On the Multivariate Gamma-Gamma Distribution With Arbitrary Correlation and Applications in Wireless Communications

Journal article, 2016

The statistical properties of the multivariate gamma-gamma (Gamma Gamma) 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 (mgf) of the multivariate Gamma Gamma distribution with arbitrary correlation. Furthermore, we present novel approximating expressions for the pdf and cdf of the sum of Gamma Gamma random variables (RVs) with arbitrary correlation. Based on this statistical analysis, we investigate the performance of radio frequency (RF) and optical wireless communication systems. It is worth noting that the presented expressions include several previous results in the literature as special cases.