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On the Distribution of the Sum of Gamma-Gamma Variates and Applications in RF and Optical Wireless Communications

机译:伽玛-伽玛变量的和的分布及其在RF和光无线通信中的应用

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The Gamma-Gamma (Γ Γ ) distribution has recently attracted the interest of the research community due to its involvement in various communication systems. In the context of RF wireless communications, Γ Γ distribution accurately models the power statistics in composite shadowing/fading channels as well as in cascade multipath fading channels, while in optical wireless (OW) systems, it describes the fluctuations of the irradiance of optical signals distorted by atmospheric turbulence. Although Γ Γ channel model offers analytical tractability in the analysis of single input single output (SISO) wireless systems, difficulties arise when studying multiple input multiple output (MIMO) systems, where the distribution of the sum of independent Γ Γ variates is required. In this paper, we present a novel and simple closed-form approximation for the distribution of the sum of independent, but not necessarily identically distributed Γ Γ variates. It is shown that the probability density function (PDF) of the Γ Γ sum can be efficiently approximated either by the PDF of a single Γ Γ distribution, or by a finite weighted sum of PDFs of Γ Γ distributions. To reveal the importance of the proposed approximation, the performance of RF wireless systems in the presence of composite fading, as well as MIMO OW systems impaired by atmospheric turbulence, are investigated. Numerical results and simulations illustrate the accuracy of the proposed approach.
机译:由于Gamma-Gamma(ΓΓ)涉及各种通信系统,因此最近引起了研究界的关注。在RF无线通信的情况下,ΓΓ分布可以准确地模拟复合阴影/衰落信道以及级联多径衰落信道中的功率统计数据,而在光无线(OW)系统中,它描述了光信号辐照度的波动被大气湍流扭曲。尽管Γ信道模型在分析单输入单输出(SISO)无线系统时提供了分析上的可操作性,但是在研究需要独立Γ变量总和分布的多输入多输出(MIMO)系统时会遇到困难。在本文中,我们为独立但不一定相同分布的Γ变量的和的分布提供了一种新颖且简单的闭式近似。结果表明,可以通过单个ΓΓ分布的PDF或ΓΓ分布的PDF的有限加权总和有效地近似ΓΓ和的概率密度函数(PDF)。为了揭示提出的近似方法的重要性,研究了在存在复合衰落的情况下RF无线系统以及受大气湍流损害的MIMO OW系统的性能。数值结果和仿真结果表明了该方法的准确性。

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