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Relayed FSO communication with aperture averaging receivers and misalignment errors
Author(s) -
Kumar Sharma Prabhat,
Bansal Ankur,
Garg Parul,
Tsiftsis Theodoros,
Barrios Ricardo
Publication year - 2017
Publication title -
iet communications
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.355
H-Index - 62
eISSN - 1751-8636
pISSN - 1751-8628
DOI - 10.1049/iet-com.2016.0253
Subject(s) - fading , subcarrier , free space optical communication , monte carlo method , multipath propagation , aperture (computer memory) , bit error rate , probability density function , moment generating function , relay , exponentiated weibull distribution , signal to noise ratio (imaging) , expression (computer science) , keying , physics , optics , computer science , electronic engineering , optical communication , weibull distribution , telecommunications , mathematics , statistics , acoustics , decoding methods , engineering , power (physics) , orthogonal frequency division multiplexing , channel (broadcasting) , quantum mechanics , programming language
In this study, the performance of decode‐and‐forward relay‐assisted free‐space‐optical (FSO) communication systems under atmospheric turbulence‐induced fading and misalignment errors is investigated. To mitigate the adverse effects of the atmospheric turbulence, the aperture‐averaging receivers are considered both at the relay and destination sides. The atmospheric turbulence‐induced fading is modelled via the exponentiated‐Weibull distribution, which has recently been proposed to characterise an FSO link in the presence of finite‐sized receiver aperture. The expression for the moment generating function (MGF) of the instantaneous signal‐to‐noise ratio is derived. Furthermore, new closed‐form expression for the outage probability is obtained. Moreover, the new expression for the average symbol error rate of the subcarrier intensity‐modulated M ‐ary phase‐shift keying is obtained using the MGF‐based approach. Finally, numerical examples are discussed and all the derived analytical results are corroborated by Monte Carlo simulations.

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