Multihop Rate Adaptive Wireless Scalable Video Using Syndrome-Based Partial Decoding

ETRI Journal

关键词: forward error correction (FEC);    scalable video;    Multihop wireless channel;   

Others  :  1185966
DOI  :  10.4218/etrij.10.1409.0072

【 摘 要 】

The overall channel capacity of a multihop wireless path drops progressively over each hop due to the cascading effect of noise and interference. Hence, without optimal rate adaptation, the video quality is expected to degrade significantly at any client located at a far-edge of an ad-hoc network. To overcome this limitation, decoding and forwarding (DF), which fully decodes codewords at each intermediate node, can be employed to provide the best video quality. However, complexity and memory usage for DF are significantly high. Consequently, we propose syndrome-based partial decoding (SPD). In the SPD framework an intermediate node partially decodes a codeword and relays the packet along with its syndromes if the packet is corrupted. We demonstrate the efficacy of the proposed scheme by simulations using actual 802.11b wireless traces. The trace-driven simulations show that the proposed SPD framework, which reduces the overall processing requirements of intermediate nodes, provides reasonably high goodput when compared to simple forwarding and less complexity and memory requirements when compared to DF.

   

【 参考文献 】

• [1]L. Larzon, M. Degermark, and S. Pink, "UDP Lite for Real Time Multimedia Applications," IEEE Int. Conf. Communications (ICC), Vancouver, June 1999.
• [2]A. Singh, A. Konrad, and A.D. Joseph, "Performance Evaluation of UDP Lite for Cellular Video," NOSSDAV, 2001.
• [3]S.A. Khayam et al., "Performance Analysis and Modeling of Errors and Losses over 802.11b LANS for High-Bitrate Real-Time Multimedia," Signal Processing: Image Communication, vol. 18, no. 47, Aug. 2003, pp. 575-595.
• [4]F. Pauchet et al., "Conditions for SVC Bit Error Resilience Testing," Joint Video Team (JVT) 17th Meeting: Nice, France, Oct. 2005.
• [5]R. Riemann and K. Winstein, "Improving 802.11 Range with Forward Error Correction," Massachusetts Institute of Technology, Tech. Rep, Feb. 2005.
• [6]S. Karande and H. Radha, "Hybrid Erasure-Error Protocols for Wireless Video," IEEE Trans. Multimedia, vol. 9, no. 2, Feb. 2007. pp. 307-319.
• [7]S. Karande et al., "Utilizing Signal to Silence Ratio indications for improved Video Communication in presence of 802.11b Residue Errors," ICME, July 2006.
• [8]S. Karande, K. Misra, and H. Radha, "Survival of the Fittest: An Active Queue Management Technique For Noisy Packet Flows," Journal of Advances in Multimedia - Special Issue on Multimedia Networking, vol. 2007, no. 1, Jan. 2007.
• [9]Y. Cho et al., "On Channel Capacity Estimation and Prediction for Rate Adaptive Wireless Video," IEEE Trans. Multimedia, vol. 10, Nov. 2008, pp. 1419-1426.
• [10]Y.C. Hu and D.B. Johnson, "Design and Demonstration of Live Audio and Video over Multihop Wireless ad hoc Networks," Proc. MILCOM, 2002.
• [11]C.M. Cordeiro, H. Gossain, and D.P. Agrawal, "Multicast over Wireless Mobile ad hoc Networks: Present and Future Directions," IEEE Network, vol. 17, no. 1, 2003, pp. 52-59.
• [12]J.N. Laneman and G.W. Wornell, "An Efficient Protocol for Realizing Distributed Spatial Diversity in Wireless Ad-Hoc Networks," ARL FedLab Symp. Advanced Telecommunications and Information Distribution (ATIRP-2001), College Park, MD, Mar. 2001.
• [13]Y. Cho et al., "A Multi-Tier Model for BER Prediction over Wireless Residual Channels," CISS, Mar. 2007.
• [14]Y. Cho et al., "A Rate-Distortion Empirical Model for Rate Adaptive Wireless Scalable Video," CISS, Mar. 2008.
• [15]S. Lin and D.J. Costello Jr., Error Control Coding: Fundamentals and Applications, Englewood Cliffs, NJ: Prentice Hall, 1983.
• [16]R.W. Yeung, A First Course in Information Theory, Kluwer Academic/Plenum Publishers, 2002.
• [17]P. Lambert et al., "Rate-Distortion Performance of H.264/AVC Compared to State-of-the-Art Video Codecs," IEEE Trans. Circuits and Systems for Video Technology, vol. 16, no. 1, Jan. 2006, pp. 134-140.
• [18]S. Boyd and L. Vandenberghe, Convex Optimization, Cambridge University Press, 2006.
• [19]ITU-T Rec. H.264