公开(公告)号：US20250056288A1

公开(公告)日：2025-02-13

申请号：US18784301

申请日：2024-07-25

Applicant: Nokia Technologies Oy

Inventor： Fahad SYED MUHAMMAD ,  Bharath Ramesh Kashyap ,  Wolfgang Zirwas ,  Dimitri Gold

IPC: H04W24/10 ,  H04B7/06 ,  H04L5/00 ,  H04W24/02

Abstract: Example embodiments of the present disclosure relate to obtaining of measured information and predicted information related to an Artificial Intelligence (AI)/Machine Learning (ML) model. In an example method, a first apparatus performs, during a first time period, first one or more measurements to obtain first measured information related to the first time period. The first apparatus determines, based on the first measured information, predicted information related to a second time period which is after the first time period. The first apparatus performs, during the second time period, second one or more measurements to obtain second measured information related to the second time period. The first apparatus transmits, to a second apparatus, the second measured information and the predicted information. In this way, a test mechanism framework may evaluate the prediction accuracy for AI/ML based prediction use case.

公开(公告)号：US20250055578A1

公开(公告)日：2025-02-13

申请号：US18775456

申请日：2024-07-17

Applicant: Nokia Technologies Oy

Inventor： Wolfgang ZIRWAS ,  Fahad Syed Muhammad ,  Bharath Ramesh Kashyap ,  Dimitri Gold

IPC: H04B17/318 ,  H04B17/373 ,  H04L5/00

Abstract: Embodiments of the present disclosure relate to apparatuses, methods, devices and computer readable storage medium for monitoring and testing prediction performance. The method comprising: receiving, at a first apparatus from a second apparatus, a first set of reference signals and a second set of reference signals different from the first set of reference signals; generating a predicted result for a first time period based on the first set of reference signals; generating a measured result for the first time period based on the second set of reference signals; and transmitting the predicted result and the measured result to the second apparatus.

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.