公开(公告)号：US11665605B2

公开(公告)日：2023-05-30

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 ,  G06N20/00 ,  H04W36/24

CPC classification number: H04W36/0094 ,  G06N20/00 ,  H04W36/00837 ,  H04W36/245

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：US11570046B2

公开(公告)日：2023-01-31

申请号：US17643936

申请日：2021-12-13

Applicant: Nokia Solutions and Networks Oy

Inventor： Afef Feki ,  Nicolas Rots ,  Fahad Syed Muhammad ,  Veronique Capdevielle ,  Mohammad Saad Khan ,  Tinhinane Ouadda ,  Claudiu Mihailescu

IPC: G06F15/173 ,  H04L41/0816 ,  H04L41/0823 ,  H04L43/04

Abstract: An apparatus for anomaly detection in a network, using an autoencoder including an encoder and a decoder. The apparatus includes a processor and a memory including computer program code, causing the apparatus to: providing the decoder with network configuration parameters used to obtain calculated network performance indicators, obtaining reconstructed network performance indicators from the decoder based on the network configuration parameters used to obtain the calculated network performance indicators, comparing the reconstructed network performance indicators with the calculated network performance indicators, detecting an anomaly when observing a deviation between the reconstructed network performance indicators and the calculated network performance indicators, providing the encoder with the calculated network performance indicators, obtaining estimated network configuration parameters from the encoder based on the calculated network performance indicators, detecting that the anomaly is related to the network configuration parameters.