Utility-based analytical model for representing user QoE

Manzoor Ahmed Khan, Jie Lu, Muhammad Amir Mehmood

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

Next Generation Mobile Networks (NGMNs) together with smart phones evolution have opened new opportunities to deliver mobile services, including voice, data and multimedia applications to the users. However this conflation has brought several challenges in terms of Quality of Experience - QoE of users. Mainly due to degradations with time-varying characteristics in the presense of link heterogeneity, varying packet loss and codec switching. In this paper we propose an analytical quality prediction model which predicts user QoE for conditions that are typically occurring in NGNMs such as network handovers, codec switching and different packet loss rates due to adverse wireless networking conditions. We augment our model with service price as another key factor in QoE representation. We validate quality prediction of our model with subjective tests. Our results show that the quality prediction by our model has correlation of r∈=∈0.923 with subjective ratings.

Original languageEnglish
Title of host publicationWired/Wireless Internet Communications - 9th IFIP TC 6 International Conference, WWIC 2011, Proceedings
Pages323-337
Number of pages15
DOIs
Publication statusPublished - 2011
Externally publishedYes
Event9th IFIP TC 6 International Conference on Wired/Wireless Internet Communications, WWIC 2011 - Vilanova i la Geltru, Spain
Duration: Jun 15 2011Jun 17 2011

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume6649 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Conference

Conference9th IFIP TC 6 International Conference on Wired/Wireless Internet Communications, WWIC 2011
Country/TerritorySpain
CityVilanova i la Geltru
Period6/15/116/17/11

Keywords

  • NGMN
  • QoE
  • Utility function
  • VoIP

ASJC Scopus subject areas

  • Theoretical Computer Science
  • General Computer Science

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