公开(公告)号：US20240381232A1

公开(公告)日：2024-11-14

申请号：US18314123

申请日：2023-05-08

Applicant: NOKIA TECHNOLOGIES OY

Inventor： István Zsolt Kovács ,  Oana-Elena Barbu ,  Afef Feki ,  Dimitri Gold ,  Sakira Hassan ,  Ahmad Masri

IPC: H04W48/16 ,  H04L5/00 ,  H04W28/18

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.

公开(公告)号：US20240378488A1

公开(公告)日：2024-11-14

申请号：US18314132

申请日：2023-05-08

Applicant: NOKIA TECHNOLOGIES OY

Inventor： Sakira Hassan ,  Afef Feki ,  Endrit Dosti ,  Amaanat Ali ,  Jerediah Fevold

IPC: G06N20/00

Abstract: A method includes receiving, by a user device, a machine learning model policy associated with model update, wherein the machine learning model policy comprises at least one of the following: difference information for a machine learning model with respect to model structure or model configuration parameters; difference information with respect to one or more weights or biases of the machine learning model; or difference information with respect to one or more layers of the machine learning model; carrying out updating of the machine learning model according to the machine learning model policy; and transmitting, by the user device to a network node, information on at least one change to the machine learning model caused by the updating, for reducing overhead with respect to transmitting a full updated version of the machine learning model.