公开(公告)号：US20250056519A1

公开(公告)日：2025-02-13

申请号：US18794110

申请日：2024-08-05

Applicant: Nokia Technologies Oy

Inventor： Ahmad MASRI ,  Afef FEKI ,  Jian SONG ,  Vismika Maduka RANASINGHE MUDIYANSELAGE

IPC: H04W72/044 ,  H04W72/40 ,  H04W72/54 ,  H04W92/18

Abstract: The present disclosure relates to a reinforcement learning (RL) on beam management. In particular, it utilizes side links capabilities for enabling real data/traffic exchange for RL explorative training step. In this way, it enables a radio system performance friendly RL learning training operation from one side and will utilize the available radio air resources on the other side.

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.

公开(公告)号：US20240007884A1

公开(公告)日：2024-01-04

申请号：US18346052

申请日：2023-06-30

Applicant: NOKIA TECHNOLOGIES OY

Inventor： István Zsolt KOVÁCS ,  Teemu Mikael VEIJALAINEN ,  Kalle Petteri KELA ,  Jian SONG ,  Muhammad Majid BUTT

IPC: H04W24/08 ,  H04W56/00 ,  G06N3/092

CPC classification number: H04W24/08 ,  H04W56/001 ,  G06N3/092

Abstract: An apparatus of a first communication node is provide that includes: means for synchronising a common reference timing with a second communication node; means for obtaining an indication of a time window that specifies a period of time between first and second time instances; and means for configuring a machine learning-based function at the first communication node, wherein the configuration of the machine learning-based function is common between the first and second communication nodes. The apparatus further includes means for executing the machine learning-based function; and means for obtaining information by measuring a performance metric, for the machine learning-based function, during the time window. The apparatus further includes means for assigning a time identification to the measured information during the time window, wherein the time identification is associated with the common reference timing; and means for providing, to the second communication node, the measured information according to the time identification.