Content based QoS differentiation for video streaming in a wireless environment

This paper adresses the problem of resource allocation for video streaming applications in a cellular wireless network. We propose a solution based on Regions Of Interest (ROI) partitioning to hierarchically transmit packets in order to keep an acceptable experienced QoS in the case of degraded conditions. The proposed resource allocation strategy in terms of scheduling policy is between best-effort and guaranteed bitrate transmissions. Thanks to an efficient coding method, video content differentiation based on psycho-visual perception is translated from IP domain to Radio Resources Management entities. Adopting a motion based model to differentiate ROIs inside video frames, we show that our approach provide substantial quality gain compared to classical packet transmission methods.