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    A Generic Simulation Approach for the Fast and Accurate Estimation of the Outage Probability of Single Hop and Multihop FSO Links Subject to Generalized Pointing Errors

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    Type
    Article
    Authors
    Ben Issaid, Chaouki cc
    Park, Kihong cc
    Alouini, Mohamed-Slim cc
    KAUST Department
    Computer, Electrical and Mathematical Sciences and Engineering (CEMSE) Division
    Electrical Engineering Program
    Statistics Program
    Date
    2017-07-28
    Online Publication Date
    2017-07-28
    Print Publication Date
    2017-10
    Permanent link to this record
    http://hdl.handle.net/10754/625284
    
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    Abstract
    When assessing the performance of the free space optical (FSO) communication systems, the outage probability encountered is generally very small, and thereby the use of nave Monte Carlo simulations becomes prohibitively expensive. To estimate these rare event probabilities, we propose in this work an importance sampling approach which is based on the exponential twisting technique to offer fast and accurate results. In fact, we consider a variety of turbulence regimes, and we investigate the outage probability of FSO communication systems, under a generalized pointing error model based on the Beckmann distribution, for both single and multihop scenarios. Selected numerical simulations are presented to show the accuracy and the efficiency of our approach compared to naive Monte Carlo.
    Citation
    Ben Issaid C, Park K-H, Alouini M-S (2017) A Generic Simulation Approach for the Fast and Accurate Estimation of the Outage Probability of Single Hop and Multihop FSO Links Subject to Generalized Pointing Errors. IEEE Transactions on Wireless Communications: 1–1. Available: http://dx.doi.org/10.1109/TWC.2017.2731947.
    Sponsors
    This work is supported by the KAUST-KFUPM research initiative.
    Publisher
    Institute of Electrical and Electronics Engineers (IEEE)
    Journal
    IEEE Transactions on Wireless Communications
    DOI
    10.1109/TWC.2017.2731947
    Additional Links
    http://ieeexplore.ieee.org/document/7995080/
    ae974a485f413a2113503eed53cd6c53
    10.1109/TWC.2017.2731947
    Scopus Count
    Collections
    Articles; Electrical Engineering Program; Statistics Program; Computer, Electrical and Mathematical Sciences and Engineering (CEMSE) Division

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