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
fDate :
10/1/1997 12:00:00 AM
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;
Journal_Title :
Communications, IEEE Transactions on
