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

J. Y. Zhang ; Michail Matthaiou (Institutionen för signaler och system, Signalbehandling) ; G. K. Karagiannidis ; L. L. Dai
IEEE Transactions on Vehicular Technology (0018-9545). Vol. 65 (2016), 5, p. 3834-3840.
[Artikel, refereegranskad vetenskaplig]

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.

Nyckelord: Diversity receivers, free-space optical (FSO) communications, multivariate gamma-gamma (GG) distribution



Denna post skapades 2016-06-17. Senast ändrad 2016-07-08.
CPL Pubid: 237877

 

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Institutioner (Chalmers)

Institutionen för signaler och system, Signalbehandling

Ämnesområden

Signalbehandling

Chalmers infrastruktur