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• W2002992786 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." @default.
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• W2002992786 date "2012-06-01" @default.
• W2002992786 modified "2023-10-02" @default.
• W2002992786 title "ICC'12 WS &#x2014; ViOpt: Realizing advanced video optimized wireless networks &#x2014; Program" @default.
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• W2002992786 doi "https://doi.org/10.1109/icc.2012.6365058" @default.
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