DocumentCode :
1409117
Title :
Outage probability of diversity systems over generalized fading channels
Author :
Ko, Young-Chai ; Alouini, Mohamed-Slim ; Simon, Marvin K.
Author_Institution :
Dept. of Electr. & Comput. Eng., Minnesota Univ., Minneapolis, MN, USA
Volume :
48
Issue :
11
fYear :
2000
fDate :
11/1/2000 12:00:00 AM
Firstpage :
1783
Lastpage :
1787
Abstract :
Outage probability is an important performance measure of communication systems operating over fading channels. Relying on a simple and accurate algorithm for the numerical inversion of the Laplace transforms of cumulative distribution functions, we develop a moment generating function-based numerical technique for the outage probability evaluation of maximal-ratio combining (MRC) and postdetection equal-gain combining (EGC) in generalized fading channels for which the fading in each diversity path need not be independent, identically distributed, nor even distributed according to the same family of distributions. The method is then extended to coherent EGC but only for the case of Nakagami-m fading channels. The mathematical formalism is illustrated by applying the method to some selected numerical examples of interest showing the impact of the power delay profile and the fading correlation on the outage probability of MRC and EGC systems.
Keywords :
Laplace transforms; correlation methods; delays; diversity reception; fading channels; inverse problems; probability; signal detection; Laplace transforms; Nakagami-m fading channels; accurate algorithm; coherent EGC; communication systems; cumulative distribution functions; diversity systems; fading correlation; generalized fading channels; maximal-ratio combining; moment generating function-based numerical technique; numerical inversion; outage probability; performance measure; postdetection equal-gain combining; power delay profile; Communication standards; Communication systems; Delay; Distribution functions; Diversity reception; Error analysis; Fading; Laplace equations; Probability density function; Signal to noise ratio;
fLanguage :
English
Journal_Title :
Communications, IEEE Transactions on
Publisher :
ieee
ISSN :
0090-6778
Type :
jour
DOI :
10.1109/26.886467
Filename :
886467
Link To Document :
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