End-to-end stochastic scheduling of scalable video overtime-varying channels

Authors:
Nesrine Changuel;Nicholas Mastronarde;Mihaela Van der Schaar;Bessem Sayadi;Michel Kieffer
Affiliations:
Alcatel Lucent Bell Labs France, 91620 Nozay, France;University of California Los Angeles (UCLA), Los Angeles, CA, USA;University of California Los Angeles (UCLA), Los Angeles, CA, USA;Alcatel lucent Bell Labs France, 91620 Nozay, France;LTCI, CNRS-Télécom ParisTech, 75013 Paris, France
Venue:
Proceedings of the international conference on Multimedia
Year:
2010

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Abstract

This paper addresses the problem of video on demand delivery over a time-varying wireless channel. Packet scheduling and buffer management are jointly considered for scalable video transmission to adapt to the changing channel conditions. A proxy-based filtering algorithm among scalable layers is considered to maximize the decoded video quality at the receiver side while keeping a minimum playback margin. This problem is cast in the context of Markov Decision Processes which allows the design of foresighted policies maximizing some long-term reward. Experimental results illustrate the benefit of this approach compared to a shortterm policy in term of average PSNR improvement.