ENHANCED V-BLAST PERFORMANCE IN MIMO WIRELESS COMMUNICATION SYSTEMS

Byung Moo Lee, Rui J. P. de Figueiredo
Laboratory for Intelligent Signal Processing and Communications University of California, Irvine
byungl@uci.edu, rui@uci.edu

DOI: 10.36724/2664-066X-2021-7-6-26-30

SYNCHROINFO JOURNAL. Volume 7, Number 6 (2021). P. 26-30.

Abstract

We have presented performance analysis of E-V-BLAST and according to this analysis, we found some useful characteristics of the E-V-BLAST algorithm for performance and complexity trade-off. Increasing S is applying ML detection with depth T for some most error likely signals. Increasing T is improving the ML detection with depth T. Increasing T will not affect so much to the performance of E-V-BLAST at high SNR. The importance of increasing T depends on S. Recently, a new detection algorithm for the Vertical Bell Laboratories Layered Space Time (V-BLAST) system, which we call Enhanced-V-BLAST, or simply E-V-BLAST, was proposed. In the present paper, we analyze the performance of E-V-BLAST as a function of the two inherent adjustable parameters of E-V-BLAST. On the basis of this analysis, we obtain some useful characteristics of the E-V-BLAST algorithm which allow one to achieve the desired performance and complexity trade-off.

Keywords Vertical Bell Laboratories Layered Space Time, Wireless Communication Systems, MIMO.

References

[1] Ashish Bhargave, Rui. J. P. de Figueiredo and Torbjorn Eltoft. A Detection algorithm for the V-BLAST System, GLOBECOM 01, IEEE 2001, Vol 1 pp. 494-498.
[2] G.J. Foschini. Layered Space-Time Architecture for Wireless Communication in a Fading Environment When Using Multiple Antennas, Bell Laboratories Technical Journal, Vol. 1, No 2, pp. 41-59, Autumn 1996.
[3] G.J. Foschini and M.J. Gans. On the Limits of Wireless Communication in a Fading Environment When Using Multiple Antennas, Wireless Personal Communications, Vol. 6(3), pp. 311-335, 1998.
[4] P.W. Wolniansky, G.J. Foschini, G.D. Golden, R.A. Valenzuela. V-BLAST: An architecture for realizing very high data-rates over the rich-scattering wireless channel, Proc. IEEE ISSSE-98, Pisa, Italy, 30th September 1998. IEEE.
[5] Won-Joon Choi, Rohit Negi, and John M. Cioffi. Combined ML and DFE decoding for the V-BLAST System, Proc. IEEE ICC-00, New Orleans, LA, USA, pp.18-22 June 2000.
[6] John G. Proakis, Digital Communications. McGraw-Hill, third edition, 1995.
[7] D. Wubben, R. Bohnke, J. Rinas, V. Kuhn, K.D. Kammeyer. Efficient algorithm for decoding layered space-time codes, Electronics Letters, Vol. 37, Issue 22, pp. 1348- 1350, Oct. 2001.
[8] M.O. Damen, K. Abed-Meraim, and S. Burykh. Iterative QR detection for BLAST, Wireless Personal Communications, Vol 19, No 3, pp. 179-192, Dec. 2001.
[9] Ke Liu and Akbar M. Sayeed. An Iterative Extension of BLAST Decoding Algorithm for Layered Space-Time Signals, Submitted to the IEEE Transactions on Communications, Oct. 2002.
[10] M. Sellathurai and S. Haykin. Turbo-BLAST for Wireless Communications: Theory and Experiments, IEEE Transactions on Signal Processing, Vol. 50, pp. 2538-2546, Oct. 2002.