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    FUNCTIONALITY BASED TWO-SIDED MACHINE LEARNING OPERATIONS
    31.
    发明公开
    FUNCTIONALITY BASED TWO-SIDED MACHINE LEARNING OPERATIONS 审中-公开

    公开(公告)号：US20240276241A1

    公开(公告)日：2024-08-15

    申请号：US18408060

    申请日：2024-01-09

    Applicant: QUALCOMM Incorporated

    Inventor： Rajeev KUMAR ,  Eren BALEVI ,  Srinivas YERRAMALLI ,  Taesang YOO ,  Naga BHUSHAN

    IPC: H04W24/02 ,  H04L41/16

    CPC classification number: H04W24/02 ,  H04L41/16

    Abstract: An apparatus, method and computer-readable media are disclosed for performing wireless communications. For example, a process for wireless communications is provided. The process can include receiving a first set of operations supported by one or more machine learning models of a network entity, receiving a first set of parameters associated with the first set of operations, wherein the first set of parameters are supported by the one or more machine learning models of the network entity, selecting a machine learning model for performing a first operation of the first set of operations based on the first set of parameters, detecting a change in at least one of: the first operation, or a parameter associated with the first operation, and transmitting an indication to change the first operation based on the detected change.

    DIRECT DATA COLLECTION SOLUTION FROM CORE NETWORK TO RADIO ACCESS NETWORK
    32.
    发明公开
    DIRECT DATA COLLECTION SOLUTION FROM CORE NETWORK TO RADIO ACCESS NETWORK 审中-公开

    公开(公告)号：US20240236732A1

    公开(公告)日：2024-07-11

    申请号：US18558727

    申请日：2021-07-29

    Applicant: QUALCOMM Incorporated

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

    IPC: H04W24/08

    CPC classification number: H04W24/08

    Abstract: Aspects presented herein may enable a network entity (e.g., a consumer network entity) to request data and/or analytics (e.g., AI/ML analytics, AI/ML inference, etc.) from another network entity (e.g., a RAN) via a core network or a function associated with the network (e.g., an NWDAF of the core network). In one aspect, a core network entity receives, from a first network entity, an analytics request. The core network entity transmits, to a second network entity, a data collection request based at least in part on the analytics request. The core network entity receives, from the second network entity, a data collection response based on the data collection request. The core network entity transmits, to the first network entity, an analytics response based at least in part on the data collection response.

    QUALITY OF EXPERIENCE RELEASE WHEN A USER EQUIPMENT MOVES OUT OF AREA SCOPE
    33.
    发明公开
    QUALITY OF EXPERIENCE RELEASE WHEN A USER EQUIPMENT MOVES OUT OF AREA SCOPE 审中-公开

    公开(公告)号：US20240224347A1

    公开(公告)日：2024-07-04

    申请号：US18567457

    申请日：2022-08-10

    Applicant: QUALCOMM Incorporated

    Inventor： Jianhua LIU ,  Shankar KRISHNAN ,  Xipeng ZHU ,  Rajeev KUMAR

    IPC: H04W76/10 ,  H04W76/30 ,  H04W80/10

    CPC classification number: H04W76/10 ,  H04W76/30 ,  H04W80/10

    Abstract: Various aspects of the present disclosure generally relate to wireless communication. In some aspects, a user equipment (UE) may initiate a quality of experience (QoE) session for a QE configuration at an application layer of the UE. The UE may provide, from the application to a radio resource control (RRC) layer of the UE, a session start or stop indication based at least in part on initiating the QoE session. The indication may include at least one of a service type, an RRC level identifier, a QoE reference, or a QoE measurement collection. The UE may provide, to a base station and based at least in part on the indication, information indicating the service type, the RRC level identifier, the QoE reference, or the QoE measurement collection. Numerous other aspects are described.

    IDENTIFIER CONFIGURATION TO SUPPORT QUALITY OF EXPERIENCE MEASUREMENTS
    34.
    发明公开
    IDENTIFIER CONFIGURATION TO SUPPORT QUALITY OF EXPERIENCE MEASUREMENTS 审中-公开

    公开(公告)号：US20240172027A1

    公开(公告)日：2024-05-23

    申请号：US18551312

    申请日：2021-05-08

    Applicant: QUALCOMM INCORPORATED

    Inventor： Jianhua LIU ,  Xipeng ZHU ,  Shankar KRISHNAN ,  Rajeev KUMAR

    IPC: H04W24/10 ,  H04L69/321

    CPC classification number: H04W24/10 ,  H04L69/321

    Abstract: Various aspects of the present disclosure generally relate to wireless communication. In some aspects, a user equipment (UE) may receive, from a base station, a quality of experience (QoE) configuration message that includes an access stratum identifier, wherein the access stratum identifier is a shortened version of an application-level identifier associated with one or more QoE configurations. The UE may obtain application layer QoE measurements. The UE may transmit, to the base station, a QoE report that includes the application layer QoE measurements, wherein the QoE report includes the access stratum identifier to indicate that the QoE report is associated with the application-level identifier or the one or more QoE configurations. Numerous other aspects are described.

    MODEL UPDATE TECHNIQUES IN WIRELESS COMMUNICATIONS
    35.
    发明公开
    MODEL UPDATE TECHNIQUES IN WIRELESS COMMUNICATIONS 审中-公开

    公开(公告)号：US20240154710A1

    公开(公告)日：2024-05-09

    申请号：US18446334

    申请日：2023-08-08

    Applicant: QUALCOMM Incorporated

    Inventor： Rajeev KUMAR ,  Taesang YOO

    IPC: H04B17/391

    CPC classification number: H04B17/3913 ,  H04B17/3912

    Abstract: Methods, systems, and devices for wireless communications are described that provide for machine learning model generalization in which a machine learning model may be initially configured for a first set of conditions, and the machine learning model may be generalized to apply to one or more conditions that are outside of the first set of conditions. A network entity may provide a user equipment (UE) with one or more machine learning models, the first set of conditions, and information for model evaluation in which one or more key performance indicators (KPIs) may be evaluated for conditions outside of the first set of conditions. The UE may measure the KPIs, and transmit an evaluation report to the network entity that indicates the KPIs for the identified condition. The network entity may generalize the corresponding model based on the reported KPIs, and provide an updated machine learning model.

    MODEL GENERALIZATION
    36.
    发明公开
    MODEL GENERALIZATION 审中-公开

    公开(公告)号：US20240098484A1

    公开(公告)日：2024-03-21

    申请号：US18331718

    申请日：2023-06-08

    Applicant: QUALCOMM Incorporated

    Inventor： Rajeev KUMAR ,  Aziz GHOLMIEH

    IPC: H04W8/24 ,  H04W36/36 ,  H04W76/10

    CPC classification number: H04W8/24 ,  H04W36/36 ,  H04W76/10 ,  H04W84/042

    Abstract: Various aspects of the present disclosure generally relate to wireless communication. In some aspects, a user equipment (UE) may obtain generalization information associated with a model, a model structure (MS), or a parameter set (PS) associated with the model. The UE may initiate a connection to a network node. The UE may filter the model, the MS, or the PS based at least in part on the generalization information. The UE may transmit UE capability information to the network node, based at least in part on filtering the model, the MS or the PS, that indicates whether the model, the MS, or the PS is applicable, available, or supported by the UE. Numerous other aspects are described.

    AI/ML BASED MOBILITY RELATED PREDICTION FOR HANDOVER
    38.
    发明公开
    AI/ML BASED MOBILITY RELATED PREDICTION FOR HANDOVER 审中-公开

    公开(公告)号：US20230413152A1

    公开(公告)日：2023-12-21

    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 ,  H04W36/30 ,  H04L5/00

    CPC classification number: H04W36/32 ,  H04W36/30 ,  H04L5/0053

    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.

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