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    MGF Approach to the Analysis of Generalized Two-Ray Fading Models

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    Type
    Article
    Authors
    Rao, Milind
    Lopez-Martinez, F. Javier
    Alouini, Mohamed-Slim cc
    Goldsmith, Andrea J. cc
    KAUST Department
    Communication Theory Lab
    Computer, Electrical and Mathematical Sciences and Engineering (CEMSE) Division
    Electrical Engineering Program
    Date
    2015-01-01
    Online Publication Date
    2015-01-01
    Print Publication Date
    2015
    Permanent link to this record
    http://hdl.handle.net/10754/550511
    
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    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 closedform expression for the moment generating function (MGF) 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.
    Citation
    MGF Approach to the Analysis of Generalized Two-Ray Fading Models 2015:1 IEEE Transactions on Wireless Communications
    Publisher
    Institute of Electrical and Electronics Engineers (IEEE)
    Journal
    IEEE Transactions on Wireless Communications
    DOI
    10.1109/TWC.2014.2388213
    arXiv
    1406.5101
    Additional Links
    http://ieeexplore.ieee.org/lpdocs/epic03/wrapper.htm?arnumber=7001066
    ae974a485f413a2113503eed53cd6c53
    10.1109/TWC.2014.2388213
    Scopus Count
    Collections
    Articles; Electrical and Computer Engineering Program; Communication Theory Lab; Computer, Electrical and Mathematical Science and Engineering (CEMSE) Division

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