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The α − λ − μ and α − η − μ Small-Scale General Fading Distributions: A Unified Approach

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Abstract

In this paper, a general small-scale fading model for wireless communications, that explores the nonlinearity and at the same time the inhomogeneous nature of the propagation medium, is presented, studied in terms of its first-order statistics of the envelope, and validated by means of field measurements and the Monte Carlo simulation. It is indeed a novel distribution with many advantages such as its generality, its physical interpretation that is directly associated with the propagation channel, and its mathematical tractability due to its simple and closed-form expression. By fitting to measurement data, it has been shown that the proposed distribution outperforms the widely known fading distributions. Namely, the α − λ − μ model, which can be in fact called α − η − μ format 2 model, can also be obtained from the α − η − μ format 1 model by a rotation of the axes. Both formats are combined, in order to result to a unified model in a closed form that may describe the propagation environment in a variety of different fading conditions. Its physical background is hidden behind the names of its parameters. The unified model includes the already known general distributions α − μ′, η − μ, λ − μ (η − μ format 2), and their inclusive ones as special cases.

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References

  1. Hoyt R. S. (1947) Probability functions for the modulus and angle of the normal complex variate. Bell System Technical Journal 26: 318–359

    MathSciNet  Google Scholar 

  2. Nakagami M. (1960) The m-distribution–a general formula of intensity distribution of rapid fading. In: Hoffman W. C. (eds) Statistical methods in radio wave propagation. Pergamon, Elmsford, NY

    Google Scholar 

  3. Weibull W. (1951) A statistical distribution function of wide applicability. Journal of Applied Mechanics 27: 292–297

    Google Scholar 

  4. Abdi A., Lau W. C., Alouini M.-S., Kaveh M. (2003) A new simple model for land mobile satellite channels: First and second order statistics. IEEE Transactions on Wireless Communications 2(3): 519–528

    Article  Google Scholar 

  5. Fraidenraich, G., & Yacoub, M. D. (2003). The λ − μ general fading distribution. In IEEE microwave and optoelectronics Conference, IMOC 2003. Proceedings of the SBMO/IEEE MTT-S international (Vol. 1, pp. 49–54).

  6. Braun W. R., Dersch U. (1991) A physical mobile radio channel model. IEEE Transactions on Vehicular Technology 40(2): 27–34

    Article  Google Scholar 

  7. Yacoub M. D. (2007) The α −μ distribution: A physical fading model for the stacy distribution. IEEE Transactions on Vehicular Technology 56(1): 27–34

    Article  Google Scholar 

  8. Stacy E. W. (1962) A generalization of the gamma distribution. The Annals of Mathematical Statistics 33(3): 1187–1192

    Article  MATH  MathSciNet  Google Scholar 

  9. Sagias N. C., Mathiopoulos P. T. (2005) Switched diversity receivers over generalized gamma fading channels. IEEE Communications Letters 9(10): 871–873

    Article  Google Scholar 

  10. Yacoub M. D. (2007) The η − μ and the η − κ distribution. IEEE Antennas Propagation Magazine 49(1): 68–81

    Article  Google Scholar 

  11. Yacoub, M. D., & Fraidenraich, G. (2006). The α − η − μ and α − κ − μ fading distributions. In IEEE ninth international symposium on spread spectrum techniques and applications (pp. 16–20).

  12. Abramowitz M., Stegun I. A. (Eds) (1972) Handbook of mathematical functions with formulas, graphs, and mathematical tables. NewYork, Dover.

    MATH  Google Scholar 

  13. Asplund, H., Molisch, A. F., Steinbauer, M., & Mehta, N. B. (2002). Clustering of scatterers in mobile radio channels—evaluation and modeling in the COST259 directional channel model. In IEEE international conference on communications, ICC 2002, New York.

  14. Butterworth, J. S., & Matt, E. E. (1983). The characterization of propagation effects for land mobile satellite services. In International conference on satellite systems for mobile communication and navigations (pp. 51–54).

  15. Abouraddy A. F., Elnoubi S. M. (2000) Statistical modeling of the indoor radio channel at 10 GHz through propagation measurements—part I: Narrow-band measurements and modeling. IEEE Transactions on Vehicular Technology 49(5): 1491–1507

    Article  Google Scholar 

  16. Smith, H., Barton, S. K., Gardiner, J. G., & Sforza, M. (1992). Characterization of the land mobile-satellite (LMS) channel at L and S bands: Narrowband measurements. Bradford, ESA AOPs 104 433/114 473.

  17. Jakes W. C. (1974) Microwave mobile communications. Wiley, New York

    Google Scholar 

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Correspondence to Anastasios K. Papazafeiropoulos.

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Papazafeiropoulos, A.K., Kotsopoulos, S.A. The α − λ − μ and α − η − μ Small-Scale General Fading Distributions: A Unified Approach. Wireless Pers Commun 57, 735–751 (2011). https://doi.org/10.1007/s11277-009-9874-1

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