Combined link adaptation and traffic control scheme for MGS H.264/AVC video transmission
DSP'09 Proceedings of the 16th international conference on Digital Signal Processing
Scheduling and resource allocation for SVC streaming over OFDM downlink systems
IEEE Transactions on Circuits and Systems for Video Technology
Dynamic resource allocation for MGS H.264/AVC video transmission over link-adaptive networks
IEEE Transactions on Multimedia
GLOBECOM'09 Proceedings of the 28th IEEE conference on Global telecommunications
Analysis of selective retransmission techniques for differentially encoded data
ICC'09 Proceedings of the 2009 IEEE international conference on Communications
IEEE Journal on Selected Areas in Communications
Scalable video coding based on three-dimensional discrete pseudo cosine transform
ruSMART/NEW2AN'10 Proceedings of the Third conference on Smart Spaces and next generation wired, and 10th international conference on Wireless networking
Optimal adaptive channel scheduling for scalable video broadcasting over MIMO wireless networks
Computer Networks: The International Journal of Computer and Telecommunications Networking
Scalable Wireless Video Streaming over Real-Time Publish Subscribe Protocol (RTPS)
DS-RT '13 Proceedings of the 2013 IEEE/ACM 17th International Symposium on Distributed Simulation and Real Time Applications
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In this paper, we propose a cross-layer optimization scheme for delivery of scalable video over multirate wireless networks, in particular the popular 802.11 based wireless local area network (WLAN). The 802.11 based networks use a link adaptation mechanism in the physical layer (PHY) to maintain the reliability of transmission under varying channel conditions. When channel condition worsens, the reliability is maintained by employing more robust modulation and coding schemes, at the cost of reduced PHY bit rate. The reduced bit rate will result in lower available throughput for applications. For scalable video streaming applications, the conventional solution to this problem is to reduce the video bit rate by dropping the higher enhancement layers of the scalable video. We show in this article that the video quality can be improved, if the link adaptation scheme uses more intelligent reliability criteria and adjusts the PHY parameters used for delivering each video layer, according to the relative importance of that layer. Our scheme achieves better video quality without increasing the traffic load of the WLAN. For this purpose we present temporal fairness constraints and formulate an optimization problem for assigning different PHY modes to different layers of scalable video; the solution to this problem provides a set of PHY configuration parameters that achieve the highest possible video quality while meeting the admission control constraints in the network. Performance evaluations demonstrate that our method outperforms the existing mechanisms.