Login



Other Articles by Author(s)

Rajkishur Mudoi
Rupaban Subadar



Author(s) and WSEAS

Rajkishur Mudoi
Rupaban Subadar


WSEAS Transactions on Communications


Print ISSN: 1109-2742
E-ISSN: 2224-2864

Volume 16, 2017

Notice: As of 2014 and for the forthcoming years, the publication frequency/periodicity of WSEAS Journals is adapted to the 'continuously updated' model. What this means is that instead of being separated into issues, new papers will be added on a continuous basis, allowing a more regular flow and shorter publication times. The papers will appear in reverse order, therefore the most recent one will be on top.



Performance Analysis of TAS/MRC Systems over η-μ Fading Channels with Equal Correlation

AUTHORS: Rajkishur Mudoi, Rupaban Subadar

Download as PDF

ABSTRACT: This paper analyses the outage probability and average bit error rate (ABER) of a multiuser Transmit Antenna Selection/Maximal-ratio combining (TAS/MRC) system over equally correlated η-μ fading channels. In TAS/MRC system the best antenna, based on channel state information (CSI) is used for information transmission and MRC is performed in the receiver. The expressions of PDF for SNR of the system, outage probability and ABER have been derived considering equally correlated model of η-μ fading channels. Study of correlation effect and the number of diversity branches on the performance of the communication model have been carried out for different fading parameters and reported in the numerical result and discussion section. This can be a guideline to the design engineers to optimize their performance of communication model. The results are also validated with the computer simulation and found to be correct.

KEYWORDS: ABER, Equal correlation, η-μ fading, Outage probability, Multiple-Input-Multiple Output (MIMO), TAS/MRC.

REFERENCES:

[1] I. E. Telatar, Capacity of multi-antenna Gaussian channels, Eur. Trans. Telecommun., Vol. 10, 1999, pp. 585-595.

[2] G. J. Foschini and M. J. Gans, On limits of wireless communications in a fading environment when using multiple antennas, Wireless Pers. Commun., Vol. 6, 1998, pp. 311-335.

[3] M. K. Simon and M. S. Alouini, Digital Communications over Fading Channels, 2nd ed., Wiley-Interscience. John Wiley & Sons, Inc., 2005.

[4] A. F. Molisch and M. Z. Win, MIMO systems with antenna selection, IEEE Microw. Mag., Vol. 5, No. 1, 2004, pp. 46-56.

[5] Z. Chen, J. Yuan, and B. Vucetic, Analysis of transmit antenna selection/maximal-ratio combining in Rayleigh fading channels, IEEE Trans. Veh. Technol., Vol. 54, No. 4, 2005, pp. 1312-1321.

[6] Z. Chen, B. Vucetic, J. Yuan, and K. Leong Lo, Analysis of transmit antenna selection / maximal-ratio combining in Rayleigh fading channels, in Proc. 2003 IEEE International Conference Communication, 2003, pp. 1532- 1536.

[7] M. Yacoub, The η-μ distribution: A general fading distribution, in Proc. 52nd IEEE VTCFall, 2000, pp. 872-877.

[8] M. Yacoub, The κ-μ distribution and the η-μ distribution, IEEE Antennas Propag. Mag., Vol. 49, No. 1, 2007, pp. 68-81.

[9] D. B. da Costa and M. D. Yacoub, Accurate closed-form approximations to the sum of generalized random variables and applications in the performance analysis of diversity systems, IEEE Trans. Commun., Vol. 57, No. 5, 2009, pp. 1271-1274.

[10] M. Milisic, M. Hamza, and M. Hadzialic, Outage and symbol errorprobability performance of L-branch maximal-ratio combiner for generalized fading, in Proc. 50th International Symposium ELMAR, 2008, pp. 10-12.

[11] M. Milisic, M. Hamza, N. Behlilovic, and M. Hadzialic, Symbol error probability performance of L-branch maximal-ratio combiner for generalized fading, IEEE VTC Conf. 2009, pp. 1-5.

[12] D. B. da Costa, J. C. S. S. Filho, M. D. Yacoub, and G. Fraidenraich, Second-order statistics of fading channels: theory and applications, IEEE Trans. Wireless Commun., Vol. 7, No. 3, 2008, pp. 819-824.

[13] Juan P. Pena-Martin, Juan M. Romero-Jerez and Concepcion Tellez-Labao, Performance of Selection Combining Diversity in η-μ Fading Channels with Integer Values of μ , IEEE Transactions on Vehicular Technology, Vol. 64, No. 2, 2015.

[14] V. A. Aalo, Performance of maximal-ratio diversity systems in a correlated Nakagamifading environment, IEEE Trans. on Commun., Vol. 43, No. 8, 1995, pp. 2360-2369.

[15] G C Alexandropoulos, N. C. Sagias, F. I. Lazarakis and K. Berberidis, New results for the multivariate Nakagami-m fading model with arbitrary correlation matrix and applications, IEEE transaction on Wireless Communication, Vol. 8, No. 1, 2009, pp. 245- 255.

[16] M Abramowitz and I. A. Stegun, Handbook of Mathematical Functions, National Bureau of Standards, 1970.

[17] J. Gurland, Distribution of the maximum of the arithmetic mean of correlated random variables, Annals of Math. Stat., Vol. 26, 1955, pp. 294-300.

[18] A. Papoulis and S. U. Pillai, Probability, Random Variables and Stochastic Processes, 4th ed., Tata McGraw-Hill, 2002.

[19] I. S. Gradshteyn and I. M. Ryzhik, Table of Integrals, Series, and Products, 6th ed., San Diego, CA: Academic, 2000.

[20] Juan P. Pena-Martin, Juan M. Romero-Jerez and Concepcion Tellez-Labao, Performance of TAS/MRC Wireless Systems Under Hoyt Fading Channels, IEEE Transaction on Wireless Communications, Vol. 12, No. 7, 2013, pp. 3350-3359.

[21] A. Annamalai, C. Tellambura, and Vijay K. Bhargava, Equal-Gain Diversity Receiver Performance in Wireless Channels, IEEE Trans. Commun., Vol. 48, No. 10, 2000, pp. 1732-1745.

WSEAS Transactions on Communications, ISSN / E-ISSN: 1109-2742 / 2224-2864, Volume 16, 2017, Art. #35, pp. 322-328


Copyright © 2017 Author(s) retain the copyright of this article. This article is published under the terms of the Creative Commons Attribution License 4.0

Bulletin Board

Currently:

The editorial board is accepting papers.


WSEAS Main Site