ANALYTICAL INSIGHT: MOMENT GENERATING FUNCTION ANALYSIS FOR MAXIMAL RATIO COMBINING (MRC) DIVERSITY

Authors

  • Jun Hie Chin Department of Electrical Engineering, Tamkang University, Tamsui, Taiwan, China

Keywords:

Maximal Ratio Combining (MRC), Moment Generating Function (MGF), Gaussian Gain Fading Channels

Abstract

This paper presents a comprehensive analytical framework for evaluating the performance of maximal ratio combining (MRC) diversity systems over Gaussian gain fading channels. The framework is based on a unified moment generating function (MGF) approach, providing a versatile tool for analyzing the diversity gain and outage probability of MRC systems under various fading conditions. By deriving closed-form expressions for the MGF, the framework enables efficient and accurate performance evaluation, facilitating the design and optimization of MRC diversity schemes in practical communication systems.

Downloads

Download data is not yet available.

References

Alouini, M-S. and Goldsmith, A., “A Unified Approach for Calculating Error Rates of Linearly Modulated Signals Over Generalized Fading Channels,” IEEE Trans. Commun. Vol. 47, pp. 13241334 (1999).

Aalo, V. A., “Performance of Maximal-Ratio Diversity Systems in a Correlated Nakagami-Fading Environment,” IEEE Trans. Commun., Vol. 43, pp. 2360 2369 (1995).

Mallik, R. K., Win, M. Z. and Winters, J. H., “Performance of Dual-Diversity Predetection EGC in Correlated Rayleigh Fading with Unequal Branch SNRs,” IEEE Trans. Commun., Vol. 50, pp. 1041 1044 (2002).

Loskot, P. and Beaulieu, N. C., “Maximum Ratio Combining with Arbitrary Correlated Generalized Ricean Branches,” Proc. IEEE 2004 Wireless Commun. and Networking Conf. (WCNC 2004), Vol. 1, March, pp. 333338 (2004).

Dong, X. and Beaulieu, N. C., “Optimal Maximal Ratio Combining with Correlated Diversity Branches,” IEEE Commun. Lett, Vol. 6, pp. 2224 (2002).

Win, M. Z., Chriskos, G. and Winters, J. H., “MRC Performance for M-ary Modulation in Arbitrarily Correlated Nakagami Fading Channels,” IEEE Commun. Lett., Vol. 4, pp. 301303 (2000).

Johnson, N. L. and Kotz, S., Distribution in Statistics: Continuous Multivariate Distributions, 1st ed., John Wiley & Sons, New York, U.S.A. (1972).

Annamalai, A. and Tellambura, C., “Error Rates for Nakagami-m Fading Multichannel Reception of Binary and M-ary Signals,” IEEE Trans. Commun., Vol. 49, pp. 5868 (2001).

Win, M. Z., Chriskos, G. and Winters, J. H., “MRC Performance for M-ary Modulation in Arbitrarily Correlated Nakagami Fading Channels,” IEEE Commun. Lett., Vol. 4, pp. 301303 (2000).

Lombardo, P., Fedele, G. and Rao, M. M., “MRC Performance for Binary Signals in Nakagami Fading with General Branch Correlation,” IEEE Trans. Commun., Vol. 47, pp. 4452 (1999).

Larsson, E. G. and Stoica, P., Space-Time Block Coding for Wireless Communications, Cambridge Univ. Press, New York (2003).

Downloads

Published

2012-10-04

How to Cite

Jun Hie Chin. (2012). ANALYTICAL INSIGHT: MOMENT GENERATING FUNCTION ANALYSIS FOR MAXIMAL RATIO COMBINING (MRC) DIVERSITY. Journal of Applied Science and Social Science, 2(03), 01–05. Retrieved from https://www.internationaljournal.co.in/index.php/jasass/article/view/90

Issue

Vol. 2 No. 03 (2012): Volume 02 Issue 03

Section

Articles

License

Copyright (c) 2012 Jun Hie Chin

Creative Commons License

This work is licensed under a Creative Commons Attribution 4.0 International License.

All content published in the Journal of Applied Science and Social Science (JASSS) is protected by copyright. Authors retain the copyright to their work, and grant JASSS the right to publish the work under a Creative Commons Attribution License (CC BY). This license allows others to distribute, remix, adapt, and build upon the work, even commercially, as long as they credit the author(s) for the original creation.