CFP last date
20 January 2025
Reseach Article

A Performance Comparison of Spatial Multiplexing MIMO Detectors

by Ronak R. Vashi, Amit H.Choksi, Kaushal R. Patel, Mayur M.Sevak
International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 125 - Number 3
Year of Publication: 2015
Authors: Ronak R. Vashi, Amit H.Choksi, Kaushal R. Patel, Mayur M.Sevak
10.5120/ijca2015905851

Ronak R. Vashi, Amit H.Choksi, Kaushal R. Patel, Mayur M.Sevak . A Performance Comparison of Spatial Multiplexing MIMO Detectors. International Journal of Computer Applications. 125, 3 ( September 2015), 6-9. DOI=10.5120/ijca2015905851

@article{ 10.5120/ijca2015905851,
author = { Ronak R. Vashi, Amit H.Choksi, Kaushal R. Patel, Mayur M.Sevak },
title = { A Performance Comparison of Spatial Multiplexing MIMO Detectors },
journal = { International Journal of Computer Applications },
issue_date = { September 2015 },
volume = { 125 },
number = { 3 },
month = { September },
year = { 2015 },
issn = { 0975-8887 },
pages = { 6-9 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume125/number3/22410-2015905851/ },
doi = { 10.5120/ijca2015905851 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T23:15:33.031995+05:30
%A Ronak R. Vashi
%A Amit H.Choksi
%A Kaushal R. Patel
%A Mayur M.Sevak
%T A Performance Comparison of Spatial Multiplexing MIMO Detectors
%J International Journal of Computer Applications
%@ 0975-8887
%V 125
%N 3
%P 6-9
%D 2015
%I Foundation of Computer Science (FCS), NY, USA
Abstract

Many techniques are used in MIMO for various purposes, such as SM (spatial multiplexing), SD (spatial diversity) and antenna beam forming. Among them spatial multiplexing is used in MIMO for accommodating high data-rates applications. In, SM, independent information sequences called as layers are simultaneously transmitted from independent antennas. So, the overall bit-rate compared to single antenna system is thus largely enhanced without requiring extra bandwidth or extra transmission power. However during transmission through channel, individual layers are overlying with each other and MSI (multi stream interference) will occurs at the receiver. So, it is very difficult to obtain intended symbol from the bunch of streams. To solve out this problem of MSI various approaches have been proposed, which provides efficient approximate solution of the detection problem at receiver. Such as zero forcing (ZF), minimum mean square error (MMSE), successive interference cancellation (SIC), Ordered successive interference cancellation (OSIC). In this paper error performance of these SM detection schemes are investigated. They are compared on the basis of their BER performance.

References
  1. A. J. Paulraj, D. A. Gore, R. U. Nabar, and H. Boelcskei. 2004 An overview of MIMO communications – A key to gigabit wireless Proc. IEEE, vol. 92, no. 2, pp. 198–218
  2. David Tse & Pramod Viswanath, Fundamental of Wireless Communication, Cambridge.
  3. G. D. Golden, G. J. Foschini, R. A. Valenzuela, and P. W. Wolniansky. 1999 Detection algorithm and initial laboratory results using V-BLAST space-time communication architecture, Electron. Letters, vol. 35, no. 1, pp. 14–16
  4. G. J. Foschini. 1996 Layered space-time architecture for wireless communication in a fading environment when using multiple antennas, Bell Lab. Technical Journal, vol. 1, no. 2, pp. 41-59
  5. G. J. Foschini and M. J. Gans. 1998 On limits of wireless communications in a fading environment when using multiple antennas Wireless Personal Communications, vol. 6, pp. 311–335
  6. I. Berenguer and X. Wang. 2003 Space-Time Coding and Signal Processing for MIMO Communications Journal Computer Science and Technology, vol. 18, no. 6, pp. 689-702
  7. I. E. Telatar. 1995 Capacity of multi-antenna Gaussian channels, Tech. Rep. #BL0112170-950615-07TM, AT & T Bell Laboratories
  8. IEEE P802.11n/D1.0. 2009 Draft Amendment to STANDARD [FOR] Information Technology-Telecommunications and information exchange between systems-Local and Metropolitan networks-Specific requirements-Part 11: Wireless LAN Medium Access Control (MAC) and Physical Layer (PHY) specifications: Enhancements
  9. Jan Mietzner, Robert Schober, L. Lampe. 2009 Multiple-Antenna Techniques for Wireless Communications – A Comprehensive Literature Survey, IEEE Communications Surveys & Tutorials, Vol. 11, No.2
  10. S.M.Alamouti. 1998 A simple transmit diversity technique for wireless communications, IEEE J. Select. Areas Commun., vol. 16, no. 8, pp.1451–1458
  11. S. Sanhdu and A. Paulraj. 2000 Space-time block codes: a capacity perspective”, IEEE Commun. Letters, vol. 4, no. 12, pp. 384-386
  12. Theodore S. Rappaport, A. Annamalai, R. M. Buehrer, and William H. Tranter. 2002 Wireless communications: Past events and a future perspective. IEEE Communications Magazine
  13. Thomas Paul and Tokunbo Ogunfunmi. Wireless LAN Comes of Age:Understanding the IEEE 802.11n Amendment, IEEE Circuits and systems magazine.
Index Terms

Computer Science
Information Sciences

Keywords

ZF MIMO MMSE OSIC QAM.