KSII Transactions on Internet and Information Systems (TIIS)

Korean Society for Internet Information (한국인터넷정보학회)
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A Cross-Layer Approach to Fair Resource Allocation for Multimedia Service in WiMAX

  • Hong, Seok-Hoon (Department of Electronics and Radio Engineering, Kyung Hee University) ;
  • Lee, Yong-Hun (Department of Electronics and Radio Engineering, Kyung Hee University) ;
  • Jung, Jae-Yoon (Department of Industrial and Management Systems Engineering, Kyung Hee University) ;
  • Suh, Doug-Young (Department of Electronics and Radio Engineering, Kyung Hee University)
  • Received : 2010.06.01
  • Accepted : 2010.09.21
  • Published : 2010.12.23
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Abstract

In this paper, a cross-layer resource allocation mechanism is proposed for wireless multimedia service. In particular, a game theory based on quality of service (QoS) for multimedia users is introduced to deal with the fairness of network resource allocation in wireless networks. Moreover, the channel states of wireless users are additionally regarded under the cross-layer design in WiMAX environment. In details, the bargaining solution is adopted to discover the efficient and fair resource allocation strategy for multimedia service in considering QoS in the peak signal-to-noise ratio (PSNR) and the channel states in the carrier-to-interface ratio (CINR). The proposed mechanism is illustrated and evaluated by simulation results of transmitting video sequences in WiMAX environment.

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References

  1. Z. Dziong and L. G. Mason, "Fair-efficient call admission control policies for broadband networks - a game theoretic framework," IEEE/ACM Transactions on Networking, vol. 4, no. 1, pp. 123-136, 1996. https://doi.org/10.1109/90.503768
  2. Y. Pei and J. Modestino, "Multi-layered video transmission over wireless channels using an adaptive modulation and coding scheme," in Proc. of International Conf. on Image Processing, vol. 2, pp. 1009-1012, 2001.
  3. H. Schwarz, D. Marpe, and T. Wiegand, "Overview of the Scalable Video Coding Extension of the H.264/AVC Standard," IEEE Transactions on Circuits and Systems for Video Technology, vol. 17, no. 9, pp. 1103-1120, 2007. https://doi.org/10.1109/TCSVT.2007.905532
  4. M. Van der Schaar and S. Shankar, "Cross-Layer Wireless Multimedia Transmission-Challenges, Principles, and New Paradigms," IEEE Wireless Communications, vol. 12, no. 4. pp. 50-58, 2005. https://doi.org/10.1109/MWC.2005.1497858
  5. Y. Shan, "Cross-Layer Techniques for Adaptive Video Streaming over Wireless Networks," EURASIP Journal on Applied Signal Processing, vol. 2005, no.2, pp. 220-228, 2005. https://doi.org/10.1155/ASP.2005.220
  6. C. Jang, J. Kim, W. Choi, and C. Lee, "A Development of H.264 Encoder Adapted to the WiBro Communication Environment for the Real-Time Tele-operation of Robots," in Proc. of International Conf. on Convergence Information Technology, pp. 125-128, 2007.
  7. I. Haratcherev, J. Taal, K. Langerdoen, R. Lagendijk, and H. Sips, "Optimized Video Streaming over 802.11 by Cross-Layer signaling," IEEE Communications Magazine, vol. 44, no. 1, pp. 115-121, 2006.
  8. H. S. Kim, H. M. Nam, J. Y. Jeong, S. H. Kim, S. J. Ko, "Measurement based channel-adaptive video streaming for mobile devices over mobile WiMAX," IEEE Transactions on Consumer Electronics vol. 54, no. 1, pp. 171-178, 2008. https://doi.org/10.1109/TCE.2008.4470040
  9. B. Girod and N. Färber, "Wireless video," in Compressed Video Over Networks, Eds: A. Reibman and M.-T. Sun, New York: Marcel Dekker, 2000.
  10. S. Berson, "Aggregation of internet integrated services state," in Proc. of 6th International Workshop on Quality of Service, pp. 26-28, 1998.
  11. F. Kelly, A. Maulloo, and D. Tan, "Rate control for communication networks: Shadow prices, proportional fairness and stability," Journal of the Operational Research Society, vol. 49, no. 3, pp. 237-252, 1998. https://doi.org/10.1057/palgrave.jors.2600523
  12. H. Park and M. van der Schaar, "Bargaining Strategies for Networked Multimedia Resource Management," IEEE Transactions on Signal Processing, vol. 55, no. 7, pp. 3496-3511, 2007. https://doi.org/10.1109/TSP.2007.893755
  13. J. Nash, "The bargaining problem," Econometrica, vol. 18, no. 2, pp. 155-162, 1950. https://doi.org/10.2307/1907266
  14. E. Kalai and M. Smorondinsky, "Other solutions to Nash's bargaining problem," Econometrica, vol. 43, no. 3, pp. 513-518, 1975. https://doi.org/10.2307/1914280
  15. H. Park and M. van der Schaar, "Multi-user multimedia resource management using Nash Bargaining Solution," in Proc. of IEEE International Conf. on Acoustics, Speech, and Signal Process, vol. 2, pp. 717-720, 2007.
  16. B. J. Borgstrom and M. van der Schaar, "Rate Allocation for Noncollaborative Multiuser Speech Communication Systems Based on Bargaining Theory," IEEE Transactions on Audio, Speech, and Language Processing, vol. 15, no. 4, pp. 1156-1165, 2007. https://doi.org/10.1109/TASL.2007.894533
  17. V. Corvino, V. Tralli, and R. Verdone "Cross-layer radio resources allocation for multi-carrier air interfaces, in multi-cell multi-user environments," IEEE Transactions on Vehicular Technology, vol. 58, no. 4, pp. 1864-1875, 2008.
  18. W. Huang and K. Letaief, "A cross-layer resource allocation and scheduling for multiuser space-time block coded MIMO/OFDM systems," in Proc. of IEEE International Conf. on Communications, 2005.
  19. F. Florén, O. Edfors, and B.-A. Molin, "The effect of feedback quantization on the throughput of a multiuser diversity scheme," in Proc. of IEEE Conf. on Global Communications, vol. 1, pp. 497-501, 2003.
  20. M. Johansson, "Benefits of multiuser diversity with limited feedback," in Proc. of IEEE Workshop on Signal Processing Advances in Wireless Communications, pp.155-159, 2003.
  21. Z. Han, Z. Ji, and K. Liu, "Fair Multiuser Channel Allocation for OFDMA Networks Using Nash Bargaining Solutions and Coalitions," IEEE Transactions on Communications, vol. 53, no. 8, pp. 1366-1376, 2005. https://doi.org/10.1109/TCOMM.2005.852826
  22. K. -D. Lee and V. C. M. Leung, "Fair allocation of subcarrier and power in an OFDMA wireless mesh network," IEEE J. Sel. Areas Communications, vol. 24, no. 11, pp. 2051-2060, 2006. https://doi.org/10.1109/JSAC.2006.881628
  23. J. Reichel, H. Schwarz, and M. Wien, "Joint scalable video model JSVM-9," ISO/IEC JTC1/SC29/WG11 and ITU-T SG16 Q.6, JVT-V202, 2007.
  24. D. Tse and S. Hanly, "Multi-access fading channels- Part I: Polymatroid structure, optimal resource allocation and throughput capacities," IEEE Transactions on Information Theory, vol. 44, no. 7, pp. 2796-2815, 1998. https://doi.org/10.1109/18.737513

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