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On the Multivariate Gamma-Gamma ($ΓΓ$) Distribution with Arbitrary Correlation and Applications in Wireless Communications

The statistical properties of the multivariate Gamma-Gamma ($ΓΓ$) distribution with arbitrary correlation have remained unknown. In this paper, we provide analytical expressions for the joint probability density function (PDF), cumulative distribution function (CDF) and moment generation function of the multivariate $ΓΓ$ distribution with arbitrary correlation. Furthermore, we present novel approximating expressions for the PDF and CDF of the sum of $ΓΓ$ random variables with arbitrary correlation. Based on this statistical analysis, we investigate the performance of radio frequency and optical wireless communication systems. It is noteworthy that the presented expressions include several previous results in the literature as special cases.

preprint2015arXivOpen access
Jiayi ZhangMichail MatthaiouGeorge K. KaragiannidisLinglong Dai
math.ITInformation Theory
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Jiayi ZhangMichail MatthaiouGeorge K. KaragiannidisLinglong Dai

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