One of the options to mitigate fading effects in mobile communication is adaptive transmitter gain. This paper proposes a simple technique to eliminate the effects of fading in different multi antenna set-ups by varying the transmitter gain. The multi antenna set-ups considered in this paper include Single input-single output (SISO), Single input-multi output (SIMO), Multi input-single output (MISO), Multi input-multi output (MIMO) systems. For all these set-ups, the data streams after doing BPSK modulation is transmitted together with the transmitter gain through a frequency-selective Rayleigh fading channel. The Channel State Information (CSI) is unknown to the receiver and so, before doing equalization the channel characteristics are determined using the Least Mean Square (LMS) algorithm. The average Bit Error Rate (BER) for different values of the transmitter gain is calculated and the performances of the different set-ups are compared. Also, the BER for different Signal-to-Noise Ratio (SNR) are obtained for the different systems. Both the above BER analysis schemes are then repeated by applying three different error correction codes. The error correction coding schemes used in this paper includes Linear block coding, Cyclic coding and Hamming coding. Out of the three coding techniques, the one that gives the best possible result is taken into consideration and the difference in BER for the coded and uncoded multi antenna systems are analyzed. Performance is also analyzed in terms of the coding gain. All the above cases are repeated for Rician channel as well. Finally, we will see that our results are identical to that of some previously reported works.

1. Rappaport, T. S. , "Wireless Communications: Principles and Practice", Second Edition, 2002.
2. Saunders, S. R. , Aragon-Zavala, A. , "Antenna and Propagation for Wireless Communication System", Second Edition, 2010.
3. Togneri, R. , Lecture notes from ITC314, The University of Western Australia. http://www. ee. uwa. edu. au/~roberto/units/itc314/handouts/lectures. pdf.
4. Clark, G. C. , Gain, J. B. , "Error-Correction Coding for Digital Communications", Plenum Press, New York, 1981.
5. Hayes, M. H. , "Statistical Digital Signal Processing and Modelling", 2009.
6. Proakis, J. , "Digital Communications", Fourth Edition, 2001.
7. Barry, J. R. , Lee, E. A. , Messerschmitt, D. G. , "Digital Communications", Third Edition.
8. Alamouti, S. M. , "A Simple Transmit Diversity Technique for Wireless Communication", vol. 16, no. 8, October 1998.
9. Varade, S. , Kulat, K. , "BER Comparison of Rayleigh Fading, Rician Fading and AWGN Channel using Chaotic Communication based MIMO-OFDM system'', IJSCE, ISSN:2231-2307, vol. 1, Issue-6, January 2012
10. Sachdeva, N. , Sharma, D. , "Diversity: A Fading Reduction Technique", International Journal of Advanced Research in Computer Science and Software Engineering, ISSN:2277-128X, vol. 2, Issue-6,June 2012.
11. Durai, S. , "Channel Fading in Mobile Communication", International Journal of Computer & Organization Trends, July to August issue 2012.
12. Miah, M. S. , Rahman, M. M. , Godder, T. K. , Singh, B. C. , Parvin, M. T. , "Performance Comparision of AWGN, Flat Fading and Frequency Selective Fading Channel for Wireless Communication System using 4QPSK", IJCIT, ISSN:2078-5828(Print), ISSN:2218-5224(Online), vol. 1, Issue-2, 2011.
13. Adeyemo, Z. K. , Raji, T. I. , "Bit Error Rate Analysis for Wireless Links using Adaptive Combining Diversity", Journal of Theoretical & Applied Information Technology.
14. Agniel, J. , "Error Correcting Codes for Wireless Communications", prepared for EE6390: Introduction to Wireless Communications, University of Texas at Dallas, December 1999.
15. Lee, Y. , "Adaptive Equalization and Receiver Diversity for Indoor Wireless Data Communications", prepared for Degree of Doctor of Philosophy, Stanford University, August 1997.
16. Sklar, B. , "Rayleigh Fading Channels in Mobile Digital Communication Systems Part I : Characterization", IEEE Communications Magazine, July 1997.

Rayleigh Fading Rician Fading Linear Block Codes Cyclic Codes Hamming Codes Coding Gain Lms (least Mean Square) Transmitter Gain