Self-Tuning Control for MIMO Network Systems

DOI: 10.4236/jsip.2012.32020   PDF   HTML     4,746 Downloads   7,258 Views   Citations


The advances in MIMO systems and networking technologies introduced a revolution in recent times, especially in wireless and wired multi-cast (multi-point-to-multi-point) transmission field. In this work, the distributed versions of self-tuning proportional integral plus derivative (SPID) controller and self-tuning proportional plus integral (SPI) controller are described. An explicit rate feedback mechanism is used to design a controller for regulating the source rates in wireless and wired multi-cast networks. The control parameters of the SPID and SPI controllers are determined to ensure the stability of the control loop. Simulations are carried out with wireless and wired multi-cast models, to evaluate the performance of the SPID and SPI controllers and the ensuing results show that SPID scheme yields better performance than SPI scheme; however, it requires more computing time and central processing unit (CPU) resources.

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M. S. Mahmoud and M. M. Hassan Hamid, "Self-Tuning Control for MIMO Network Systems," Journal of Signal and Information Processing, Vol. 3 No. 2, 2012, pp. 154-160. doi: 10.4236/jsip.2012.32020.

Conflicts of Interest

The authors declare no conflicts of interest.


[1] Y. Amir, D. Dolev, S. Kramer and D. Malki, “Transis: A Communication Sub-System for High Availability,” TwentySecond International Symposium on Fault-Tolerant Computing, 8-10 July 1992, pp. 76-84.
[2] A. P. Naryan, “Reliable Transfer of Data in a Local Area Network with Multicast Distribution,” 15th Conference on Local Computer Networks, McLean, 30 September-3 October 1990, pp. 310-319.
[3] S. Floyd, V. Jacobson, C.-G. Liu, S. McCanne and L. Zhang, “A Reliable Multicast Framework for Light-Weight Sessions and Application Level Framing,” 15th Conference on Local Computer Networks, McLean, Vol. 5, 1997, pp. 784-803,
[4] M. Gerla, C.-C. Chiang and L. Zhang, “Tree Multicast Strategies in Mobile, Multihop Wireless Networks,” Mobile Networks and Applications, Vol. 4, No. 3, 1999, pp. 193-207. doi:10.1023/A:1019150932356
[5] S. Mishra and L. Wu, “An Evaluation of Flow Control in Group Communication,” IEEE/ACM Transactions on Networking, Vol. 6, No. 5, 1998, pp. 571-587. doi:10.1109/90.731193
[6] H. Wang and M. Schwartz, “Performance Analysis of Multicast Flow Control Algorithms over Combined Wired/ Wireless Networks,” IEEE Journal of Selected Areas in Communications, Vol. 15, No. 7, 1997, pp. 1349-1363. doi:10.1109/49.622917
[7] S. McCanne, V. Jacobson and M. Vetterli, “ReceiverDriven Layered Multicast,” Conference Proceedings on Applications, Technologies, Architectures, and Protocols for Computer Communications, Vol. 26, No. 4, 1996. doi:10.1145/248156.248168
[8] F. Gong and G. Parulkar, “Study of a Two-Level Flow Control Scheme and Buffering Strategies,” INFOCOM’94. Networking for Global Communications, 13th Proceedings IEEE, Vol. 3, 1994, pp. 1224-1233.
[9] J. Jiang, R. Jain and C. So-In, “An Explicit Rate Control Framework for Lossless Ethernet Operation,” Proceedings of IEEE International Conference on Communications, Beijing, May 2008, pp. 19-23.
[10] X. Zhang and K. G. Shin, “Statistical Analysis of Feedback Synchronization Signaling Delay for Multicast Flow Control,” IEEE/ACM Transactions on Networking, Vol. 11, No. 3, 2003, pp. 436-450. doi:10.1109/TNET.2003.813035
[11] Y. Z. Cho, S. M. Lee and M. Y. Lee, “An Efficient Rate-Based Algorithm for Point-to-Multipoint ABR Service,” Global Telecommunications Conference, 3-8 November 1997, Vol. 2, pp. 790-795.
[12] X. Zhang, K. G. Shin, D. Saha and D. D. Kandlur, “Scalable Flow Control for Multicast ABR Services in ATM Networks,” IEEE/ACM Transactions on Networking, Vol. 10, No. 1, 2002, pp. 67-85. doi:10.1109/90.986538
[13] A. Kolarov and G. Ramamurthy, “A Control Theoretic Approach to the Design of an Explicit Rate Controller for ABR Service,” IEEE/ACM Transactions on Networking, Vol. 7, No. 5, 1999, pp. 741-753. doi:10.1109/90.803387
[14] F. Blanchini, R. L. Cigno, and R. Tempo, “Robust Rate Control for Integrated Services Packet Networks,” IEEE/ ACM Transactions on Networking, Vol. 10, No. 5, 2002, pp. 644-652. doi:10.1109/TNET.2002.803896
[15] S. H. Lee and J. T. Lim, “Multicast ABR Service in ATM Networks Using a Fuzzy-Logic-Based Consolidation Algorithm,” Proceedings of Industrial Electronic Engineering Communications, Vol. 148, No. 1, 2001, pp. 8-13.
[16] K. L. Chien, J. A. Hrons and J. B. Reswick, “On the Automatic Control of Generalized Passive Systems,” Transactions of the American Society of Mechanical Engineeing, Vol. 74, 1972, pp. 175-185.
[17] P. E. Wellstead and M. B. Zarrop, “Self-Tuning Systems,” John Wiley & Sons Ltd., New York, 1991.
[18] L. Rizzo, “Pgmcc: ATCP-Friendly Single-Rate Multicast Congestion Control Scheme,” Proceeding of the ACM SIGCOMM, Stockholm, 2000, pp. 17-28.
[19] N. Xiong, Y. He and Y. Yang, “An Efficient Flow Control Algorithm for Multi-Rate Multicast Networks,” 2004 IEEE Workshop on IP Operations and Management Proceedings, Beijing, 11-13 October 2004, pp. 69-76.
[20] L. Lao, J. H. Cui, M. Gerla and D. Maggiorini, “A Comparative Study of Multicast Protocols: Top, Bottom, or in the Middle,” IEEE International Conference on Computer Communications, Joint Conference of the IEEE Computer and Communications Societies, Barcelona, 23-29 April 2006.
[21] S. Ratnasamy, A. Ermolinskiy and S. Shenker, “Revisiting IP Multicast,” Proceeding of the ACM SIGCOMM, Pisa, 11-15 September 2006, pp. 15-26.
[22] A. Hurwitz, “On the Conditions under Which an Equation Has Only Roots with Negative Real Parts,” Mathematische Annelen, Vol. 46, 1985, pp. 273-284.
[23] K. Ogata, “Discrete-Time Control Systems,” 2nd Edition, Prentice-Hall, Inc., New York, 1995.

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