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Quality of experience based network resource allocation for wireless multimedia delivery

This dissertation discusses a Quality of Experience (QoE) driven cross-layer optimization framework for efficient network resource allocation in High Speed Downlink Packet Access (HSDPA) system. The proposed scheme jointly optimizes the application layer and the lower layers of the wireless protocol stack to determine the application data rate and the network resources with the aim of improving the service quality perceived by the user. The Mean Opinion Score (MOS) is used as a unified utility metric that encompasses the user-perceived quality under certain receiving conditions for the user application. Various QoE-based optimization schemes taking into account different criteria are proposed and compared to a throughput maximization scheme and a non-optimized system. Results show that the QoE-based approaches lead to significant improvements of user perceived quality.