Home   >   CSC-OpenAccess Library   >    Manuscript Information
Full Text Available

(216.14KB)
This is an Open Access publication published under CSC-OpenAccess Policy.
Performance Analysis of MIMO-OFDM System Using QOSTBC Code Structure for M-PSK
Ankush Kansal, Lavish Kansal, Kulbir Singh
Pages - 19 - 32     |    Revised - 01-05-2011     |    Published - 31-05-2011
Volume - 5   Issue - 2    |    Publication Date - May / June 2011  Table of Contents
MORE INFORMATION
KEYWORDS
MIMO, OFDM, QOSTBC, M-PSK
ABSTRACT
MIMO-OFDM system has been currently recognized as one of the most competitive technology for 4G mobile wireless systems. MIMO-OFDM system can compensate for the lacks of MIMO systems and give play to the advantages of OFDM system. In this paper, a general Quasi orthogonal space time block code (QOSTBC) structure is proposed for multiple-input multiple-output–orthogonal frequency-division multiplexing (MIMO-OFDM) systems for 4X4 antenna configuration. The signal detection technology used in this paper for MIMO-OFDM system is Zero-Forcing Equalization (linear detection technique). In this paper the analysis of high level of modulations (i.e. M-PSK for different values of M) on MIMO-OFDM system is presented. Here AWGN and Rayleigh channels have been used for analysis purpose and their effect on BER for high data rates have been presented. The proposed MIMO-OFDM system with QOSTBC using 4X4 antenna configuration has better performance in terms of BER vs SNR than the other systems.
CITED BY (9)  
1 Pandey, D., & Dewangan, N. (2015, September). Performance analysis of pilot assisted channel estimation in OFDM. In Computer, Communication and Control (IC4), 2015 International Conference on (pp. 1-6). IEEE.
2 Singal, A., & Kedia, D. (2014).Design Issues and Challenges in MIMO-OFDM System: A Review. IUP Journal of Telecommunications, 6(1), 7.
3 Pandey, D., & Dewangan, N. (2014). MSE and SER Compare For LS, MMSE and SMMSE for BCE Technique in OFDM. i-Manager's Journal on Communication Engineering and Systems, 3(3), 14.
4 Kaur, N., & Kansal, L. (2013).Peak to Average Power Ratio Reduction of OFDM Signal by Combining Clipping with Walsh Hadamard Transform. International Journal of Wireless & Mobile Networks, 5(1), 33.
5 Kaur, N., & Kansal, L. (2013).Reducing the Peak to Average Power Ratio of OFDM Signal through Discrete Cosine Transform-II. International Journal of Electrical, Electronics and Computer Systems, 12(2).
6 Kaur, N., & Kansal, L. (2013).Performance Comparison of MIMO Systems over AWGN and Rayleigh Channels using OSTBC3 with Zero Forcing Receivers. International Journal of Electrical, Electronics and Computer Systems, 12(2), 686-693.
7 Kaur, L. K. (2013). Peak to Average Power Ratio Reduction of OFDM Signal by Combining Clipping with Discrete Cosine Transform-II. Global Journal of Researches In Engineering, 13(6).
8 Kaur, N., & Kansal, L. (2013).Discrete cosinetransform-ii for reduction in peak to average power ratio of ofdm signals through µ-law companding technique. international journal of wireless & mobile networks, 5(2), 143.
9 Kaur, N., & Kansal, L. PAPR Reduction of OFDM Signal by Using Walsh Hadamard Transform with µ-Law Companding.
1 Google Scholar
2 CiteSeerX
3 refSeek
4 iSEEK
5 Scribd
6 SlideShare
7 PdfSR
1 H. Jiang and P. A. Wilford, "A hierarchical modulation for upgrading digital broadcasting systems", IEEE Transaction on Broadcasting, vol. 51, pp. 222-229, June 2005.
2 P. W. Wolniansky, G. J. Foschini, G. D. Golden and R. A. Valenzuela, "V-BLAST: an architecture for realizing very high data rates over the rich- scattering wireless channel," In Proceeding of International symposium on Signals, Systems and Electronics, October 1998, pp. 259-300.
3 M. Jiang and L. Hanzo, “Multiuser MIMO-OFDM for next generation wireless systems,” In Proceedings of IEEE, vol. 95, pp.1430-1469, July 2007.
4 C. C. Tu and B. Champagne, “Subspace Blind MIMO-OFDM Channel Estimation with Short Averaging Periods: Performance Analysis,” In Proceeding of IEEE Conference on Wireless Communications and Networking, (Las Vegas, NV) April 2008, pp. 24–29.
5 A. Tarighat and A. H. Sayed, “MIMO OFDM receivers for systems with IQ imbalances”, IEEE Transactions on Signal Processing, vol. 53, pp. 3583–3596, September 2005.
6 P. Rabiei, W. Namgoong and N. Al-Dhahir, “Frequency domain joint channel and phase noise estimation in OFDM WLAN systems,” In Proceeding of Asilomar Conference on Signals, Systems and Computers, (Pacific Grove, CA)October 2008, pp. 928–932.
7 A. Tarighat, R. Bagheri and A. H. Sayed, “Compensation schemes and performance analysis of IQ imbalances in OFDM receivers,” IEEE Transactions on Signal Processing, vol. 53, pp. 3257–3268, August 2005.
8 S. Wu and Y. Bar-Ness, “OFDM systems in the presence of phase noise: Consequences and solutions,” IEEE Transactions on Communications, vol. 52, pp. 1988–1996, November 2004.
9 S. Alamouti, “A simple transmit diversity technique for wireless communications,” IEEE Journal on Selected Areas Communication., vol. 16, pp. 1451–1458, October 1998.
10 H. El Gamal and A. R. Hammons, “On the design of algebraic space time codes for MIMO blockfading channels,” IEEE Transaction on Information Theory, vol. 49, pp. 151–163, 2003.
11 W. Su, Z. Safar and K. J. R. Liu, “Towards maximum achievable diversity in space, time, and frequency: performance analysis and code design,” IEEE Transaction on Wireless Communication, vol. 4, pp. 1847–1857, 2005.
12 V. Tarokh, N. Seshadri and A. R. Calderbank, “Space–time codes for high data rate wireless communication: Performance criterion and code construction,” IEEE Transaction on Information Theory, vol. 44, pp. 744–765, March 1998.
13 R. Y. Mesleh, H. Haas, S. Sinanovic, C. W. Ahn and S. Yun, "Spatial modulation”, IEEE Transaction on Vehicular Technology, vol. 57, pp. 2228-2241, July 2008.
14 J. Jeganathan, A. Ghrayeb, and L. Szczecinski, "Spatial modulation: Optimal detection and performance analysis," IEEE Communication Letters, vol. 12, pp. 545-547, August 2008.
15 A. Yiwleak and C. Pirak, “Intercarrier Interference Cancellation Using Complex Conjugate Technique for Alamouti-Coded MIMO-OFDM Systems” In Proceeding of International conference on Electrical Engineering/Electronics Computer Telecommunications and Information Technology, (Chaing Mai) 2010, pp-1168-1172.
16 P. S. Mundra , T. L. Singal and R. Kapur, “The Choice of A Digital Modulation ,Schemes in A Mobile Radio System”, In proceedings of IEEE Vehicular Technology Conference, ( Secaucus, NJ)1993, pp 1-4.
17 W.A.C. Fernando, R.M.A.P. Rajatheva and K. M. Ahmed, “Performance of Coded OFDM with Higher Modulation Schemes”, In proceedings of International Conference on Communication Technology, Vol. 2, (Beijing)1998, pp 1-5.
18 J. J. V. de Beek, O. Edfors, M. Sandell, S.K. Wilson and P.O. Borjesson, “On channel estimation in OFDM systems” , In proceedings of 45th IEEE Vehicular Technology Conference, Vol. 2, (Chicago, IL)1995, pp 815-819.
19 S. Kaiser, “On the performance of different detection techniques for OFDM-CDMA in fading channels”, In proceedings of IEEE Global Telecommunication Conference, Vol. 3, 1995, pp 2059- 2063.
20 H.B. Voelcker , “Phase-shift keying in fading channels” , In IEEE Proceeding on Electronics and Communication Engineering, Vol. 107, 1960, pp 31-38.
21 A. van Zelst and T. C. W. Schenk, “Implementation of a MIMO OFDM-Based Wireless LAN System,” IEEE Transaction on Signal Processing, Vol. 52, pp 483-494, February 2004.
22 D. S. Shiu, G. J. Foschini, M. J. Gans, and J. M. Kahn, “Fading correlation and its effect on the capacity of multi element antenna systems”, IEEE Transactions on Communications, vol. 48, pp. 502–513, 2000.
23 C. B. Papadias and G. J. Foschini, “A space–time coding approach for systems employing four transmit antennas,” In Proceeding of IEEE International Conference on Acoustics, Speech and Signal Processing, vol. 4, (Salt Lake City, UT)2001, pp. 2481–2484.
24 H. Jafarkhani, “A quasi-orthogonal space–time block code,” IEEE Transaction on Communication, vol. 49, pp. 1–4, January 2001.
25 W. Su and X. G. Xia, “Signal constellations for quasi-orthogonal space–time block codes with full diversity”, IEEE Transaction on Information Theory, vol. 50, pp. 2331–2347, October 2004.
26 N. Sharma and C. B. Papadias, “Improved quasi-orthogonal codes through constellation rotation” IEEE Transaction on Communication, vol. 51, pp. 332–335, March 2003.
27 C. K. Sung, J. Kim, and I. Lee, “Quasi-orthogonal STBC with iterative decoding in bit interleaved coded modulation,” In Proceeding of IEEE conference on Vehicular Technology, vol. 2, September 2004, pp. 1323–1327.
28 J. Kim and I. Lee, “Space–time coded OFDM systems with four transmit antennas,” In Proceeding of IEEE conference on Vehicular Technology, vol. 2, September 2004, pp. 2434–2438.
29 C. Yuen, Y. Wu, and S. Sun, “Comparative study of open-loop transmit diversity schemes for four transmit antennas in coded OFDM systems,” In Proceeding of IEEE conference on Vehicular Technology, (Baltimore, MD) September 2004, pp. 482–485.
30 C. Yuen, Y. L. Guan, and T. T. Tjhung, “Quasi-orthogonal STBC with minimum decoding complexity” IEEE Transaction on Wireless Communication, vol. 4, pp. 2089–2094, September 2005.
31 M. T. Le, V. Su Pham, L. Mai, and G. Yoon, “Low-complexity maximum likelihood decoder for fourtransmit- antenna quasi-orthogonal space–time block code,” IEEE Transaction on Communication, vol. 53, pp. 1817–1821, November 2005.
32 L. He and H. Ge, “Fast maximum likelihood decoding of quasi-orthogonal codes” In Proceeding of Asilomar Conference Signals, Systems, Computer, vol. 1, Nov. 2003, pp. 1022–1026.
33 V. Tarokh, H. Jafarkhani, and A. R. Calderbank, “Space-time block codes from orthogonal designs” IEEE Transactions on Information Theory, vol. 45, pp. 1456–1467, July 1999.
34 X. Zhang, Y. Su and G. Tao, “Signal Detection Technology Research of MIMO-OFDM System” In Proceeding of International Congress on Image and Signal Processing, Vol.7, Issue 11, (Yantai) 2010, pp 3031-3034.
Mr. Ankush Kansal
THAPAR UNIVERSITY - India
Mr. Lavish Kansal
THAPAR UNIVERSITY, PATIALA - India
lavish.s690@gmail.com
Dr. Kulbir Singh
THAPAR UNIVERSITY - India