Optimal resource allocation for Medium Grain Scalable video transmission over MIMO channels

In this paper we investigate an optimal solution for adaptive H.264/SVC video transmission over Multiple-Input Multiple-Output (MIMO) channels. We first write the end-to-end distortion of the H.264/SVC video transmission over a diagonal MIMO channel. The total distortion is expressed following three physical layer parameters: power allocation, modulation spectral efficiency and Error Code Correction (ECC) code rate. Minimizing the total distortion is considered as an optimization problem containing both discrete and continuous variables. We use the Lagrangian method associated with Karush-Kuhn and Tucker conditions to find out the optimal continuous physical layer parameters. Concerting the discrete modulation spectral efficiency and ECC code rate, we exploit information of the MIMO system to remove all suboptimal configurations. Therefore, the optimal power allocation is computed only for a reduced number of discrete configurations. The performance of the proposed solution is evaluated over both statistical and realistic MIMO channels. Results show that the proposed solution performs an optimal resource allocation to achieve the best QoS regardless the channel conditions.

[1]  Aggelos K. Katsaggelos,et al.  Joint source-channel coding for scalable video , 2000, Electronic Imaging.

[2]  Jun Xu,et al.  MIMO video broadcast via transmit-precoding and SNR-scalable video coding , 2010, IEEE Journal on Selected Areas in Communications.

[3]  Abbas Jamalipour,et al.  Wireless communications , 2005, GLOBECOM '05. IEEE Global Telecommunications Conference, 2005..

[4]  A. Robert Calderbank,et al.  MIMO Wireless Communications , 2007 .

[5]  Xiaodong Wang,et al.  Adaptive Mode- and Diversity-Control for Video Transmission on MIMO Wireless Channels , 2009, IEEE Transactions on Signal Processing.

[6]  F. Mora,et al.  Optimised scanning of a visibility graph data structure for efficient ray-tracing , 2005, The European Conference on Wireless Technology, 2005..

[7]  Andrea J. Goldsmith,et al.  Joint Source and Channel Coding for MIMO Systems: Is it Better to be Robust or Quick? , 2008, IEEE Transactions on Information Theory.

[8]  Yi Hong,et al.  X- and Y-Codes for MIMO precoding , 2010, 2010 IEEE International Symposium on Information Theory.

[9]  Gilles Burel,et al.  Extension of the MIMO Precoder Based on the Minimum Euclidean Distance: A Cross-Form Matrix , 2008, IEEE Journal of Selected Topics in Signal Processing.

[10]  Andrea Goldsmith,et al.  Wireless Communications , 2005, 2021 15th International Conference on Advanced Technologies, Systems and Services in Telecommunications (TELSIKS).

[11]  Emre Telatar,et al.  Capacity of Multi-antenna Gaussian Channels , 1999, Eur. Trans. Telecommun..

[12]  Stephen P. Boyd,et al.  Convex Optimization , 2004, Algorithms and Theory of Computation Handbook.

[13]  Desmond P. Taylor,et al.  Convolutional Codes and Their Performance in Communication Systems , 2007 .

[14]  Peter Schelkens,et al.  Scalable Joint Source-Channel Coding for the Scalable Extension of H.264/AVC , 2008, IEEE Transactions on Circuits and Systems for Video Technology.

[15]  Clency Perrine,et al.  A solution to efficient power allocation for H.264/SVC video transmission over a realistic MIMO channel using precoder designs , 2011, J. Vis. Commun. Image Represent..

[16]  L. H. Charles Lee,et al.  New rate-compatible punctured convolutional codes for Viterbi decoding , 1994, IEEE Trans. Commun..

[17]  Avideh Zakhor,et al.  Joint source/channel coding of scalable video over noisy channels , 1996, Proceedings of 3rd IEEE International Conference on Image Processing.

[18]  Heiko Schwarz,et al.  Overview of the Scalable Video Coding Extension of the H.264/AVC Standard , 2007, IEEE Transactions on Circuits and Systems for Video Technology.

[19]  Lizhong Zheng,et al.  Diversity and multiplexing: a fundamental tradeoff in multiple-antenna channels , 2003, IEEE Trans. Inf. Theory.

[20]  Inkyu Lee,et al.  Optimal precoding for orthogonalized spatial multiplexing in closed-loop MIMO systems , 2008, IEEE Journal on Selected Areas in Communications.

[21]  Olivier Berder,et al.  Optimal minimum distance-based precoder for MIMO spatial multiplexing systems , 2004, IEEE Transactions on Signal Processing.

[22]  Petre Stoica,et al.  Generalized linear precoder and decoder design for MIMO channels using the weighted MMSE criterion , 2001, IEEE Trans. Commun..

[23]  P ? ? ? ? ? ? ? % ? ? ? ? , 1991 .

[24]  Robert W. Heath,et al.  An overview of limited feedback in wireless communication systems , 2008, IEEE Journal on Selected Areas in Communications.

[25]  Wei-Ho Chung,et al.  Unequal Error Protection for H.264 Video Using RCPC Codes and Hierarchical QAM , 2010, 2010 IEEE International Conference on Communications.

[26]  Stephen J. Wright.  Primal-Dual Interior-Point Methods , 1997, Other Titles in Applied Mathematics.

[27]  K. X. M. Tzeng,et al.  Convolutional Codes and 'Their Performance in Communication Systems , 1971 .

[28]  Joachim Hagenauer,et al.  Rate-compatible punctured convolutional codes (RCPC codes) and their applications , 1988, IEEE Trans. Commun..

[29]  D. Botstein,et al.  Singular value decomposition for genome-wide expression data processing and modeling. , 2000, Proceedings of the National Academy of Sciences of the United States of America.