@inproceedings{a565b5c0907843ccadf2fe64f84dbab7,
title = "Quality of experience-based routing in multi-service wireless mesh networks",
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.",
keywords = "Q-Learning, QoE-Awareness, Reinforcement learning, Routing, Video, Wireless Mesh Networks",
author = "Ricardo Matos and Nuno Coutinho and Carlos Marques and Susana Sargento and Jacob Chakareski and Andreas Kassler",
year = "2012",
doi = "10.1109/ICC.2012.6364944",
language = "English (US)",
isbn = "9781457720529",
series = "IEEE International Conference on Communications",
pages = "7060--7065",
booktitle = "2012 IEEE International Conference on Communications, ICC 2012",
note = "2012 IEEE International Conference on Communications, ICC 2012 ; Conference date: 10-06-2012 Through 15-06-2012",
}