DocumentCode
1216452
Title
Infinite-series representations associated with the bivariate rician distribution and their applications
Author
Zogas, Dimitris A. ; Karagiannidis, George K.
Author_Institution
Dept. of Electr. & Comput. Eng., Aristotle Univ. of Thessaloniki, Greece
Volume
53
Issue
11
fYear
2005
Firstpage
1790
Lastpage
1794
Abstract
Analytical expressions for the evaluation of the bivariate Rician cumulative distribution function (CDF), the covariance, and the characteristic function (CHF) are not known, despite their usefulness in wireless communications systems analysis. In this letter, motivated by the ability of the Rician model to describe fading in wireless communications, we derive infinite-series representations for the probability density function, the CDF, the covariance, and the CHF of two correlated Rician random variables. It is shown that the presented infinite-series expressions converge rapidly, and can be efficiently used to study several performance criteria for dual-diversity receivers operating over correlated Rician fading channels.
Keywords
Rician channels; covariance analysis; wireless channels; Rician cumulative distribution function; Rician fading channel; Rician random variable; covariance; digital communication; dual-diversity receiver; infinite-series representation; probability density function; wireless communication system; Distribution functions; Diversity methods; Diversity reception; Nakagami distribution; Probability density function; Random variables; Rayleigh channels; Rician channels; Weibull fading channels; Wireless communication; Communications channels; Rician fading; correlated fading; digital communications; fading channels;
fLanguage
English
Journal_Title
Communications, IEEE Transactions on
Publisher
ieee
ISSN
0090-6778
Type
jour
DOI
10.1109/TCOMM.2005.858659
Filename
1532472
Link To Document