BOPI 04 BR / 2025 REPERTOIRE NUMERIQUE 19 ________________________________________ (11) 21868 Consulter le mémoire (51) G06N 20/00 (2023.01); H04L 41/0813 (2023.01); H04L 41/16 (2023.01); H04L 67/00 (2023.01); H04W 24/02 (2023.01); H04W 8/24 (2023.01) (21) 1202400197 - PCT/SE2021/051243 (22) 13/12/2021 (54) Managing a wireless device which has available a machine learning model that is operable to connect to a communication network. (72) SUNDBERG, Marten (SE); MOOSAVI, Reza (SE); RYDEN, Henrik (SE); LARSSON, Erik, G. (SE); ISAKSSON, Martin (SE) et TIMO, Roy (SE) (73) TELEFONAKTIEBOLAGET LM ERICSON (PUBL), SE-164 83 STOCKHOLM (SE) (74) ALEMBONG OSWALD AMIN, S/c VON SEIDELS CAMEROON SARL, Suite 516 Commercial Bank Building, Quartier Intendance (Adjacent Espace Landmark), B.P. 30188, YAOUNDE (CM). (57) A method (100) is disclosed for managing a wireless device that is operable to connect to a communication network, wherein the communication network comprises a Radio Access Network (RAN), and wherein the wireless device has available for execution a Machine Learning (ML) model that is operable to provide an output, on the basis of which a RAN operation performed by the wireless device may be configured. The method, performed by a RAN node of the communication network, comprises, on fulfilment of a trigger condition, causing an ML model Assurance Information, MAI, Request to be sent to the wireless device (110), the MAI Request comprising an indication of the ML model to which the MAI Request relates. The method further corpses receiving, from the wireless device, an MAI Response, wherein the MAI Response comprises ML model characteristic information generated by the wireless device using the ML model (120), and configuring the RAN operation performed by the wireless device according to the received MAI Response (130). Fig. 1
RkJQdWJsaXNoZXIy MTM1NDc3MA==