SIGNALING FOR COORDINATION OF ML MODEL ADAPTATION FOR WIRELESS NETWORKS

    公开(公告)号:US20240381232A1

    公开(公告)日:2024-11-14

    申请号:US18314123

    申请日:2023-05-08

    Abstract: A method includes confirming, by a user device with a network node, a set of machine learning (ML) functionality adaptation parameters for the user device to perform adaptation of a ML functionality associated with at least one ML model that is used by the user device to perform a radio access network (RAN)-related function. The set of ML functionality adaptation parameters indicate at least one adaptation cycle during which the user device is to perform the ML functionality adaptation and a validity period for which the set of ML functionality adaptation parameters are valid. The method also includes performing, by the user device, adaptation of the ML functionality during the at least one adaptation cycle.

    Machine Learning Based Unnecessary Handover Avoidance

    公开(公告)号:US20240107402A1

    公开(公告)日:2024-03-28

    申请号:US17953442

    申请日:2022-09-27

    Inventor: Ahmad Masri

    CPC classification number: H04W36/0085 H04L41/16 H04L43/06 H04W24/10

    Abstract: Example embodiments of the invention provide at least a method and apparatus to perform communicating by a network node with a user equipment of a communication network a ping-pong offset prediction request message; determining a ping-pong offset prediction wherein the ping-pong offset prediction is taking into account a change in at least one of a speed, trajectory, or received signal levels from a previous serving cell; based on the determining, sending to the network node a ping-pong offset prediction, and wherein based on the ping-pong offset prediction the handover back to the previous serving cell is one of executed or not executed.

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