DocumentCode
3276851
Title
The Multivariate alpha-mu Distribution
Author
De Souza, Rausley Adriano Amaral ; Yacoub, Michel Daoud
Author_Institution
State Univ. of Campinas, Campinas
fYear
2008
fDate
March 31 2008-April 3 2008
Firstpage
808
Lastpage
812
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;
fLanguage
English
Publisher
ieee
Conference_Titel
Wireless Communications and Networking Conference, 2008. WCNC 2008. IEEE
Conference_Location
Las Vegas, NV
ISSN
1525-3511
Print_ISBN
978-1-4244-1997-5
Type
conf
DOI
10.1109/WCNC.2008.148
Filename
4489179
Link To Document