Journal of Applied Science and Engineering

Published by Tamkang University Press

1.30

Impact Factor

1.60

CiteScore

Jyoteesh Malhotra This email address is being protected from spambots. You need JavaScript enabled to view it.1

1Department of Electronics and Communication Engineering, G.N.D.U. Regional Campus, Jalandhar, India


 

Received: August 25, 2010
Accepted: January 18, 2011
Publication Date: December 1, 2011

Download Citation: ||https://doi.org/10.6180/jase.2011.14.4.06  


ABSTRACT


In this paper, performance analysis of Optimum and Sub-optimum diversity combining receivers over generalized fading channels modeled by the three parameter Generic-Gamma model is presented. The Generic-Gamma model is versatile enough to represent short term fading such as Weibull, Nakagami-m or Rayleigh as well as shadowing. The performance measures such as amount of fading, average bit error rate, and signal outage are considered for analysis. With the aid of Moment Generating Function (MGF) approach and Padé approximation (PA) technique outage probability and Average bit error rate have been evaluated for a variety of modulation formats. PA technique has been used to derive simple-to-evaluate compact rational expressions for the MGF of output SNR. Using these novel rational expressions, the performance of multichannel receivers employing diversity combining under a range of representative channel fading conditions have been evaluated. The results have been validated through simulations which shows perfect match.


Keywords: Multipath Fading, Maximal Ratio Combining, Selection Combining, Outage Probability, Average Bit Error Rate, Moment Generating Function


REFERENCES


  1. [1] Simon, M. K. and Alouini, M.-S., Digital Communication Over Fading Channels, 2nd ed. New York: Wiley, (2005).
  2. [2] Coulson, A. J., Williamson, A. G. and Vaughan, R. G., “Improved Fading Distribution for Mobile Radio,” IEE Proc. F-Communication, Vol. 145, pp. 197202 (1998).
  3. [3] Aalo, Valentine A., Piboongungon, T. and CyrilDaniel Iskander, “Bit-Error Rate of Binary Digital Modulation Schemes in Generalized Gamma Fading Channels,” IEEE Comm. Letters, Vol. 9, pp. 139141 (2005).
  4. [4] Yacoub, M. D., “The - Distribution: A General Fading Distribution,” in Proc. IEEE PIMRC, pp. 629633 (2002).
  5. [5] Malhotra, J. et al., “On the Performance Analysis of Wireless Receiver Using Generalized-Gamma Fading Model,” Annals of Telecommunication, Vol. 64, pp. 147153 (2009).
  6. [6] Bithas, P. S., Sagias, N. C. and Mathiopoulos, P. T., “GSC Diversity Receivers over Generalized-Gamma Fading Channels,” IEEE Communication Letters, Vol. 11 (2007).
  7. [7] Karagiannidis, G. K., “Moments-Based Approach to the Performance Analysis of Equal Gain Diversity in Nakagami-m Fading,” IEEE Trans. Commun., Vol. 52, pp. 685690 (2004).
  8. [8] Ismail, M. H. and Matalgarh, M. M., “Performance of Dual Maximal Ratio Combining Diversity in Nonidentical Correlated Weibull Fading Channels Using Padé Approximation,” IEEE Transaction on Communication, Vol. 54 (2006).
  9. [9] Gradshteyn, I. S. and Ryzhik, I. M., Table of Integrals, Series, and Products, 5th ed. New York: Academic Press (1994).
  10. [10] Amindavar, H. and Ritcey, J. A., “Padé Approximation of Probability Density Functions,” IEEE Transactions on Aerospace and Electronic Systems, Vol. 30, pp. 416424 (1994).
  11. [11] Stokes, J. W. and Ritcey, J. A., “A General Method for Evaluating Outage Probabilities Using Padé Approximations,” in Proc. IEEE Global Telecommun. Conf., Vol. 3, Sydney, Australia, pp. 14851490 (1998).
  12. [12] Lu, J., Letaief, K. B., Chuang, J. C.-I. and Liou, M. L., “M-PSK and M-QAM BER Computation Using Signal-Space Concepts,” IEEE Trans. Commun., Vol. 47, pp. 181184 (1999).
  13. [13] Andrea Goldsmith, Wireless Communication, Cambridge University Press (2005).


    



 

1.6
2022CiteScore
 
 
60th percentile
Powered by  Scopus

SCImago Journal & Country Rank

Enter your name and email below to receive latest published articles in Journal of Applied Science and Engineering.