公开(公告)号：US20240302483A1

公开(公告)日：2024-09-12

申请号：US18666510

申请日：2024-05-16

Applicant: NOKIA SOLUTIONS AND NETWORKS OY

Inventor： Afef FEKI ,  Veronique CAPDEVIELLE ,  Fahad SYED MUHAMMAD ,  Anna PANTELIDOU ,  Muhammad Majid BUTT

IPC: G01S5/02

CPC classification number: G01S5/02524

Abstract: Disclosed is a solution for managing a radio map based on radio fingerprinting measurements. A method comprises: acquiring a radio map of an area, the radio map based on radio frequency measurements performed between at least one access node of a wireless network and terminal devices within the area; detecting at least one gap in the radio map and determining geographical coordinates of the at least one gap; causing transmission of a message comprising at least one information element requesting for additional measurements and comprising the geographical coordinates of the at least one gap; in response to the message, receiving at least one radio frequency measurement report related to at least one terminal device and comprising radio frequency measurement data and at least one measurement location where the radio frequency measurement data has been measured; and updating the radio map on the basis of the radio frequency measurement data.

公开(公告)号：US20210320709A1

公开(公告)日：2021-10-14

申请号：US17271918

申请日：2018-09-13

Applicant: Nokia Solutions and Networks Oy

Inventor： Deepak NAYAK ,  Chandrashekhar THEJASWI ,  Suresh KALYANASUNDARAM ,  Rajeev AGRAWAL ,  Hua XU ,  Anand BEDEKAR ,  Veronique CAPDEVIELLE ,  Claudiu MIHAILESCU ,  Boris KOUASSI ,  Afef FEKI

IPC: H04B7/06 ,  G06N3/08 ,  G06N5/04 ,  H04B17/309 ,  G06N3/04

Abstract: Systems, methods, apparatuses, and computer program products for determining a grid-of-beams (GoB) are provided. One method may include collecting network data for training a neural network, train the neural network, using the collected data, to learn a non-discounted cumulative reward Q that evaluates a benefit of including a given beam into a grid-of-beams (GoB), iteratively applying the trained neural network to select at least one optimal beam to include in the grid-of-beams (GoB), and selecting one or more beams from the grid-of-beams (GoB) to transmit to a user equipment or to receive transmission from the user equipment.

公开(公告)号：US20210297928A1

公开(公告)日：2021-09-23

申请号：US17203875

申请日：2021-03-17

Applicant: Nokia Solutions and Networks Oy

Inventor： Udaya Raju CHOWTA ,  Bertold DICKHAUS ,  Fahad SYED MUHAMMAD ,  Afef FEKI ,  Veronique CAPDEVIELLE

IPC: H04W40/32 ,  H04W80/02 ,  G06N20/00 ,  H04W76/15

Abstract: An apparatus comprises means for performing, at a CU of a master node: receiving an individual PDU from one or more incoming PDUs, wherein each PDU is to be transmitted to a UE via one amongst respective paths towards at least one DU of the master node and at least one secondary node, the UE being in DC or MC with the master node and the at least one secondary node; collecting a respective data set for each of the paths; receiving, from a ML model inputting each data set, a respective estimated delay of transmission for each of the paths; selecting, from each of the paths, a path based on the estimated delay of transmission; and transmitting the PDU to the UE via the selected path.

公开(公告)号：US20210289406A1

公开(公告)日：2021-09-16

申请号：US17188264

申请日：2021-03-01

Applicant: NOKIA SOLUTIONS AND NETWORKS OY

Inventor： Afef FEKI ,  Wael MOTAMED ,  Veronique CAPDEVIELLE ,  Jean-Michel PUGEAT ,  Claudiu MIHAILESCU

IPC: H04W36/00 ,  H04W36/24 ,  G06N20/00

Abstract: Disclosed is a method comprising obtaining a plurality of handover parameter values, using a first machine learning model to select a subset of handover parameter values from the plurality of handover parameter values, obtaining historical information of a plurality of terminal devices, determining a first set of optimal handover parameter values for the plurality of terminal devices from the subset of handover parameter values, tagging the first set of optimal handover parameter values with the historical information of the plurality of terminal devices to obtain a labelled dataset, and training a second machine learning model with the labelled dataset, wherein the trained second machine learning model is capable of predicting a second set of optimal handover parameter values for a first terminal device based on historical information of the first terminal device.

公开(公告)号：US20220007218A1

公开(公告)日：2022-01-06

申请号：US17290001

申请日：2018-10-30

Applicant: Nokia Solutions and Networks Oy

Inventor： Nidham BEN RACHED ,  Veronique CAPDEVIELLE ,  Philippe PICQUET ,  Afef FEKI

IPC: H04W24/08 ,  H04B7/0413 ,  H04W72/04

Abstract: Apparatuses, methods and computer programs are described comprising: receiving user equipment downlink power measurements from a one or more base stations of a communication system, wherein the or each base station provides a plurality of user equipment downlink power measurements for user equipment in communication with said base station; determining inter-beam interference for measurements multiple directive beams of the or each base station based on the user equipment download power measurements; and assigning one or more beams to one or more clusters such that, for all beams within a cluster, inter-beam interference is below a threshold, wherein beams within a cluster share time and/or frequency resources.

公开(公告)号：US20210083737A1

公开(公告)日：2021-03-18

申请号：US17018615

申请日：2020-09-11

Applicant: NOKIA SOLUTIONS AND NETWORKS OY

Inventor： Veronique CAPDEVIELLE ,  Afef FEKI ,  Deepak Kumar NAYAK ,  Claudiu MIHAILESCU ,  Nidham BEN RACHED ,  Suresh KALYANASUNDARAM

IPC: H04B7/06 ,  H04W24/02 ,  H04B17/318 ,  G01S5/02

Abstract: In some embodiments, a computing system maintains, in a memory, information on one or more terminal devices, a dictionary of beams and information on a spatial grid. The computing system maps each terminal device to the spatial grid based on up-to-date results of radio measurements and calculates, for each spatial element, a load caused by the one or more terminal devices based on the mapping. The computing system evaluates, for each combination of a beam and a terminal device, a reference signal received power, RSRP, based on results of the radio measurements. The computing system calculates a first map of expected spatial distribution of traffic based on the calculated loads and beam-specific second maps of expected RSRP based on the values of the RSRP. Finally, the computing system causes performing beamforming optimization based on the first map and second maps.