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The Scientific World Journal
Volume 2014, Article ID 538578, 10 pages
http://dx.doi.org/10.1155/2014/538578
Research Article

Analysis and Modeling of Realistic Compound Channels in Transparent Relay Transmissions

National Institute of Technology Calicut, Calicut 673601, India

Received 27 August 2013; Accepted 29 December 2013; Published 18 February 2014

Academic Editors: K. Endo and Y.-C. Wang

Copyright © 2014 Cibile K. Kanjirathumkal et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Linked References

  1. K. K. Cibile, S. M. Sameer, and L. Jacob, “On the computation of exact moments and performance metrics for multi hop transparent Weibull relay channels,” in Proceedings of the National Conference on Communications (NCC'13), pp. 1–5, New Delhi, India, 2013. View at Publisher · View at Google Scholar
  2. S. M. Khairnar, R. M. Pise, and J. N. Salunkhe, “Study of the mellin integral transform with applications in statistics and probability,” Archives of Applied Science Research, vol. 4, no. 3, pp. 1294–1310, 2012. View at Google Scholar
  3. G. Tzeremes and C. G. Christodoulou, “Use of Weibull distribution for describing outdoor multipath fading,” in Proceedings of the IEEE Antennas and Propagation Society International Symposium, pp. 232–235, June 2002. View at Publisher · View at Google Scholar · View at Scopus
  4. B. D. Carter and M. D. Springer, “The distribution of products, quotients and powers of independent H-function variates,” SIAM Journal on Applied Mathematics, vol. 33, no. 4, pp. 542–558, 1977. View at Google Scholar
  5. F. Yilmaz and M.-S. Alouini, “Product of the powers of generalized Nakagami-m variates and performance of cascaded fading channels,” in Proceedings of the IEEE Global Telecommunications Conference (GLOBECOM'09), Honolulu, Hawaii, USA, December 2009. View at Publisher · View at Google Scholar · View at Scopus
  6. J. Salo, H. M. El-Sallabi, and P. Vainikainen, “The distribution of the product of independent Rayleigh random variables,” IEEE Transactions on Antennas and Propagation, vol. 54, no. 2, pp. 639–643, 2006. View at Google Scholar
  7. Y. Chen, G. K. Karagiannidis, H. Lu, and N. Cao, “Novel approximations to the statistics of products of independent random variables and their applications in wireless communications,” IEEE Transactions on Vehicular Technology, vol. 61, no. 2, pp. 443–454, 2012. View at Publisher · View at Google Scholar · View at Scopus
  8. H. Y. Lateef, M. Ghogho, and D. C. McLernon, “Performance analysis of multi-hop cooperative relay networks over generalized-K fading channels,” in Proceedings of the 12th Annual Australian Communications Theory Workshop (AusCTW'11), pp. 71–76, Melbourne, Australia, February 2011. View at Publisher · View at Google Scholar · View at Scopus
  9. N. C. Sagias and G. S. Tombras, “On the cascaded Weibull fading channel model,” Journal of the Franklin Institute, vol. 344, no. 1, pp. 1–11, 2007. View at Publisher · View at Google Scholar · View at Scopus
  10. J. Malhotra, “Performance of multi-hop communication with fixed-gain relays over Weibull fading channels,” International Journal of Advances in Science and Technology, vol. 2, no. 4, 2011. View at Google Scholar
  11. A. M. Law, Simulation Modelling and Analysis, The McGraw-Hill, New York, NY, USA, 2008.
  12. J. M. Nicolas and S. N. Anfinsen, “Introduction to second kind statistics: application of Log-moments and Log-cumulants to SAR image law analysis,” Journal of Traitement Du Signal, vol. 3, no. 19, pp. 139–168, 2002. View at Google Scholar
  13. A. D. Poularikas, The Handbook of Formulas and Tables for Signal Processing, CRC Press, Boca Raton, Fla, USA, 1999.
  14. M. K. Simon and M. S. Alouini, Digital Communication over Fading Channels, Wiley Inter-science, New York, NY, USA, 2005.
  15. N. C. Sagias and G. K. Karagiannidis, “Gaussian class multivariate Weibull distributions: theory and applications in fading channels,” IEEE Transactions on Information Theory, vol. 51, no. 10, pp. 3608–3619, 2005. View at Publisher · View at Google Scholar · View at Scopus
  16. G. K. Karagiannidis, N. C. Sagias, and P. T. Mathiopoulos, “N. Nakagami: a novel stochastic model for cascaded fading channels,” IEEE Transactions on Communications, vol. 55, no. 8, pp. 1453–1458, 2007. View at Publisher · View at Google Scholar · View at Scopus
  17. M. Lupupa and M. E. Dlodlo, “Performance analysis of transmit antenna selection in Weibull fading channel,” in Proceedings of the AFRICON Conference (AFRICON'09), Nairobi, Kenya, September 2009. View at Publisher · View at Google Scholar · View at Scopus
  18. M.-J. David, F. P. Jose, and K.-K. Wong, “Closed-form analysis of multibranch switched diversity with non coherent and differentially coherent detection,” International Journal of Communication Systems, vol. 26, pp. 127–137, 2013. View at Google Scholar
  19. S. M. Kay, Fundamentals of Statistical Signal Prcessing, vol. 1, Printice Hall, New York, NY, USA, 2007.
  20. N. Wang and J. Cheng, “Estimating the Nakagami-m fading parameter by the generalized method of moments,” in Proceedings of the IEEE International Conference on Communications (ICC'11), Kyoto, Japan, June 2011. View at Publisher · View at Google Scholar · View at Scopus
  21. L. Devroye, Non-Uniform Random Variate Generation, McGraw, New York, NY, USA, 1986.