公开(公告)号：US20240147339A1

公开(公告)日：2024-05-02

申请号：US18493489

申请日：2023-10-24

Applicant: Nokia Technologies Oy

Inventor： Ahmad AWADA ,  Amaanat ALI ,  Halit Murat GÜRSU ,  Panagiotis SPAPIS ,  Teemu Mikael VEIJALAINEN ,  Sina KHATIBI

IPC: H04W36/36 ,  H04W36/00

CPC classification number: H04W36/362 ,  H04W36/0069

Abstract: According to example embodiment, a method may include transmitting, by a master node (MN) to a target-secondary node (T-SN), a request for the target-secondary node (T-SN) to prepare a set of one or more candidate target primary cells of a secondary cell group (candidate target PSCells) for a conditional PSCell change for the user device; and transmitting, by the master node (MN) to a source-secondary node (S-SN) that provides dual connectivity for a user device, information indicating or relating to an arrival probability of a cell change for the user device to the target-secondary node (T-SN).

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.

公开(公告)号：US20230422126A1

公开(公告)日：2023-12-28

申请号：US18254740

申请日：2020-11-30

Applicant: Nokia Technologies Oy

Inventor： Janne Tapio ALI-TOLPPA ,  Teemu Mikael VEIJALAINEN ,  Ahmad AWADA ,  Muhammad Majid BUTT

IPC: H04W36/18 ,  H04W36/32

CPC classification number: H04W36/185 ,  H04W36/322

Abstract: A method comprising: storing a received first and machine learning model instance and a received second machine learning model instance in a cache of a terminal, wherein the first machine learning model instance is associated to a first cell and configured to make, if activated, a first prediction for the terminal, and the second machine learning model instance is associated to a second cell different from the first cell and configured to make, if activated, a second prediction for the terminal; checking if a predefined first requirement is fulfilled; activating the first machine learning model instance to make the first prediction if the predefined first requirement is fulfilled; inferring a decision involving the terminal based on the first prediction if the predefined first requirement is fulfilled; inhibiting to infer the decision involving the terminal based on the second prediction if the predefined first requirement is fulfilled.

公开(公告)号：US20230269606A1

公开(公告)日：2023-08-24

申请号：US17997187

申请日：2021-04-21

Applicant: Nokia Technologies Oy

Inventor： Mikko SÄILY ,  Teemu Mikael VEIJALAINEN

IPC: H04W24/02 ,  H04W24/10

CPC classification number: H04W24/02 ,  H04W24/10

Abstract: A method, apparatus, and a computer-readable storage medium are provided for a machine learning (ML) model based radio resource management. In one example embodiment, the method may include a network node defining a validity area and a measurement group for at least a ML model for one or more user equipments and transmitting the validity area and the measurement group of the at least one ML model to the user equipment.