DocumentCode :
931928
Title :
Sum of Squared Shadowed-Rice Random Variables and its Application to Communication Systems Performance Prediction
Author :
Alfano, Giuseppa ; De Maio, A.
Author_Institution :
Univ. of Sannio, Roma
Volume :
6
Issue :
10
fYear :
2007
fDate :
10/1/2007 12:00:00 AM
Firstpage :
3540
Lastpage :
3545
Abstract :
The distribution of the sum of non-negative random variables plays an essential role in the performance analysis of diversity schemes for wireless communications over fading channels. While for common fading models such as the Rayleigh, Rice, and Nakagami, the performance of diversity systems is well understood, a minor attention has been devoted to the shadowed-Rice (SR) case, namely a Rice fading channel with fluctuating (e.g. random) Line of Sight (LOS) component. Indeed, the analytical performance evaluation of diversity systems on SR fading channels requires the availability of handy expressions for the distribution of the combined received power. To this end, the rationale of this paper is twofold: first, to evaluate the distribution of the sum of SR random variables, both for the case of independent as well as correlated LOS components, and then to carry out an extensive performance analysis of maximal ratio combining (MRC) detection scheme on SR fading channels.
Keywords :
Nakagami channels; Rayleigh channels; diversity reception; random processes; LOS component; Nakagami channels; Rayleigh channels; Rice channels; communication systems performance prediction; diversity schemes; fading channels; line of sight component; maximal ratio combining detection scheme; shadowed-Rice case; squared shadowed-Rice random variables; wireless communications; Availability; Diversity reception; Fading; Least squares approximation; Nakagami distribution; Performance analysis; Random variables; Rayleigh channels; Strontium; Wireless communication;
fLanguage :
English
Journal_Title :
Wireless Communications, IEEE Transactions on
Publisher :
ieee
ISSN :
1536-1276
Type :
jour
DOI :
10.1109/TWC.2007.060202
Filename :
4350303
Link To Document :
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