QoE in multi-service multi-agent networks

Authors:
Fidel Liberal;Armando Ferro;Harilaos Koumaras;Anastasios Kourtis;Lingfen Sun;Emmanuel C. Ifeachor
Affiliations:
Department of Electronics and Telecommunications, ETSI Bilbao, Alameda Urquijo s&#/#/47/n, 48013 Bilbao, Spain.;Department of Electronics and Telecommunications, ETSI Bilbao, Alameda Urquijo s&#/#/47/n, 48013 Bilbao, Spain.;Institute of Informatics and Telecommunications, NCSR Demokritos, Agia Paraskevi, 15310 Athens, Greece.;Institute of Informatics and Telecommunications, NCSR Demokritos, Agia Paraskevi, 15310 Athens, Greece.;School of Computing, Communications and Electronics, University of Plymouth, Plymouth PL4 8AA, UK.;School of Computing, Communications and Electronics, University of Plymouth, Plymouth PL4 8AA, UK
Venue:
International Journal of Communication Networks and Distributed Systems
Year:
2010

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Abstract

The growth of emerging multimedia applications with different quality requirements has made the objective network QoS (NQoS) to be commonly considered as an inadequate metric for quality assessment in telecommunication services, being the quality of experience (QoE) concept the most predominant alternative. However, most QoE-related research studies are service-specific, not easily expandable to other multimedia services and unsuitable for tuning up network management procedures. Instead, we propose an integrated QoE management model and a calculus process that estimates final user-satisfaction over multi-service scenarios and identifies those elements that have a greater impact on users' QoE. In order to evaluate this impact, new VoIP and video perception assessment methods were developed, while state-of-the-art methods were used for web and online game services. The effectiveness of the model is demonstrated by applying a stepwise multiple linear regression method to identify both subjective and objective bottlenecks in the network.