventor： Jianhua LIU ,  Shankar KRISHNAN ,  Rajeev KUMAR ,  Ozcan OZTURK ,  Xipeng ZHU ,  Charles Nung LO

IPC: H04W24/10 ,  H04L41/5067 ,  H04W28/02

CPC classification number: H04W24/10 ,  H04L41/5067 ,  H04W28/0268

Abstract: Certain aspects of the present disclosure provide techniques for quality of experience (QoE) reporting in wireless communication networks. An example method performed by a user equipment (UE) includes transmitting a QoE report, including one or more QoE measurements, to a network entity and transmitting, to the network entity, connection identification information associated with the one or more QoE measurements.

公开(公告)号：US20240334317A1

公开(公告)日：2024-10-03

申请号：US18739116

申请日：2024-06-10

Applicant: QUALCOMM Incorporated

Inventor： Shankar KRISHNAN ,  Xipeng ZHU ,  Taesang YOO ,  Rajeev KUMAR ,  Gavin Bernard HORN ,  Aziz GHOLMIEH ,  Eren BALEVI

IPC: H04W48/16 ,  H04W24/10 ,  H04W48/08 ,  H04W72/542

CPC classification number: H04W48/16 ,  H04W24/10 ,  H04W48/08 ,  H04W72/542

Abstract: Methods, systems, and devices for wireless communications are described. A user equipment (UE) may communicate with a network entity within a wireless communications network. The UE may transmit a request for information to the network entity and, in response to the request, the UE may receive the requested information from the network entity. For example, the UE may request data from one or more data repositories associated with the network entity. In some examples, the information request may be associated with one or more measurements associated with operations of the network. In some instances, the UE may use a machine learning model to perform training or inference based on the information associated with the one or more measurements.

公开(公告)号：US20240284534A1

公开(公告)日：2024-08-22

申请号：US18170249

申请日：2023-02-16

Applicant: QUALCOMM Incorporated

Inventor： Bharat SHRESTHA ,  Rajeev KUMAR ,  Alberto RICO ALVARINO ,  Umesh PHUYAL

IPC: H04W76/18 ,  H04W72/0446 ,  H04W72/23

CPC classification number: H04W76/18 ,  H04W72/0446 ,  H04W72/23

Abstract: Various aspects of the present disclosure generally relate to wireless communication. In some aspects, a user equipment (UE) may receive implicit or explicit information indicating whether to include location information in an uplink message based at least in part on whether the UE is a narrowband Internet of Things (NB-IoT) UE. The UE may transmit the uplink message in accordance with the implicit or explicit information. Numerous other aspects are described.

公开(公告)号：US20240098545A1

公开(公告)日：2024-03-21

申请号：US18507529

申请日：2023-11-13

Applicant: QUALCOMM Incorporated

Inventor： Rajeev KUMAR ,  Xipeng ZHU ,  Shankar KRISHNAN ,  Gavin Bernard HORN

IPC: H04W24/10

CPC classification number: H04W24/10

Abstract: Methods, systems, and devices for wireless communications are described. A communication link between the UE and a serving base station may be established. The UE may measure, at an application layer of the UE, a set of quality of experience variables associated with different service types. The UE may measure, at an access stratum of the UE, a set of radio resource management variables associated with the communication link between the UE and the serving base station and a communication link between the UE and a corresponding set of one or more neighboring base stations associated with the communication links. The UE may transmit a measurement report to the serving base station indicating information associated with the quality of experience variables and the radio resource management variables in a multi-layer readable format.

公开(公告)号：US20230403588A1

公开(公告)日：2023-12-14

申请号：US17806453

申请日：2022-06-10

Applicant: QUALCOMM Incorporated

Inventor： Rajeev KUMAR ,  Xipeng ZHU

IPC: H04W24/10 ,  G06N20/00 ,  H04L41/16 ,  H04W24/02 ,  G06K9/62

CPC classification number: H04W24/10 ,  G06N20/00 ,  H04L41/16 ,  H04W24/02 ,  G06K9/6256

Abstract: A device in a wireless network may process information with machine learning associated with a model ID, a machine learning function, or a machine learning use case and report data via the wireless communication based on a configuration associated with the model ID, the machine learning function, or the machine learning use case. A device may provide a configuration for machine learning associated with a model ID, a machine learning function or, a machine learning use case; and may receive a report of data based on the configuration associated with the model ID, the machine learning function, or the machine learning use case.

公开(公告)号：US20230247420A1

公开(公告)日：2023-08-03

申请号：US18161507

申请日：2023-01-30

Applicant: QUALCOMM Incorporated

Inventor： Rajeev KUMAR ,  Olufunmilola Omolade AWONIYI-OTERI ,  Gavin Bernard HORN ,  Aziz GHOLMIEH ,  Soo Bum LEE ,  Marwen ZORGUI ,  Hongil KIM

IPC: H04W12/02 ,  H04W12/08

CPC classification number: H04W12/02 ,  H04W12/08

Abstract: A first network node may transmit, to a second network node, first information associated with granular user consent control. The first information may be further associated with a data processing task and a UE. The second network node may receive, from the first network node or the UE, second information associated with the granular user consent control. The second information may be further associated with the data processing task and the UE. The second network node may identify a user consent result associated with the data processing task and a user of the UE based on the granular user consent control. The user consent result may be further based on the first information or the second information. The second network node may transmit, to the first network node, the user consent result. Thereafter, the first network node may handle the data processing task based on the user consent result.

公开(公告)号：US20230027233A1

公开(公告)日：2023-01-26

申请号：US17443270

申请日：2021-07-23

Applicant: QUALCOMM Incorporated

Inventor： Rajeev KUMAR ,  Karl Georg HAMPEL ,  Gavin Bernard HORN ,  Xipeng ZHU ,  Shankar KRISHNAN

IPC: H04W40/36 ,  H04W36/30 ,  H04W74/08 ,  H04W74/02

Abstract: Various aspects of the present disclosure generally relate to wireless communication. In some aspects, an apparatus of a central or management entity of an integrated access and backhaul (IAB) network may receive a report indicating one or more of a failure associated with a communication link associated with an IAB node included in the IAB network or a quality of service (QoS) associated with the communication link. The apparatus may modify a topography of the IAB network or routing within the IAB network when the report indicates the failure associated with the communication link. The apparatus may verify a QoS associated with the IAB network when the report indicates the QoS associated with the communication link. Numerous other aspects are described.

公开(公告)号：US20220400373A1

公开(公告)日：2022-12-15

申请号：US17348522

申请日：2021-06-15

Applicant: QUALCOMM Incorporated

Inventor： Xipeng ZHU ,  Gavin Bernard HORN ,  Taesang YOO ,  Rajeev KUMAR ,  Shankar KRISHNAN ,  Aziz GHOLMIEH ,  Rajat PRAKASH ,  Eren BALEVI

IPC: H04W8/24 ,  G06N3/04 ,  G06N3/08

Abstract: Certain aspects of the present disclosure provide techniques and apparatus for determining neural network functions (NNFs) and configuring and using corresponding machine learning (ML) models for performing one or more ML-based wireless communications management procedures. An example method performed by a user equipment includes transmitting, to a base station (BS), UE capability information indicating at least one radio capability of the UE and at least one machine learning (ML) capability of the UE and receiving, from the BS based on the UE capability information, ML configuration information indicating at least one neural network function (NNF) and at least one ML model corresponding to the at least one NNF.