DocumentCode
112663
Title
MGF Approach to the Analysis of Generalized Two-Ray Fading Models
Author
Rao, Milind ; Lopez-Martinez, F. Javier ; Alouini, Mohamed-Slim ; Goldsmith, Andrea
Author_Institution
Dept. of Electr. Eng., Stanford Univ., Stanford, CA, USA
Volume
14
Issue
5
fYear
2015
fDate
May-15
Firstpage
2548
Lastpage
2561
Abstract
We analyze a class of generalized two-ray (GTR) fading channels that consist of two line-of-sight (LOS) components with random phase plus a diffuse component. We derive a closed-form expression for the moment-generating function of the signal-to-noise ratio (SNR) for this model, which greatly simplifies its analysis. This expression arises from the observation that the GTR fading model can be expressed in terms of a conditional underlying Rician distribution. We illustrate the approach to derive simple expressions for statistics and performance metrics of interest, such as the amount of fading, the level crossing rate, the symbol error rate, and the ergodic capacity in GTR fading channels. We also show that the effect of considering a more general distribution for the phase difference between the LOS components has an impact on the average SNR.
Keywords
Rician channels; channel capacity; error statistics; GTR fading channel model; LOS component; MGF approach; SNR; closedform expression; conditional underlying Rician distribution; ergodic capacity; generalized two-ray fading channel model; line-of-sight component; moment-generating function; phase difference distribution; signalto-noise ratio; statistics; symbol error rate; Analytical models; Measurement; Rayleigh channels; Rician channels; Signal to noise ratio; Wireless communication; Envelope statistics; Rician fading; Two Ray; fading channels; hyper- Rayleigh fading; hyper-Rayleigh fading; moment generating function; multipath propagation; small-scale fading; two ray;
fLanguage
English
Journal_Title
Wireless Communications, IEEE Transactions on
Publisher
ieee
ISSN
1536-1276
Type
jour
DOI
10.1109/TWC.2014.2388213
Filename
7001066
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