Title :
The multivariate α-μ distribution
Author :
De Souza, Rausley Adriano Amaral ; Yacoub, Michel Daoud
Author_Institution :
Nat. Inst. of Telecommun., INATEL, Santa Rita do Sapucai, Brazil
fDate :
1/1/2010 12:00:00 AM
Abstract :
An infinite series formulation for the multivariate α-μ joint probability density function with arbitrary correlation matrix and non-identically distributed variates is derived. The expression is exact and general and includes all of the results previously published in the literature concerning the distributions comprised by the α-μ distribution. The general expression is then particularized to an indeed very simple, approximate closed-form solution. In addition, a multivariate joint cumulative distribution function is obtained, again in simple, closed-form manner. As an application example, the exact and approximate performances of the selection combining scheme given in terms of the outage probability is shown. Approximate and exact results are very close to each other for small as well as medium values of correlation.
Keywords :
Nakagami channels; multipath channels; statistical distributions; closed-form solution; correlation matrix; infinite series formulation; joint cumulative distribution function; joint probability density function; multipath fading; multivariate α-μ distribution; outage probability; Closed-form solution; Distribution functions; Diversity reception; Genetic expression; Nakagami distribution; Probability density function; Rayleigh channels; US Department of Transportation; Weibull fading channels; Wireless communication; Correlated fading, α-μ distribution; diversity systems, Nakagami-m fading;
Journal_Title :
Wireless Communications, IEEE Transactions on
DOI :
10.1109/TWC.2010.01.090030