Quality of experience-based routing in multi-service wireless mesh networks

Ricardo Matos, Nuno Coutinho, Carlos Marques, Susana Sargento, Jacob Chakareski, Andreas Kassler

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

21 Scopus citations

Abstract

We develop an optimization framework for Quality of Experience (QoE)-based routing in multi-service Wireless Mesh Networks (WMNs). The framework takes into account the heterogeneous requirements of different services delivered over a WMN, such that the overall end-user QoE is maximized under given resource constraints. We propose a novel QoE-aware double reinforcement learning strategy for dynamically computing the most efficient routes to deliver the flows of each service type. Comprehensive NS-2-based simulations demonstrate the substantial performance gains that our approach enables over conventional routing techniques such as AODV, with significant improvement over video quality.

Original languageEnglish (US)
Title of host publication2012 IEEE International Conference on Communications, ICC 2012
Pages7060-7065
Number of pages6
DOIs
StatePublished - 2012
Externally publishedYes
Event2012 IEEE International Conference on Communications, ICC 2012 - Ottawa, ON, Canada
Duration: Jun 10 2012Jun 15 2012

Publication series

NameIEEE International Conference on Communications
ISSN (Print)1550-3607

Other

Other2012 IEEE International Conference on Communications, ICC 2012
Country/TerritoryCanada
CityOttawa, ON
Period6/10/126/15/12

All Science Journal Classification (ASJC) codes

  • Computer Networks and Communications
  • Electrical and Electronic Engineering

Keywords

  • Q-Learning
  • QoE-Awareness
  • Reinforcement learning
  • Routing
  • Video
  • Wireless Mesh Networks

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