DocumentCode
1330603
Title
Infinite series representations of the bivariate Rayleigh and Nakagami-m distributions
Author
Tan, Christopher C. ; Beaulieu, Norman C.
Author_Institution
Dept. of Electr. & Comput. Eng., Queen´´s Univ., Kingston, Ont., Canada
Volume
45
Issue
10
fYear
1997
fDate
10/1/1997 12:00:00 AM
Firstpage
1159
Lastpage
1161
Abstract
Despite the usefulness of the bivariate (correlated) Nakagami-m cumulative distribution function (cdf) in communications systems analysis, an infinite series for the computation of this function is not known. In this letter, an infinite series representation of the bivariate cdf is derived. Bounds on the error resulting from truncation of the infinite series are also derived
Keywords
fading; probability; radiocommunication; series (mathematics); bivariate Nakagami-m distribution; bivariate Rayleigh distribution; communications systems analysis; cumulative distribution function; error bounds; infinite series representation; Distributed computing; Distribution functions; Diversity methods; Helium; MATLAB; Mathematical model; Nakagami distribution; Probability density function; Random variables; Rayleigh channels;
fLanguage
English
Journal_Title
Communications, IEEE Transactions on
Publisher
ieee
ISSN
0090-6778
Type
jour
DOI
10.1109/26.634675
Filename
634675
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