Selective Spanning With Fast Enumeration Algorithm for MIMO

Sruthy L, L Bharathi, P Malini


Multiple input multiple output system have been emerged technology to increase channel capacity and a technical breakthrough for high data rate wireless transmission. The main objective of MIMO system is to obtain low Symbol Error Rate (SER) and acceptable computational complexity. The MIMO system cannot be implemented due to complexity problem. The complexity of MIMO system can be reduced by using different detector algorithms. In this paper, the performance of MIMO system over AWGN (Additive White Gaussian Noise) with ZF, MMSE, SD, K best algorithm and SSFE are analyzed using different antenna configuration. The Bit Error Rate performance of all detectors are studied for 16QAM modulation technique using AWGN channel for the analysis purpose and their effect on BER (Bit Error Rate) have been presented.

Full Text:



L. G. Barbero and J. S. Thompson, “Fixing the Complexity of the Sphere Decoder for MIMO Detection,” IEEE Transactions on Wireless Communications, vol. 7, no. 6, pp. 2131–2142, June 2008.

R.spk.Babu, G.Gandhimathi, “Sphere decoders for massive MIMO systems: A survey,”IEEE Trans on Wireless Communications, vol. 9,no.11,pp.3590-3600, Nov 2010.

G. Barbero and J. S. Thompson, “Performance Analysis of a Fixed Complexity Sphere Decoder in High-Dimensional MIMO Systems,” in 2006 IEEE International Conference on Acoustics Speech and Signal Processing Proceedings, vol. 4, May 2006, pp. IV–IV.

X. Chu and J. McAllister, “Software-Defined Sphere Decoding for FPGA-Based MIMO Detection,” IEEE Transactions on Signal Processing vol. 60, no. 11, pp. 6017–6026, Nov 2012.

M. Li, B. Bougard, D. Novo, W. V. Thillo, L. V. der Perre, and F. Catthoor, “Adaptive SSFE Near-ML MIMO Detector With Dynamic Search Range and 80-103 Mbps Flexible Implementation,” in IEEE GLOBECOM 2008 - 2008 IEEE Global Telecommunications Conference.

Kuang-Hao Lin*, Chih-Hung Lin, Robert Chen-Hao Chang, Member, IEEE, and I-Ju Chang, “Reconfigurable K-Best Algorithm for MIMO Detection Systems” vol 66,no. 10, 2009 IEEE.

Q. Li and Z. Wang, “Improved K-Best Sphere Decoding Architecture for MIMO Systems,” in Proc. IEEE Int. Symp. Circuits Syst., pp. 1159–1162, May 2006.

M. Damen, H. El Gamal, G. Caire, On maximum-likelihood detection and the search for the closest lattice point, Information Theory, IEEE Transactions on 49 (10) (2003) 2389–2402.

A. Burg, N. Felber, W. Fichtner, “Maximum likelihood decoder for multiple-input multiple-output systems with QPSK modulation,”in: Electronics, Circuits and Systems, 2003. ICECS 2003. Proceedings of the 2003 10th IEEE International Conference on, Vol. 1, 2003, pp. 332 – 335 Vol.1. doi:10.1109/ICECS.2003.1302044.

K.D.Kulat and Deepali shelke,” Performance analysis of ZF and MMSE receiver algorithms,”IJREAS,vol.03,Issue 01, Jan 2015.

Chengzhe Piao, Yang Liu, Kaihua Jiang, Xinyu Mao,” Dynamic K-Best Sphere Decoding Algorithms for MIMO Detection,” Communications and Network, 2013, 5, 103-107.

Li Q and Wang Z,(2006) “An improved K-best sphere decoding architecture for MIMO systems,” in 40th Asilomar Conf. Signals, Syst. Comput., pp. 2190–2194.

Guo Z and Nilsson P,(2006) “Algorithm and implementation of the K-best sphere decoding for MIMO detection,” IEEE J. Sel. Areas Commun.,vol. 24, no.3,pp.491–503.

Nadia Khaled, Geert Leus, Claude Desset, Hugo De Man “A Robust Joint Linear Precoder and Decoder MMSE Design For Slowly Time- Varying MIMO Channels” ICASSP ©2004 IEEE.

Navjot Kaur and Lavish Kansal “Performance Comparison of MIMO Systems over AWGN and Rician Channels with Zero Forcing Receiver” International Journal of Wireless & Mobile Networks (IJWMN) Vol. 5, No. 1, February 2013

Shannon C. E., “A Mathematical Theory of Communication,” The Bell System Technical Journal, Vol. 27, No. 3, Pp. 379–423, Jul. 1948.

Shaoshi Yang, Fifty Years of MIMODetection Shirly Edward A. and Malarvizhi S. “Modified K-Best Detection Algorithm for MIMO Systems” ©2006-2015 Asian Research Publishing Network Journal of Engineering and Applied Sciences VOL. 10, NO. 5, March 2015.



  • There are currently no refbacks.