Handbook of Mathematical Functions, With Formulas, Graphs, and Mathematical Tables,
Handbook of Mathematical Functions, With Formulas, Graphs, and Mathematical Tables,
On the α-µ autocorrelation and power spectrum functions: field trials and validation
GLOBECOM'09 Proceedings of the 28th IEEE conference on Global telecommunications
An efficient approach to multivariate Nakagami-m distribution using Green's matrix approximation
IEEE Transactions on Wireless Communications
Bivariate nakagami-m distribution with arbitrary correlation and fading parameters
IEEE Transactions on Wireless Communications - Part 2
On multivariate Rayleigh and exponential distributions
IEEE Transactions on Information Theory
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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.