Correlated Phenomena in Wireless Communications: A Copula Approach

S. N. Livieratos (), A. Voulkidis (), G. E. Chatzarakis () and P. G. Cottis ()
Additional contact information
S. N. Livieratos: School of Pedagogical and Technological Education (ASPETE)
A. Voulkidis: School of Electrical and Computer Engineering, National Technical University of Athens
G. E. Chatzarakis: School of Pedagogical and Technological Education (ASPETE)
P. G. Cottis: School of Electrical and Computer Engineering, National Technical University of Athens

A chapter in Applications of Mathematics and Informatics in Science and Engineering, 2014, pp 95-104 from Springer

Abstract: 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.

Keywords: Wireless fades; Copulas; Fade mitigation techniques; Multipath fading; Rain attenuation (search for similar items in EconPapers)
Date: 2014
References: Add references at CitEc
Citations:

There are no downloads for this item, see the EconPapers FAQ for hints about obtaining it.

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:spr:spochp:978-3-319-04720-1_6

Ordering information: This item can be ordered from
http://www.springer.com/9783319047201

DOI: 10.1007/978-3-319-04720-1_6

Access Statistics for this chapter

More chapters in Springer Optimization and Its Applications from Springer
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().