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    Performance analysis of multihop heterodyne free-space optical communication over general Malaga turbulence channels with pointing error

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    1-s2.0-S0030402617309804-main.pdf
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    Type
    Article
    Authors
    Alheadary, Wael cc
    Park, Kihong cc
    Alouini, Mohamed-Slim cc
    KAUST Department
    Computer, Electrical and Mathematical Sciences and Engineering (CEMSE) Division
    Electrical Engineering Program
    Date
    2017-09-21
    Permanent link to this record
    http://hdl.handle.net/10754/625521
    
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    Abstract
    This work investigates the end-to-end performance of a free space optical amplify-and-forward (AF) channel-state-information (CSI)-assisted relaying system using heterodyne detection over Malaga turbulence channels at the presence of pointing error employing rectangular quadrature amplitude modulation (R-QAM). More specifically, we present exact closed-form expressions for average bit-error rate for adaptive/non-adaptive modulation, achievable spectral efficiency, and ergodic capacity by utilizing generalized power series of Meijer's G-function. Moreover, asymptotic closed form expressions are provided to validate our work at high power regime. In addition, all the presented analytical results are illustrated using a selected set of numerical results. Moreover, we applied the bisection method to find the optimum beam width for the proposed FSO system.
    Citation
    Alheadary WG, Park K-H, Alouini M-S (2017) Performance analysis of multihop heterodyne free-space optical communication over general Malaga turbulence channels with pointing error. Optik - International Journal for Light and Electron Optics. Available: http://dx.doi.org/10.1016/j.ijleo.2017.08.087.
    Publisher
    Elsevier BV
    Journal
    Optik
    DOI
    10.1016/j.ijleo.2017.08.087
    Additional Links
    http://www.sciencedirect.com/science/article/pii/S0030402617309804
    ae974a485f413a2113503eed53cd6c53
    10.1016/j.ijleo.2017.08.087
    Scopus Count
    Collections
    Articles; Electrical and Computer Engineering Program; Computer, Electrical and Mathematical Science and Engineering (CEMSE) Division

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