Machine Learning for QoE Management in Future Wireless Networks

Georgios Kougioumtzidis, Vladimir Poulkov, Zaharias Zaharis, Pavlos Lazaridis

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

The growth in volume and heterogeneity of accessible services in future wireless networks (FWNs), imposes pressure to communication service providers (CSPs) to expand their capacity for network performance monitoring and evaluation, in particular in terms of the performance as it is perceived by end-users. The quality of experience (QoE)-aware design model allows to understand and analyze the operation of networks and services from the end-user's perspective. In addition, network measurements based on QoE constitute a key source of knowledge for the overall functionality and management of the network. In this respect, the implementation of artificial intelligence (AI) and machine learning (ML) in QoE management, increases the accuracy of modeling procedures, improves the monitoring process efficiency, and develops innovative optimization and control methodologies.

Original languageEnglish
Title of host publication2021 34th General Assembly and Scientific Symposium of the International Union of Radio Science, URSI GASS 2021
PublisherInstitute of Electrical and Electronics Engineers Inc.
Number of pages4
ISBN (Electronic)9789463968027
ISBN (Print)9781665429955
DOIs
Publication statusPublished - 14 Oct 2021
Event34th General Assembly and Scientific Symposium of the International Union of Radio Science - Rome (Virtual), Italy
Duration: 28 Aug 20214 Sep 2021
Conference number: 34
https://www.ursi2021.org/
https://ieeexplore.ieee.org/xpl/conhome/9560113/proceeding

Publication series

Name2021 34th General Assembly and Scientific Symposium of the International Union of Radio Science, URSI GASS 2021
ISSN (Print)2640-7027
ISSN (Electronic)2642-4339

Conference

Conference34th General Assembly and Scientific Symposium of the International Union of Radio Science
Abbreviated titleURSI GASS 2021
CountryItaly
CityRome (Virtual)
Period28/08/214/09/21
Internet address

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