BER analysis of MIMO-OFDM using V-BLAST system for different modulation schemes

Wireless communication systems at high data rates and low power consumptions are currently in high demand. Power efficiency becomes a critical issue for technology that will be used in 3G and 4G technologies. Orthogonal frequency-division multiplexing (OFDM) is a technique using discrete multi-tone modulation with each subcarrier modulating in a conventional modulation scheme. On the other hand, Multiple- Input Multiple-Output (MIMO) systems have become the attention of wireless academic community and industry because of their promising ability to increase capacity and performance with acceptable Bit Error Rate (BER) proportionally with the increased number of antennas. In this paper, MIMO-OFDM system using Vertical Bell Lab lAyered Space Time (V-BLAST) is developed by considering Minimum Mean Square Error (MMSE) and Zero Forcing (ZF) detector mechanisms for various modulation schemes and antenna configurations. The performance parameter of MIMO-OFDM in terms of BER is determined and analysed for two different detector schemes such as MMSE and ZF with the help of MATLAB package.

[1]  Roland Sauerbrey,et al.  Biography , 1992, Ann. Pure Appl. Log..

[2]  Theodore S. Rappaport,et al.  Wireless communications - principles and practice , 1996 .

[3]  Gerard J. Foschini,et al.  Layered space-time architecture for wireless communication in a fading environment when using multi-element antennas , 1996, Bell Labs Technical Journal.

[4]  Reinaldo A. Valenzuela,et al.  V-BLAST: an architecture for realizing very high data rates over the rich-scattering wireless channel , 1998, 1998 URSI International Symposium on Signals, Systems, and Electronics. Conference Proceedings (Cat. No.98EX167).

[5]  A. Robert Calderbank,et al.  Space-time codes for high data rate wireless communication: performance criteria in the presence of channel estimation errors, mobility, and multiple paths , 1999, IEEE Trans. Commun..

[6]  Geoffrey Ye Li,et al.  MIMO-OFDM for wireless communications: signal detection with enhanced channel estimation , 2002, IEEE Trans. Commun..

[7]  Shozo Komaki,et al.  Co-channel interference cancellation based on MIMO OFDM systems , 2002, IEEE Wirel. Commun..

[8]  A. S. M. Zain,et al.  Design and simulation of Orthogonal Frequency Division Multiplexing transceiver system using Differential Phase Shift Keying (DPSK) for Wireless Local Area Network , 2010, International Conference on Computer and Communication Engineering (ICCCE'10).

[9]  Moon Ho Lee,et al.  PAPR reduction for improving performance of OFDM system , 2010, 2010 INTERNATIONAL CONFERENCE ON COMMUNICATION CONTROL AND COMPUTING TECHNOLOGIES.

[10]  Chung G. Kang,et al.  MIMO-OFDM Wireless Communications with MATLAB , 2010 .