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Reseach Article

Performance Evaluation of Detection Schemes for MIMO-OFDM System in Extended Vehicular Environment

Published on September 2014 by Neha Kothari, P. C. Bapna, Sunil Joshi
Recent Advances in Wireless Communication and Artificial Intelligence
Foundation of Computer Science USA
RAWCAI - Number 2
September 2014
Authors: Neha Kothari, P. C. Bapna, Sunil Joshi
eb57d1a1-e9fc-464c-bc19-7a35d937294a

Neha Kothari, P. C. Bapna, Sunil Joshi . Performance Evaluation of Detection Schemes for MIMO-OFDM System in Extended Vehicular Environment. Recent Advances in Wireless Communication and Artificial Intelligence. RAWCAI, 2 (September 2014), 24-26.

@article{
author = { Neha Kothari, P. C. Bapna, Sunil Joshi },
title = { Performance Evaluation of Detection Schemes for MIMO-OFDM System in Extended Vehicular Environment },
journal = { Recent Advances in Wireless Communication and Artificial Intelligence },
issue_date = { September 2014 },
volume = { RAWCAI },
number = { 2 },
month = { September },
year = { 2014 },
issn = 0975-8887,
pages = { 24-26 },
numpages = 3,
url = { /proceedings/rawcai/number2/17924-1424/ },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Proceeding Article
%1 Recent Advances in Wireless Communication and Artificial Intelligence
%A Neha Kothari
%A P. C. Bapna
%A Sunil Joshi
%T Performance Evaluation of Detection Schemes for MIMO-OFDM System in Extended Vehicular Environment
%J Recent Advances in Wireless Communication and Artificial Intelligence
%@ 0975-8887
%V RAWCAI
%N 2
%P 24-26
%D 2014
%I International Journal of Computer Applications
Abstract

In the present paper performance analysis for Multiple-Input Multiple-Output (MIMO)-Orthogonal Frequency Division Modulation (OFDM) system with various detection schemes is reported. The performance of two detection techniques i. e Zero Forcing (ZF) and Minimum Mean Square Error (MMSE) is measured for various modulation schemes viz 4-QAM,16-QAM,64-QAM and 256-QAM. Extended vehicular environment with Low Correlation is assumed for simulation. The investigations reported in this paper helps in estimating the optimal MIMO detector.

References
  1. E. Telatar,"Capacity of multi-antenna Gaussian channels," European Trans. on Telecommunications, vol. 10, pp. 585-595, Dec. 1999.
  2. DayanandSahu,Ranbir Kumar Paul & Nitin Jain, "Increasing Channel Capacity Using MIMO Spatial Modulation Technique"International Journal of Engineering Research & Technology (IJERT)Vol. 2 Issue 4, April - 2013 ISSN: 2278-0181
  3. Hammarberg et al. "Iterative receivers with channel estimation for multi-user MIMO-OFDM: complexity and performance" EURASIP Journal on Wireless Communications and Networking 2012, 2012:75
  4. N. Achra, G. Mathur, Prof. R. P. Yadav "Performance Analysis of MIMO OFDMSystem for Different Modulation Schemesunder Various Fading Channels" International Journal of Advanced Research in Computer and Communication EngineeringVol. 2, Issue 5, May 2013
  5. DominikSeethaler, Harold Art´es, and Franz Hlawatsch "Detection Techniques For MIMO Spatial Multiplexing Systems" in Elektrotechnik und Informationstechnik (e&i), vol. 122, no. 3, March 2005, pp. 91–96.
  6. Jin-Sung Kim, Sung-Hyun Moon, and Inkyu Lee, "A New Reduced Complexity ML Detection Scheme for MIMO Systems" IEEE Journals and Magazines, vol. -58, Issue 4, pp. 1302 – 1310, April 2010.
  7. Dr. Jayakumari. J. "MIMO-OFDM for 4G Wireless Systems"in International Journal of Engineering Science and Technology Vol. 2(7), 2010, 2886-2889
  8. Gessese Mengistu Kebede ,Oladele Olayinka Paul "Performance Evaluation of LTE Downlink with MIMO Techniques" Master Thesis Electrical Engineering Thesis no: MEE10:104 November, 2010 School of Engineering Blekinge Institute of Technology 371 79 Karlskrona Sweden
Index Terms

Computer Science
Information Sciences

Keywords

Mimo-ofdm Qam Snr Ber Mmse Zf