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    APPARATUS, METHOD AND COMPUTER PROGRAM
    1.
    发明公开
    APPARATUS, METHOD AND COMPUTER PROGRAM 审中-公开

    公开(公告)号：US20240276265A1

    公开(公告)日：2024-08-15

    申请号：US18413793

    申请日：2024-01-16

    Applicant: Nokia Technologies Oy

    Inventor： Umur KARABULUT ,  Ahmad MASRI ,  Anupam SHRIVASTAVA ,  Mustafa Cemil COSKUN

    IPC: H04W24/10 ,  H04W36/00

    CPC classification number: H04W24/10 ,  H04W36/0083

    Abstract: There is provided an apparatus comprising means for determining, at a user equipment, a difference between signal strength for a first beam of a serving cell of a network and signal strength for a second beam of the serving cell, means for providing the determined difference as an input for a machine learning model, wherein the output of the machine learning model is numerical data or categorical data, means for determining, based on the output of the machine learning model, that a measurement report should be provided to the network and means for providing the measurement report to the network.

    CORRELATION-BASED MEASUREMENT REPORTING REDUCTION
    4.
    发明公开
    CORRELATION-BASED MEASUREMENT REPORTING REDUCTION 审中-公开

    公开(公告)号：US20240306026A1

    公开(公告)日：2024-09-12

    申请号：US18599574

    申请日：2024-03-08

    Applicant: Nokia Technologies Oy

    Inventor： Ahmad MASRI ,  Afef FEKI ,  István Zsolt KOVÁCS ,  Sakira HASSAN ,  Mahmood Reza ALIZADEH ASHRAFI

    IPC: H04W24/10 ,  H04W24/08

    CPC classification number: H04W24/10 ,  H04W24/08

    Abstract: According to an aspect, there is provided an apparatus for performing the following. The apparatus performs cell-specific radio measurements for a plurality of cells or beam-specific radio measurements for a plurality of transmit beams. The apparatus evaluates correlation between results of the cell/beam-specific radio measurements and compares the correlation against one or more pre-defined correlation conditions. In response to the correlation for at least one pair of cells in the plurality of cells or for at least one pair of transmit beams in the plurality of transmit beams satisfying the one or more pre-defined correlation conditions, the apparatus filters the results of the cell-specific or beam-specific radio measurements to remove repetitions of results satisfying the one or more pre-defined correlation conditions and transmits, to another apparatus, a measurement report comprising the filtered results and information on the correlation.

    FEEDBACK FOR MACHINE LEARNING BASED NETWORK OPERATION
    6.
    发明公开
    FEEDBACK FOR MACHINE LEARNING BASED NETWORK OPERATION 审中-公开

    公开(公告)号：US20240119365A1

    公开(公告)日：2024-04-11

    申请号：US18473512

    申请日：2023-09-25

    Applicant: Nokia Technologies Oy

    Inventor： Sina KHATIBI ,  Ahmad MASRI

    IPC: G06N20/00

    CPC classification number: G06N20/00

    Abstract: Example embodiments may relate to controlling re-training of a machine learning (ML) model deployed at a device. A method may comprise: performing, by a device associated with a communication network, a task with a ML model to obtain an output, wherein the output is configured to be used for performance of a network operation of the communication network; receiving, from an access node of the communication network, feedback data indicative of a cause of a failure of the network operation; and determining, based on the feedback data, to perform at least one of the following: re-training the machine learning model for performing the task, updating at least one parameter of a non-machine learning algorithm associated with performance of the task with the machine learning model, refraining from re-training the machine learning model, or refraining from updating the at least one parameter of the non-machine learning algorithm.

    USING MACHINE LEARNING FOR DETERMINING RELAXATION OF MEASUREMENTS PERFORMED BY A USER EQUIPMENT
    8.
    发明申请
    USING MACHINE LEARNING FOR DETERMINING RELAXATION OF MEASUREMENTS PERFORMED BY A USER EQUIPMENT 有权

    公开(公告)号：US20240381152A1

    公开(公告)日：2024-11-14

    申请号：US18660760

    申请日：2024-05-10

    Applicant: Nokia Technologies Oy

    Inventor： Jian SONG ,  Daniela LASELVA ,  Ahmad MASRI ,  Teemu Mikael VEIJALAINEN ,  Hans Thomas HÖHNE ,  Amaanat ALI

    IPC: H04W24/10

    Abstract: Disclosed is a method comprising providing, to a user equipment, a first configuration that is part of a radio resource control configuration for relaxation measurements, wherein the first configuration comprises legacy hardcoded rules and measurement relaxation parameters for executing a legacy measurement relaxation procedure, receiving a request, from the user equipment, for a second configuration that is for executing a machine learning-based measurement relaxation procedure, providing, to the user equipment, the second configuration, wherein the second configuration comprises one or more of the following: one or more algorithms for deriving relaxation parameters, a length of an evaluation time period, a set of evaluation conditions that are evaluated based on the evaluation time period, reporting periodicity and signal format for reporting a status of the measurement relaxation, receiving, from the user equipment, an indication that the status of the measurement relaxation corresponds to enter.

    USER CONTEXT AWARE ML BASED CSI MEASUREMENT RELAXATION
    10.
    发明公开
    USER CONTEXT AWARE ML BASED CSI MEASUREMENT RELAXATION 审中-公开

    公开(公告)号：US20240147285A1

    公开(公告)日：2024-05-02

    申请号：US18490541

    申请日：2023-10-19

    Applicant: Nokia Technologies Oy

    Inventor： Ahmad MASRI ,  Afef FEKI ,  Amaanat ALI

    IPC: H04W24/10

    CPC classification number: H04W24/10

    Abstract: Various techniques are provided for a method including communicating, by a user equipment (UE) to a network device, a message including a measurement relaxation request, receiving, by the UE from the network device, a message including one of a measurement relaxation approval or a measurement relaxation denial, in response to receiving the measurement relaxation approval predicting, by the UE, a measurement relaxation configuration using a machine learning model, communicating, by the UE to the network device, a message including the measurement relaxation configuration, receiving, by the UE from the network device, a message including a measurement relaxation acknowledgement, and reporting, by the UE to the network device, measurements based on the measurement relaxation configuration.

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