Title :
Moment Generating Functions of the Generalized η-μ and k-μ Distributions and Their Applications to Performance Evaluations of Communication Systems
Author_Institution :
Dept. of Commun. & Networking, Helsinki Univ. of Technol., Helsinki
fDate :
7/1/2008 12:00:00 AM
Abstract :
In this letter, we prove that in contrast with earlier reported results the moment generating functions (MGFs) of the generalized eta - mu and re k - mu distributions are expressed in terms of elementary functions. Thus by employing the MGF-based approach one can easily evaluate average bit error rates (ABERs) in fading radio channels characterized statistically by the eta - mu and re k - mu distributions either in terms of elementary functions or in terms of finite-range integrals of elementary functions.
Keywords :
error statistics; fading channels; integral equations; statistical distributions; average bit error rate; communication system performance evaluation; elementary function; fading radio channel; finite-range integral; generalized eta-mu distribution; generalized k-mu distribution; moment generating function; statistical distribution; Bit error rate; Electronic mail; Modulation; Nakagami distribution; Probability density function; Rayleigh channels; Scattering parameters; Signal generators; Signal to noise ratio; Weibull fading channels;
Journal_Title :
Communications Letters, IEEE
DOI :
10.1109/LCOMM.2008.080365