Abstract-Due to the highly-varying wireless channels, deterministic quality of service (QoS) is usually difficult to guarantee for real-time multi-layer video transmissions in wireless networks. Consequently, statistical QoS guarantees have become an important alternative in supporting real-time video transmissions. In this paper, we propose an efficient framework to model the statistical delay QoS guarantees, in terms of QoS exponent, effective bandwidth/capacity, and delay-bound violation probability, for multi-layer video transmission over wireless fading channels. In particular, a separate queue is maintained for each video layer, and the same delay bound and corresponding violation probability threshold are set up for all layers. Applying the effective bandwidth/capacity analyses on the incoming video stream, we obtain a set of QoS exponents for all video layers to effectively characterize this delay QoS requirement. We then develop a set of optimal adaptive transmission schemes to minimize the resource consumption while fulfilling the diverse QoS requirements under various scenarios, including video unicast/multicast with and/or without loss tolerance. Simulation results are also presented to demonstrate the impact of statistical QoS provisionings on resource allocations of our proposed adaptive transmission schemes.
For scalable video transmission, effective capacity analysis is applied in REF to provide statistical delay bounds for scalable video transmission over unicast and multicast links.
Statistical QoS Provisionings for Wireless Unicast/Multicast of Layered Video Streams
IEEE INFOCOM 2009
IEEE INFOCOM 2009
Computer Science