DocumentCode
1043870
Title
Bivariate nakagami-m distribution with arbitrary correlation and fading parameters
Author
De Souza, Rausley Adriano Amaral ; Yacoub, Michel Daoud
Author_Institution
Inst. Nac. de Telecomun., Santa Rita do Sapucai
Volume
7
Issue
12
fYear
2008
fDate
12/1/2008 12:00:00 AM
Firstpage
5227
Lastpage
5232
Abstract
New, exact expressions concerning the bivariate Nakagami-m processes with arbitrary correlation and fading parameters are derived. More specifically, the following are obtained in the present work: joint moment generating function; joint probability density function; joint cumulative distribution function; power correlation coefficient; and several statistics related to the signal-to-noise ratio at the output of the selection combiner, namely, outage probability, probability density function, and mean SNR. The expressions make use of the well known generalized Laguerre polynomials. They are mathematically tractable and flexible enough to accommodate a myriad of correlation scenarios, useful in the analysis of a more general fading environment. We maintain, however, that a relation among the correlation coefficients of the corresponding Gaussian components must be kept so that convergence is attained.
Keywords
Nakagami channels; Gaussian components; Laguerre polynomials; arbitrary correlation; bivariate Nakagami-mm distribution; fading parameters; joint cumulative distribution function; joint moment generating function; joint probability density function; outage probability; power correlation coefficient; probability density function; selection combiner; signal-to-noise ratio; statistics; Convergence; Distribution functions; Fading; Nakagami distribution; Polynomials; Power generation; Probability density function; Signal generators; Signal to noise ratio; Statistical distributions; Bivariate distribution, correlation, Nakagami-m; fading channels, combiners.;
fLanguage
English
Journal_Title
Wireless Communications, IEEE Transactions on
Publisher
ieee
ISSN
1536-1276
Type
jour
DOI
10.1109/T-WC.2008.071152
Filename
4723329
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