Performance Analysis of a Combined Ordered Successive and Interference Cancellation Using Zero-Forcing Detection over Rayleigh Fading Channels in MIMO Systems

Multiple Input Multiple Output (MIMO) systems are wireless systems with multiple antenna elements at both ends of the link. Wireless communication systems demand high data rate and spectral efficiency with increased reliability. MIMO systems have been popular techniques to achieve these goals because increased data rate is possible through spatial multiplexing scheme and diversity. Spatial Multiplexing (SM) is used to achieve higher possible throughput than diversity. In this paper, we propose a Zero- Forcing (ZF) detection using a combination of Ordered Successive Interference Cancellation (OSIC) and Zero Forcing using Interference Cancellation (ZF-IC). The proposed method used an OSIC based on Signal to Noise Ratio (SNR) ordering to get the estimation of last symbol, then the estimated last symbol is considered to be an input to the ZF-IC. We analyze the Bit Error Rate (BER) performance of the proposed MIMO system over Rayleigh Fading Channel, using Binary Phase Shift Keying (BPSK) modulation scheme. The results show better performance than the previous methods.

Authors:

• Jamal R. Elbergali

Keywords:

• SNR
• BER
• BPSK
• MIMO
• Modulation
• Zero forcing (ZF)
• OSIC
• ZF-IC
• Spatial Multiplexing (SM).

References:

[1] P. Botha, and B. Maharaj, “Iterative zero-forcing MIMO decoder with
symbol sorting”, SATNAC 2014, September 2014.
[2] V. Nayak, G. Bhangle, and M. Raje, “Diversity Performance of MIMOOFDM
systems”, International Journal of Engineering Research &
Technology (IJERT), Vol. 1 Issue 8, October – 2012. [3] Changick Song, Kyoung-Jae Lee, Inkyu Lee, “Performance Analysis of
MMSE-Based Amplify and Forward Spatial Multiplexing MIMO
Relaying Systems”, IEEE Transaction on Communications, vol. 10, pp.
2445 - 2450, July 2011.
[4] Lajos Hanzo, Yosef (Jos) Akhtman, Li Wang and Ming Jiang, “MIMOOFDM
for LTE, Wi-Fi and WiMAX ”, John Wiley & Sons,UK,2011.
[5] J. Andrews, “Fundamentals of WiMAX Understanding Broadband
Wireless Networking”, Prentice Hall, 2007.
[6] S. Sesia, I. Toufik, and M. Baker, “LTE – The UMTS Long Term
Evolution: From Theory to Practice”, John Wiley & Sons Ltd, 2011.
[7] M. Ergen, “Mobile Broadband Including WiMAX and LTE”, Springer
Science+Business Media, LLC 2009.
[8] Y. Cho, “MIMO-OFDM Wireless Communications with MATLAB”,
John Wiley & Sons, 2010.
[9] L. Korowajczuk, “LTE, WiMAX and WLAN Network Design,
Optimization and Performance Analysis”, John Wiley & Sons, Ltd,
2011.
[10] H. Jafarkhani, “Space-Time Coding”, Cambridge University Press, 2005.
[11] J. G. Proakis, “Digital Communications”, 3rd ed., McGraw-Hill, 1995.
[12] S. Verdu, “Multiuser Detection. Cambridge University Press”, 1998.
[13] G. Foschini and M. Gans, “On limits of wireless communications in a
fading environment when using multiple antennas”, Wireless Personal
Communications, 6:311–335, March 1998.
[14] E. Teletar, “Capacity of multi-antenna Gaussian channels”, European
Transactions Telecommunications, 6:585–595, November–December
1999.
[15] Golden, G. D., Foschini, C. J., Valenzuela, R. A., and Wolniansky, P.W.
(1999) Detection algorithm and initial laboratory result using V-BLAST
space-time communication architecture. Electron. Lett., 35(1), 14–15.
[16] Wolniansky, P., Foschini, G., Golden, G., and Valenzuela, R. (Sep.
1998) V-BLAST: architecture for realizing very high data rates over the
rich-scattering wireless channel. Proc. ISSSE’98, Pisa, Italy, pp. 295–
300.
[17] J. Hampton, “Introduction to MIMO Communications Cambridge
University Press, 2014.
[18] R. W. Heath and A. J. Paulraj, “Switching between multiplexing and
diversity based on constellation distance”, In Proceedings, Allerton
Conference on Communications, Control, and Computing, September
2000.