Correlated Phenomena in Wireless Communications: A Copula Approach

  • S. N. LivieratosEmail author
  • A. Voulkidis
  • G. E. Chatzarakis
  • P. G. Cottis
Part of the Springer Optimization and Its Applications book series (SOIA, volume 91)


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.


Wireless fades Copulas Fade mitigation techniques Multipath fading Rain attenuation 



This research has been co-financed by the European Union (European Social Fund-ESF) and Greek national funds through the Operational Program “Education and Lifelong Learning” of the National Strategic Reference Framework (NSRF)-Research Funding Program: Thales-Athens University of Economics and Business-New Methods in the Analysis of Market Competition: Oligopoly, Networks and Regulation.


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Copyright information

© Springer International Publishing Switzerland 2014

Authors and Affiliations

  • S. N. Livieratos
    • 1
    Email author
  • A. Voulkidis
    • 2
  • G. E. Chatzarakis
    • 1
  • P. G. Cottis
    • 2
  1. 1.Department of Electrical and Electronic Engineering EducatorsSchool of Pedagogical and Technological Education (ASPETE)AthensGreece
  2. 2.School of Electrical and Computer Engineering, National Technical University of AthensZografou, AthensGreece

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