Correlated phenomena in wireless communications: A copula approach

Abstract

Copulas are multivariate joint distributions of random variables with uniform marginal distributions. A quite interesting topic in statistical modelling is how the inefficiencies, appearing when the classical linear (Pearson) correlation coefficient is employed, can be overcome. Copulas are increasingly being involved to address such challenges. In the present article, the concept of copulas is employed in the framework of wireless communications and is related to multivariate correlated fading phenomena as well as to the relevant fade mitigation techniques. The multivariate copula-based models employed in the present work are general and can be customized to any continuous multivariate random variables.