COMMUNICATION FUNCTIONALITY VALIDATION

    公开(公告)号:US20250056244A1

    公开(公告)日:2025-02-13

    申请号:US18797517

    申请日:2024-08-08

    Abstract: Embodiments of the present disclosure relate to apparatuses, methods, devices and computer readable storage medium for communication functionality validation. In a method, a first apparatus receives, from a second apparatus, a first performance metric of a first outcome of a communication functionality based on a first set of communication parameters. The first apparatus receives, from the second apparatus, a reference performance metric of a reference outcome of the communication functionality based on a set of reference communication parameters. The first apparatus validates the communication functionality based on a threshold and a first difference between the first performance metric and the reference performance metric.

    METHOD OF DATA EXCHANGE FOR MAINTAINACE OF ARTIFICIAL INTELLEGENCE OR MACHINE LEARNING MODELS IN WIRELESS COMMUNICATION

    公开(公告)号:US20240283709A1

    公开(公告)日:2024-08-22

    申请号:US18404193

    申请日:2024-01-04

    CPC classification number: H04L41/16

    Abstract: In accordance with example embodiments of the invention there is at least a method an apparatus to perform receiving or sending, between a network node of a communication network, and a user equipment information comprising a service request for a dedicated bearer for data exchange of at least one of machine learning or artificial intelligence related data, wherein the data exchange is for training at least one of a machine learning or an artificial intelligence model for a particular use case; communicating the information with the communication network; handling control over at least one of an artificial intelligence or machine learning related data exchange through a machine learning-dedicated bearer, wherein the artificial intelligence or machine learning related data exchange comprises: data collection, model transfer, and life cycle Management for at least one of a machine learning model or machine learning functionality control signalling.

    Apparatuses, Methods and Computer Program Using Channel Measurement Data for a Primary Component Carrier

    公开(公告)号:US20230055959A1

    公开(公告)日:2023-02-23

    申请号:US17794310

    申请日:2020-01-24

    Abstract: An apparatus, method and computer program is described including: obtaining first channel measurement data for a primary component carrier used for communications between a device and a network node of a mobile communication system; providing the first channel measurement data as an input to an algorithm to obtain a first embedding output; comparing the first embedding output with embedding outputs of a plurality of reference channel measurement data input to said algorithm to identify a closest reference channel measurement data to the first channel measurement data; identifying a set of reference channel information associated with the identified closest reference channel measurement data, wherein the identified set of reference channel information includes a carrier aggregation policy defining one or more secondary communication channels; and setting a carrier aggregation policy for the primary component carrier in accordance with the carrier aggregation policy.

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