Samarendra Nath Sur; Soumyasree Bera; Arun Kumar Singh; Rabindranath Bera; B.Maji

Performance Analysis of VBLAST Based MIMO OFDM System in Vehicular Channel

Full Text (PDF, 438KB), PP.62-68

Views: 0 Downloads: 0

Author(s)

Samarendra Nath Sur ^1,* Soumyasree Bera ¹ Arun Kumar Singh ¹ Rabindranath Bera ¹ B.Maji ²

1. Department of Electronics and Communication Engineering, Sikkim Manipal Institute of Technology, Sikkim, India

2. Department of Electronics and Communication Engineering, National Institute of Technology, Durgapur, West Bengal, India

* Corresponding author.

DOI: https://doi.org/10.5815/ijisa.2014.12.09

Received: 23 Jan. 2014 / Revised: 1 May 2014 / Accepted: 25 Jul. 2014 / Published: 8 Nov. 2014

Index Terms

MIMO, Doppler, OFDM, Nakagami-M Channel, Probability Density Function (PDF)

Abstract

Vehicular communication is emerging as an important ingredient for successful implement of Intelligent Transportation Systems(ITS). But the development of suitable communications systems plays an important role in mobility condition. The desired system should support dynamic wireless exchange of data between nearby vehicles or road side infrastructure. In this regards multiple input and multiple output (MIMO) orthogonal frequency domain multiplexing (OFDM) system is possibly the best solution. This paper deals with the performance analysis of the MIMO OFDM system in Nakagami-m channel with Doppler shift and also partial hardware implementation of baseband signal processing.

Cite This Paper

Samarendra Nath Sur, Soumyasree Bera, Arun Kumar Singh, Rabindranath Bera, B.Maji, "Performance Analysis of VBLAST Based MIMO OFDM System in Vehicular Channel", International Journal of Intelligent Systems and Applications(IJISA), vol.6, no.12, pp.62-68, 2014. DOI:10.5815/ijisa.2014.12.09

Reference

[1]http://www.transport-research.info/web/themes/ technology.cfm

[2]Thematic Research Summary: “Intelligent transport systems”, Transport Research Knowledge Centre, European commission, DG Energy and Transport, Prepared by Zuzana !itavancová Martin Hájek, Date 02/04/2009.

[3]http://egov.eletsonline.com/2012/08/sustainable-public-transportation-through-ict/

[4]EU. eSafety, “Final Report of the eSafety Working Group on Road Safety”, November, pp.7-39, 2002

[5]J. K. Hedrick, et al., “Control Issues in Automated Highway Systems”, IEEE Control Systems, Vol.14, No. 6, pp.21-32, 1994

[6]ITS Technical Note For Developing Countries, Toshiyuki Yokota, Sr . Transport Specialist Transport and Urban Development Department.

[7]‘Intelligent Transport Systems and CLAM’ ITU Technology Watch Report 1, October 2007 (http://www.scribd.com/doc/17501030/Intelligent-Transport-Systems-and-CALM)

[8]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, APRIL2004.

[9]Li Tang, Zhu Hongbo,”Analysis and Simulation of nakagami fading channel with Matlab,”Asia-Pacific conference on environmental electromagnetic CEEM’2003, China,pp. 490-494.

[10]M. Nakagami, “The m-distribution, a general formula of intensity distribution of rapid fading,” in Statistical Methods in Radio Wave Propagation, W. G. Hoffman, Ed, Oxford, England: Pergamum, 1960.

[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]Samarendra Nath Sur and Rabindranath Bera, “Doppler Shift Impact On The MIMO OFDM System In Vehicular Channel Condition” IJITCS, VOL.4, NO.8, July, 2012, pp- 57-62.

[15]Sang Goo Kim, Dongweon Yoon, Zhengyuan Xu, and Sang Kyu Park, “Performance Analysis of the MIMO Zero-Forcing Receiver over Continuous Flat Fading Channel”, ICIS, 23-25 June 2010

[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.

International Journal of Intelligent Systems and Applications (IJISA)