Title :
The Multivariate alpha-mu Distribution
Author :
De Souza, Rausley Adriano Amaral ; Yacoub, Michel Daoud
Author_Institution :
State Univ. of Campinas, Campinas
fDate :
March 31 2008-April 3 2008
Abstract :
In this paper, a new infinite series representation for the multivariate alpha-mu joint probability density function is derived allowing for an arbitrary correlation matrix and non-identically distributed variates. The formulation is general and exact and comprises all of the other joint densities that arise from alpha-mu distribution published in the literature.
Keywords :
correlation methods; fading channels; statistical distributions; correlated fading; correlation matrix; infinite series; joint probability density function; multivariate alpha-mu distribution; nonidentically distributed variates; Closed-form solution; Communications Society; Diversity reception; Error probability; Nakagami distribution; Polynomials; Probability density function; Rayleigh channels; Weibull fading channels; Wireless communication;
Conference_Titel :
Wireless Communications and Networking Conference, 2008. WCNC 2008. IEEE
Conference_Location :
Las Vegas, NV
Print_ISBN :
978-1-4244-1997-5
DOI :
10.1109/WCNC.2008.148