oalogo2  

AUTHOR(S):

K.Thilagam, K.Jayanthi

 

TITLE

A Novel Chaotic MIMO-OFDM System for Improved Performance in Future Cellular Wireless Networks

pdf PDF

KEYWORDS

Chaotic MIMO-OFDM, modified golden codes, Code shifted quadrature chaos shift keying (CSQCSK), multiple input multiple output (MIMO), Orthogonal frequency division multiplexing (OFDM), low complex sphere decoder, Bit error rate, spectral efficiency

ABSTRACT

In recent years, the explosive growth of new generation wireless networks has spurred lot of research thrust particularly looking for a bandwidth efficient modulation and coding scheme. In this connection, researchers have recently turned up their attention towards chaotic communication systems and golden codes for its attractive benefits. This consequently had motivated us for two new proposals namely: code shiftedquadrature chaos shift keying (CS-QCSK) and modified golden codes with low complex decoder. The Code Shifted-Quadrature Chaos shift Keying (CS-QCSK) modulation technique with its code domain approach has proven to be the best among the conventional chaotic modulation schemes [4]. Similarly, in the coding scenario, modified Golden codes had been proven to exhibit better error performance than any other space time block codes through our earlier investigation in [14]. The aforementioned modulation scheme (CS-QCSK) and coding scheme (modified golden code) can be concatenated in an OFDM system to harvest an enhanced performance. The suitability of the proposed chaos based logic is tested in a multiple input multiple outputorthogonal frequency division multiplexing (MIMO-OFDM) system. The performance parameters like spectral efficiency, capacity and BER analysis is computed through simulation analysis. The obtained results were found very satisfactory, of course with a marginal increase in the process complexity.

 

REFERENCES

[1] G. Kolumbán, B. Vizvári,W. Schwarz, and A. Abel, “Differential chaos shift keying: A robust coding for chaos communication,” Proc. Int.Workshop Nonlinear Dynamics of Electronic Systems, pp. 87–92, June 1996.

[2] Z. Galias and G. M. Maggio, “Quadrature chaos-shift keying: Theory and performance analysis,” IEEE Trans.Circuits Syst. I, Fundam.Theory Appl., vol. 48, no. 12, pp. 1510–1519, Dec. 2001.

[3] G.Koluban,W.K.Xu and L.Wang, “A Novel differential chaos shift keying modulation scheme,” International journal of Bifurcation and chaos,Vol.21,No.3,pp799-814,2011.

[4] Thilagam.K and Jayanthi.K, “A Novel chaos based modulation scheme (CS-QCSK) with improved BER Performance”, CS&ITComputer Science Conference Proceedings, CoNeCo, pp-45-59, 2012.

[5] Thilagam.K and Jayanthi.K, “Multiuser BER Analysis of CS-QCSK Modulation Scheme in a Cellular System”, International Journal of Wireless & Mobile Networks (IJWMN), Vol. 4, No. 6, December 2012

[6] Thilagam.K and Jayanthi.K, “Improving Cellular Network Performance through Modified Golden Codes Combined with a New Chaotic Modulation Scheme”, accepted for publication in International Journal of Wireless and Mobile Computing (IJWMC), Inderscience Publishers.

[7] B. A. Sethuraman, B. S. Rajan, and V. Shashidhar, “Full-diversity, highrate space-time block codes from Division algebras,” IEEE Trans. Inform. Theory, vol. 49, no. 10, pp. 2596–2616, Oct. 2003.

[8] J.C. Belfiore, G. Rekaya, and E. Viterbo, “The Golden Code: A 2×2 full rate Space-Time Code with Non Vanishing Determinants,” IEEETrans. on Inf. Theory, vol. 51, no 4, April 2005.

[9] M. Sarkiss, J.-C. Belfiore and Y.-W. Yi, “Performance Comparison of Different Golden Code Detectors,” in Proc. IEEE PIMRC 2007, Athens,Greece, Sep. 2007, pp. 1–5.

[10] L.Mroueh, S. Rouquette-L´eveil and J.C. Belfiore, “ On the performance of the Golden code in BICM-MIMO system and in IEEE 802.11n standard”, IEEE Conference proceedings,Signals,Systems and Computers, 2007, pp. 1544-1548 .

[11] Y.Hong, E.Viterbo and J.C.Belfiore, “Golden Space -Time Trellis Coded Modulation”, IEEE Transactions on Information Theory, Vol.56, No. 10, May 2007.

[12] Mohanned O. Sinnokrot, “Space-Time Block Codes with Low Maximum-Likelihood Decoding Complexity”, Ph.D. Thesis, Georgia Institute of Technology, December 2009.

[13] G.S. Rajan and B.S.Rajan, “Multi-group ML Decodable Collocated and Distributed Space Time Block Codes,” IEEE Trans. on Inf. Theory, vol.56, no.7, pp. 3221-3247, July 2010.

[14] Thilagam.K and Jayanthi. K, “Modified Golden Codes for Improved Error Rates through Low Complex Sphere Decoder” CS&IT-Computer Science Conference Proceedings, WiMoA, pp- 45-59, 2013.

[15] Taewon Hwang, Chenyang Yang, Gang Wu, Shaoqian Li and Geoffrey Ye Li, “OFDM and its Wireless Applications: A Survey”, IEEE Transactions on Vehicular Technology, Vol.58, No.4, May 2009.

[16] R. NEE, V.K. JONES, G.AWATER, A.V. ZELST, J.GARDNER and G.STEELE, “The 802.11n MIMO-OFDM Standard for Wireless LAN and Beyond”, Wireless Personal Communications, Vol.No. 37, pp: 445–453, 2006.

[17] Helmut Bolcskei, “Principles of MIMO-OFDM Wireless Systems”, Swiss Federal Institute of Technology (ETH), 2004.

[18] G. L. Stüber, J. R. Barry, S. W. McLaughlin, Y. (G.) Li, M. A. Ingram, and T. G. Pratt, Broadband MIMO-OFDM wireless communications,” Proc. IEEE, vol. 92, no. 2, pp. 271–294, Feb. 2004.

[19] Wei zhang, xiang-gen xia, khaled ben letaief, “space-time/frequency coding for mimo-ofdm in next generation Broadband wireless systems”, IEEE Wireless Communications,pp.32-43, June 2007.

[20] D. R. V. Jagannadha Rao, V. Shashidhar, Zafar Ali Khan, B. Sundar Rajan, “Low-complexity, Full-diversity Space-Time-Frequency Block Codes for MIMO-OFDM”, IEEE Communication Society, Globecom 2004.

[21] Ben Lu, Xiaodong Wang, “Iterative Receivers for Space–Time Block-Coded OFDM Systems in Dispersive Fading Channels”, IEEE Transactions On Wireless Communications, VOL. 1, NO. 2, APRIL 2002.

[22] Ye (Geoffrey) Li, Jack H. Winters, “MIMOOFDM for Wireless Communications: Signal Detection with Enhanced Channel Estimation”, IEEE Transactions On Communications, Vol. 50, No. 9, September 2002.

[23] Rick S. Blum, Ye (Geoffrey) Li, Jack H. inters, and Qing Yan, “Improved Space–Time Coding for MIMO-OFDM Wireless Communications”, IEEE Transactions On Communications, Vol. 49, No. 11, November 2001.

[24] Zhongshan Wu “MIMO-OFDM Communication Systems: Channel Estimation And Wireless Location”, Ph.D Thesis, Louisiana State University, May 2006 [25] Ming Jiang and Lajos Hanzo, “Multiuser MIMO-OFDM for Next-Generation Wireless Systems”, Proceedings of the IEEE Vol. 95, No. 7, July 2007.

[26] Ajey.S, Srivalli.B and Rangaraj.G.V, “On performance of MIMO-OFDM based LTE systems”, IEEE conference proceedings (ICWCS), pp.1-5, 2010.

[27] Lajos Hanzo,Yosef Akthman, Li Wang and Ming Jiang, “ MIMO-OFDM FOR LTE,WIFI AND WIMAX‟‟, 2011,John Wiley & Sons.

[28] Seyman and Taşpinar , Particle swarm optimization for pilot tones design in MIMOOFDM systems, EURASIP Journal on Advances in Signal Processing 2011, 2011:10

[29] Emmanuel Manasseh, Shuichi Ohno and Masayoshi Nakamoto, Combined channel estimation and PAPR reduction technique for MIMO–OFDM systems with null subcarriers, EURASIP Journal onWireless Communications and Networking 2012, 2012:201

[30] Alexandra Oborina, Martti Moisio and Visa Koivunen, “Performance of Mobile MIMO OFDM Systems With Application to UTRAN LTE Downlink”, IEEE Transactions on Wireless Communications, Vol.11,No.8, pp. 2696-2706, August 2012.

Cite this paper

K.Thilagam, K.Jayanthi. (2016) A Novel Chaotic MIMO-OFDM System for Improved Performance in Future Cellular Wireless Networks. International Journal of Communications, 1, 75-85

 

cc.png
Copyright © 2017 Author(s) retain the copyright of this article.
This article is published under the terms of the Creative Commons Attribution License 4.0