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2007 | Vol. 53, No 1 | 47-62
Tytuł artykułu

Characterization of Weibull fading channels

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EN
Abstrakty
EN
This paper presents important statistical properties of the two-parameter Weibull distribution, as a suitable model to describe wireless transmission in fading channels. Exact closed form expressions are presented for the univariate probability density functions (PDF), cumulative density functions (CDF), the moments of envelope, amount of fading (AF) and the moment generating function (MGF) associated with the output signal-to-noise ratio (SNR). We also presented the multivariate Weibull distribution.
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Rocznik
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47-62
Opis fizyczny
Bibliogr. 55 poz., wykr.
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autor
Bibliografia
  • 1. S.B. Rassol: Analysis of random access methods over fading channel for finite buffer systems, Master Thesis f Science, Department of Electrical Engineering, King Fahd University, Saudi Arabia, January 2005.
  • 2. A. Jakubiak: Radiolokacyjne zakłócenia bierne - ich powstawanie i właściwości, Przegląd Telekomunikacyjny i Wiadomości Telekomunikacyjne, Nr 4, 2001, ss. 258-264, in Polish.
  • 3. A. Jakubiak, W. Czarnecki: Zastosowanie symulacji komputerowej w analizie i klasyfikacji radiolokacyjnych zakłóceń biernych typu clutter, Przegląd Telekomunikacyjny i Wiadomości Telekomunikacyjne, Nr 3, 2000, in Polish.
  • 4. A. Jakubiak: Metody klasyfikacji radiolokacyjnych zakłóceń biernych, Prace Naukowe Elektronika, No 126, Oficyna Wydawnicza Politechniki Warszawskiej, Warszawa 2000.
  • 5. A. Jakubiak: Wykrywanie sygnału użytecznego na tle zakłóceń Suzuki, XI Krajowe Sympozjum Nauk Radiowych, Poznań, 2005, in Polish.
  • 6. A. Jakubiak, M. Muczko, A. Zie1iński: Wybrane metody modelowania komputerowego zakłóceń biernych, Przegląd Telekomunikacyjny i Wiadomości Telekomunikacyjne, Nr 4, 2000, in Polish.
  • 7. A. Jakubiak: Metody i algorytmy symulacji radiolokacyjnych zakłóceń biernych, Kwartalnik Elektroniki i Telekomunikacji, 2000, Vol. 46, Nr 2, ss. 237-253, in Polish.
  • 8. M.K. Simon, M.S. Allouini: Digital communication over fading channels, a unified approach to performance analysis, John Wiley & Sons, New York, 2005, 2nd edition.
  • 9. A. Wojnar: Teoria sygnałów, WNT, Warszawa 1988, in Polish.
  • 10. M. Nakagami: The - distribution - A general formula of intensity distribution of rapid fading, in Statistical Methods in Radio Wave Propagation, Oxford, U.K., Pergamon, 1960, pp. 3-36.
  • 11. K. Noga: Zaawansowane modele probabilistyczne sygnałów w kanałach z zanikami, Kwartalnik Elektroniki i Telekomunikacji, 2000, Vol. 46, Nr 1, ss. 47-62, in Polish.
  • 12. W. Weibull: A statistical distribution function of wide applicability, Journal of Applied Mechanics, No 27, 1951.
  • 13. R. Ramakumar: Reliability Engineering - Fundamentals and Applications, Englewood Cliffs, NJ: Prentice-Hall, 1993.
  • 14. R.B. Abernethy: The New Weibull Handbook, 4th ed. New York, Barringer & Assoc., 2000.
  • 15. M. Sekine, Y.H. Mao: Weibull Radar Clutter. London, U.K., IEE, 1990.
  • 16. H. Hashemi: The indoor radio propagation channel, Proceedings of the IEEE, Vol. 81, No 7, July 1993, pp. 943-968.
  • 17. B. Babich, G. Lombardi: Statistical analysis and characterization of the indoor propagation channel, IEEE Transactions on Communications, Vol. 48, No 3, March 2000, pp. 455-464.
  • 18. R. Kattenbach, T. Englert: Investigation of short term statistical distributions for path amplitudes and phases in indoor environment, Proc. IEEE Vehicular Technology Conference, Ottawa, ON, Canada, May 1998, pp. 2114-2118.
  • 19. R. Ganesh, K. Pahlavan: On the modeling of fading multipath indoor radio channels, in Proc. IEEE Global Telecommunications Conference, Vol. 3, Dallas, TX, November 1989, pp. 1346-1350.
  • 20. N.S. Adawi et al.: Coverage prediction for mobile radio systems operating in the 800/900 MHz frequency range, IEEE Transactions on Vehicular Technology, Vol. 37, No 1, February 1988, pp. 3-72.
  • 21. N.H. Shepherd: Radio wave loss deviation and shadow loss at 900 MHz, IEEE Transactions on Vehicular Technology, Vol. VT-26, 1977, pp. 309-313.
  • 22. M.A. Taneda, J. Takada, K. Araki: A new approach to fading: Weibull model, Proceedings IEEE International Symposium Personal, Indoor, Mobile Radio Communications, Osaka, Japan, September 1999, pp. 711-715.
  • 23. A. Healy, C.H. Bianchi, K. Sivaprasad: Wideband outdoor channel sounding at 2.4 GHz, Proceedings IEEE Antennas Propagation for Wirelles Communications, Waltham, MA, November 2000, pp. 95-98.
  • 24. M.D. Yacoub: The A[alpha]-µ distribution: A general fading distribution, Proceedings IEEE International Symposium Personal, Indoor, Mobile Radio Communications, Lisbon, Portugal, September 2002, pp. 629-633.
  • 25. M.-S. Aloluini, M.K. Simon: Performance of generalized selection combining over Weibull fading channels, Proceedings IEEE Vehicular Technology Conference, Vol. 3, Atlantic City, NJ, October 2001, pp. 1735-1739.
  • 26. N.C. Sagias, D.A. Zogas, G.K. Karagiannidis, G.S. Tombras: Performance analysis of switched diversity receivers in Weibull fading, Electronics Letters, Vol. 39, No 20, October 2003, pp. 1472-1474.
  • 27. N.C. Sagias, G.K. Karagiannidis, G.S. Tombras: Error rate analysis of switched diversity receivers in Weibull fading, Electronics Letters, Vol. 40, No 11, May 2004, pp. 681-682.
  • 28. N.C. Sagias, G.K. Karagiannidis, D.A. Zogas, P.T. Mathiopouios, G.S. Tombras: Performance analysis of dual selection diversity in correlated Weibull fading channels, IEEE Transactions on Communications, Vol. 52, No 7, July 2004, pp. 1063-1067.
  • 29. N.C. Sagias, P.T. Mathiopoulos, G.S. Tombras: Selection diversity receivers in Weibull fading. Outage probability and average signal-to-noise ratio, Electronics Letters, Vol. 39, No 25, December 2003, pp. 1859-1860.
  • 30. J. Cheng, C. Tellambura, N.C. Beaulieu: Performance of digital linear modulations on Weibull slow-fading channels, IEEE Transactions on Communications, Vol. 52, No 8, August 2004, pp. 1265-1268.
  • 31. M.D. Yacoub, D.B. Costa, U.S. Dias, G. Fraidenraich: Join statistics for two correlated Weibull variates, IEEE Antennas and Wireless Propagation Letters, Vol. 4, 2005, pp. 129-132.
  • 32. J. Cheng, C. Tellambura, N.C. Beaulieu: Performance analysis of digital modulations on Weibull fading channels, Proceedings IEEE Vehicular Technology Conference (VTC Fall'03), Orlando, October 2003, pp. 236-240.
  • 33. S. Gradstein, M. Ryzhik: Tables of Integrals, Sums, Series and Products, London, UK., Academic, 1964.
  • 34. http://en.wikipedia.org/wikiAVeibulLdistribution
  • 35. http://www.weibull.com
  • 36. G. Li, K.B. Yu: A method for simulation of coherent Weibull clutter, Proceedings of the Twentieth Southeastern Symposium on System Theory, 1988, pp. 691-695.
  • 37. G. Li, K.B. Yu: Modelling and simulation of coherent Weibull clutter, IEE, Radar and Signal Proceedings, February 1989, pp. 2-12.
  • 38. A. Farina, A. Russo, F. Scannapieco: Radar detection in coherent Weibull, IEEE Transactions on Acoustics, Speech and Signal Processing, Vol. ASSP-35, No 6, June 1987, pp. 893-895.
  • 39. W.J. Szajnowski: The generation of correlated Weibull clutter for signal detection problem, IEEE Transactions on Aerospace & Electronics Systems, Vol. AES-13, No 5, 1977, pp. 536-540.
  • 40. V.A. Aalo: Performance of maximal-ratio diversity systems in a correlated Nakagami-fading environment, IEEE Transactions on Communications, Vol. 43, No 8, August 1995, pp. 2360-2369.
  • 41. C.C. Tan, N.C. Beaulieu: Infinite series representations of the bivariate Rayleigh and Nakagami-m distributions, IEEE Transactions on Communications, Vol. 45, No 10, pp. 1159-1161, October 1997.
  • 42. M.K. Simon, M.-S. Alouini: A simple integral representation of the bivariate Rayleigh distribution, IEEE Communications Letters, Vol. 2, No 5, pp. 128-130, May 1998.
  • 43. G.K. Karagiannidis, D.A. Zogas, S.A. Kotsopoulos: On the multivariate Nakagami-m distribution with exponential correlation, IEEE Transactions on Communications Vol. 51, No 8, pp. 1240-1244, August 2003.
  • 44. G.K. Karagiannidis, D.A. Zogas, S.A. Kotsopoulos: An efficient approach to multivariate Nakagami- distribution using Green's matrix approximation, IEEE Transactions Wireless Communications, Vol. 2, No 5, pp. 883-889, September 2003.
  • 45. R.K. Mallik: On multivariate Rayleigh and exponentials distributions, IEEE Transactions on Information Theory, Vol. 49, No. 6, pp. 1499-1515, June 2003.
  • 46. I. Olkin, Y.L. Tong: Positive dependence of a class of multivariate exponential distributions, SIAM Journal on Control and Optimization, Vol. 32, pp. 965-974, 1994.
  • 47. L. Lee: Multivariate distributions having Weibull properties, Journal of Multivariate Analysis, Vol. 9, pp. 267-277, 1979.
  • 48. P. Hougaard: A class of multivariate failure time distributions, Biometrika, Vol. 73, pp. 671-678, 1986.
  • 49. M. Crowder: A multivariate distribution with Weibull connections, Journal of Royal Statistics Society, Vol. 51, pp. 93-107, 1989.
  • 50. P. Hougaard: Analysis of Multivariate Survival Data, Berlin, Germany: Springer-Verlag, 2000.
  • 51. S. Kotz, N. Balakrishnan, N.L. Johnson: Continuous Multivariate Distributions, Vol. 1, Models and Applications, New York: Wiley, 2000.
  • 52. N.C. Sagias, 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, October 2005.
  • 53. A. Papoulis: Probability, Random Variables and Stochastic Processes, 3-rd edition, New York, McGraw-Hill, 2001.
  • 54. R.K. Mallik, M.Z. Win: Analysis of hybrid selection/maximal-ratio combining in correlated Nakagami fading, IEEE Transactions on Communications, Vol. 50, No 8, pp. 1372-1383, August 2002.
  • 55. http://mathworld.wolfram.com/MeijerG-Function.html1
Typ dokumentu
Bibliografia
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Identyfikator YADDA
bwmeta1.element.baztech-article-BWA0-0020-0004
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