Τίτλος:
The Fischer-Snedecor F-Distribution Model for Turbulence-Induced Fading in Free-Space Optical Systems
Γλώσσες Τεκμηρίου:
Αγγλικά
Περίληψη:
In this article we propose the use of the so-called Fisher-Snedecor F-distribution to model atmospheric turbulence-induced fading in free space optical communication systems. The proposed model is a two-parameter distribution, defined as the ratio of two independent gamma random variables. In this context, the proposed model is based on a doubly stochastic theory of turbulence-induced fading, assuming that small-scale irradiance variations of the propagating wave, modeled by a gamma distribution, are a subject to large-scale irradiance fluctuations, modeled by an inverse gamma distribution. It is shown that the F-distribution yields at least as good, or even a better fit to experimental and computer simulation data as compared to the well known gamma-gamma distribution. Also, important statistical measures such as cumulative distribution function (CDF) and moment generating function (MGF) are mathematically simpler than those of the gamma-gamma distribution. Motivated by these facts, the performance of single-input - multiple output (SIMO) and multiple-input - multiple output (MIMO) systems operating in the presence of F turbulence is assessed. The proposed analysis is substantiated by numerically evaluated results and Monte Carlo simulations. © 2019 IEEE.
Συγγραφείς:
Peppas, K.P.
Alexandropoulos, G.C.
Xenos, E.D.
Maras, A.
Περιοδικό:
Journal of Lightwave Technology
Εκδότης:
Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Λέξεις-κλειδιά:
Atmospheric thermodynamics; Atmospheric turbulence; Feedback control; Intelligent systems; MIMO systems; Monte Carlo methods; Optical communication; Stochastic models; Stochastic systems; Telecommunication repeaters, Cumulative distribution function; F distribution; Free space optical communication systems; Free space optical systems; Inverse gamma distribution; Moment generating function; Performance analysis; Single input multiple outputs, Distribution functions
DOI:
10.1109/JLT.2019.2957327
