DocumentCode :
1418708
Title :
Bivariate Hoyt (Nakagami-q) Distribution
Author :
De Souza, Rausley Adriano Amaral ; Yacoub, Michel Daoud ; Rabelo, Guilherme Silveira
Author_Institution :
Nat. Inst. of Telecommun. - INATEL, Santa Rita do Sapucaiz, Brazil
Volume :
60
Issue :
3
fYear :
2012
fDate :
3/1/2012 12:00:00 AM
Firstpage :
714
Lastpage :
723
Abstract :
New, exact expressions for the probability density and distribution functions of a bivariate Hoyt (Nakagami-q) process with arbitrary correlation pattern in a nonstationary environment are derived, a solution to a longstanding unsolved problem. More specifically, the following are obtained: joint probability density function, joint cumulative distribution function, power and envelope correlation coefficients, and some statistics related to the signal-to-noise ratio at the output of the selection combiner, namely, outage probability and probability density function. The exact expressions are given in infinite series form, but are mathematically tractable, easy to evaluate, and flexible enough to accommodate a myriad of correlation scenarios, useful in the analysis of a more general fading environment. The power correlation coefficient is found in an exact, simple, closed-form formula, whereas the envelope one, also exact, is more mathematically elaborate. Approximate, simple closed-form expressions for the joint distribution are also obtained that yield (i) excellent results for small to medium correlation coefficients and (ii) reasonable ones for high correlation coefficient.
Keywords :
Nakagami channels; statistical distributions; Nakagami-q process; arbitrary correlation pattern; bivariate Hoyt distribution; envelope correlation coefficient; joint cumulative distribution function; joint probability density function; nonstationary environment; outage probability; power correlation coefficient; signal-to-noise ratio; Correlation; Covariance matrix; Diversity reception; Joints; Rayleigh channels; Signal to noise ratio; Bivariate distribution; Hoyt (Nakagami-q); combiner; correlation;
fLanguage :
English
Journal_Title :
Communications, IEEE Transactions on
Publisher :
ieee
ISSN :
0090-6778
Type :
jour
DOI :
10.1109/TCOMM.2012.010512.110308
Filename :
6127841
Link To Document :
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