DocumentCode
812302
Title
Moment Generating Functions of the Generalized η-μ and k-μ Distributions and Their Applications to Performance Evaluations of Communication Systems
Author
Ermolova, N.Y.
Author_Institution
Dept. of Commun. & Networking, Helsinki Univ. of Technol., Helsinki
Volume
12
Issue
7
fYear
2008
fDate
7/1/2008 12:00:00 AM
Firstpage
502
Lastpage
504
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;
fLanguage
English
Journal_Title
Communications Letters, IEEE
Publisher
ieee
ISSN
1089-7798
Type
jour
DOI
10.1109/LCOMM.2008.080365
Filename
4570452
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