2014
DOI: 10.1007/978-3-319-04720-1_6
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Correlated Phenomena in Wireless Communications: A Copula Approach

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Cited by 3 publications
(1 citation statement)
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“…In this regard, the empirical data analysis shows that the Clayton copula is one of the most popular Archimedean copulas which can perfectly describe any specific non-zero level of low tail dependency between individual RVs. Hence, since the outage of transmission often occurs in deep fading conditions (i.e., tail dependence) over wireless communication systems [24], we here exploit the Clayton copula to describe the structure of dependency between correlated fading channel coefficients and generate the corresponding joint CDF. Our analytical and numerical results will reveal that this choice is justified since it can offer good mathematical tractability and accurately describe the impact of spatial correlation between the FA ports in the considered multiuser communication setup.…”
Section: A Statistical Characterizationmentioning
confidence: 99%
“…In this regard, the empirical data analysis shows that the Clayton copula is one of the most popular Archimedean copulas which can perfectly describe any specific non-zero level of low tail dependency between individual RVs. Hence, since the outage of transmission often occurs in deep fading conditions (i.e., tail dependence) over wireless communication systems [24], we here exploit the Clayton copula to describe the structure of dependency between correlated fading channel coefficients and generate the corresponding joint CDF. Our analytical and numerical results will reveal that this choice is justified since it can offer good mathematical tractability and accurately describe the impact of spatial correlation between the FA ports in the considered multiuser communication setup.…”
Section: A Statistical Characterizationmentioning
confidence: 99%