INFORMATION CHANGE THE WORLD

International Journal of Information Technology and Computer Science(IJITCS)

ISSN: 2074-9007 (Print), ISSN: 2074-9015 (Online)

Published By: MECS Press

IJITCS Vol.4, No.8, Jul. 2012

Doppler Shift Impact On The MIMO OFDM System In Vehicular Channel Condition

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Author(s)

Samarendra Nath Sur,Rabindranath Bera

Index Terms

MIMO, OFDM, Nakagami Channel, Doppler Shift, Inter carrier interference, Bit error rate

Abstract

Vehicle-to-vehicle (V2V) communication systems will play an important role in intelligent transportation systems (ITS). But in high mobility road condition, orthogonal frequency division multiplexing (OFDM) is very sensitive to Doppler shift. In this scenario multiple input and multiple output (MIMO) system combined with OFDM, make MIMO -OFDM techniques very attractive and productive for vehicle-to-vehicle communications. This paper deals with the bit error rate (BER) performance analysis of MIMO-OFDM system in high way road condition which is modeled based on the Nakagami fading characteristic. The system performance is analyzed with the change in m value of Nakagami channel and also with the variation in the modulation schemes.

Cite This Paper

Samarendra Nath Sur, Rabindranath Bera, "Doppler Shift Impact On The MIMO OFDM System In Vehicular Channel Condition", International Journal of Information Technology and Computer Science(IJITCS), vol.4, no.8, pp.57-62, 2012. DOI: 10.5815/ijitcs.2012.08.07

Reference

[1]Huang, X; (2006):”Smart Antennas for Intelligent Transportation Systems”, 6th International Conference on ITS Telecommunications Proceedings, 2006.

[2]J.Njordand et.al. “Safety Applications of Intelligent Transportation Systems in Europe and Japan, American Trade Initiatives, January 2006.

[3]Nirmalendu Bikas Sinha1, Manish Sonal, Makar Chand Snai, R.Bera and M.Mitra, “Modelling and Implementation of ITWS: An ultimate solution to ITS”, Journal Of Telecommunications, Volume 2, Issue 1, February 2010, Pp-17-27.

[4]Masaaki Harada, “Performance analysis of coded MIMO OFDM in multipath fading channel”,IEICE Electronics Express, vol.8, No.19, pp-1596-1601.

[5]Ghasan Ali Hussain, Makhfudzah Bt. Mokhtar and Raja Shamsul Azmir B. Raja, “Concatenated RS-Convolutional Codes for MIMO-OFDM System”, Asian journal of applied science 4(7), 2011, pp-720-727.

[6]M.P. CHITRA and Dr. S.K.SRIVATSA, “Ber Analysis Of Coded And Uncoded Mimo-Ofdm System In Wireless Communication”, IJCSE, Vol. 1 No. pp-4 357-363.

[7]A. Omri and R. Bouallegue, “New Transmission Scheme For Mimo-Ofdm System”, IJNGN, Vol.3, No.1, March 2011, pp- 11-19.

[8]F.Javier L´opez-Marti´ınez, Eduardo Martos-Naya, Jose´ F. Paris, AndreaJ.Goldsmith, “BER Analysis for MIMO-OFDM Beamforming with MRC under Channel Prediction and Interpolation Errors”, IEEE "GLOBECOM" 2009.

[9]Zhongshan Zhang, Lu Zhang, Mingli You, and Ming Lei, “Bit Error Rate Approximation of MIMO-OFDM Systems with Carrier Frequency Offsetand Channel Estimation Errors”, EURASIP Journal on Wireless Communications and Networking, Volume 2010,ArticleID176083, pp 1-14.

[10]Tiejun (Ronald) Wang, ,John G. Proakis, Elias Masry, and JamesR. Zeidler, “Performance Degradation of OFDM Systems Due to Doppler Spreading”, IEEE Transactions On Wireless Communications, VOL.5, NO.6, JUNE 2006, pp-1422-1432.

[11]Himal A. Suraweera and Jean Armstrong, “Performance of V-BLAST MIMO-OFDM Systems with Carrier Frequency Offset” Au sCTW 2005, 2005, pp-73-78.

[12]J. Armstrong, P. M. Grant and G. Povey, “Polynomial cancellation coding of OFDM to reduce the intercarrier interference due to Doppler spread,” in Proc. IEEE GLOBECO M 98 , Sydney, Australia, Nov. 1998 , pp. 2771-2776.

[13]Srabani Mohapatra and Susmita Das, “Performance Enhancement of OFDM System with ICI Reduction Technique”, Proceedings of the World Congress on Engineering 2009, Vol 1, WCE 2009, July 1-3, 2009. 

[14]Hyundong Shin, and JaeHong Lee, “On the Error Probability of Binary and M-ary Signals in Nakagami-m Fading Channels” IEEE Transactions On Communications, VOL.52, NO.4, APRIL 2004.

[15]Li Tang Zhu Hongbo, “Analysis and Simulation of Nakagami Fading Channel with MATLAB”, CEEm 2003, Nov. 4-7, Hangzhou, China, pp- 490-494.

[16]A. Annamalai, and C. Tellambura, “Error Rates for Nakagami-m Fading Multi-channel Reception of Binary and M-ary Signals”, IEEE Transactions On Communications, VOL. 49, NO.1, JANUARY 2001. 

[17]M.K. Simon and M.-S. Alouini, “Digital Communication Over Fading Channels: A Unified Approach to Performance Analysis”. NewYork: Wiley,2000.

[18]Tahmid Quazi and HongJun Xu1, “Performance analysis of adaptve M-QAM over a fat-fading Nakagami-m channel”, S Afr J Sci. 2011;107(1/2), Art. #122, 7 pages. DOI: 10.4102/sajs.v107i1/2.122.