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    Unified Finite Series Approximation of FSO Performance over Strong Turbulence Combined with Various Pointing Error Conditions

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    GammaGamma_journal_twocolumn_0209.pdf
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    Type
    Article
    Authors
    Jung, Kug-Jin
    Nam, Sung Sik
    Alouini, Mohamed-Slim cc
    Ko, Young-Chai
    KAUST Department
    Communication Theory Lab
    Computer, Electrical and Mathematical Sciences and Engineering (CEMSE) Division
    Electrical Engineering Program
    Date
    2020-07-10
    Online Publication Date
    2020-07-10
    Print Publication Date
    2020-10
    Permanent link to this record
    http://hdl.handle.net/10754/661871
    
    Metadata
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    Abstract
    In this paper, we investigate both the bit error rate (BER) and outage performance of free-space optical (FSO) links over strong turbulence combined with various pointing error conditions. Considering atmospheric turbulence and pointing errors as main factors that deteriorate the quality of an optical link, we obtain a unified finite series approximation of the composite probability density function, which embraces generalized pointing error models. This approximation leads to new unified formulas for the BER and outage capacity of an FSO link, which account for the two possible detection mechanisms of intensity modulation/direct detection and heterodyne detection. Selected simulation results confirm that the newly derived approximations can give precise predictions of both the average BER and the outage capacity of FSO communication that are generally applicable to all environments.
    Citation
    Jung, K.-J., Nam, S. S., Alouini, M.-S., & Ko, Y.-C. (2020). Unified Finite Series Approximation of FSO Performance over Strong Turbulence Combined with Various Pointing Error Conditions. IEEE Transactions on Communications, 1–1. doi:10.1109/tcomm.2020.3008459
    Publisher
    Institute of Electrical and Electronics Engineers (IEEE)
    Journal
    IEEE Transactions on Communications
    DOI
    10.1109/TCOMM.2020.3008459
    Additional Links
    https://ieeexplore.ieee.org/document/9138485/
    https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=9138485
    ae974a485f413a2113503eed53cd6c53
    10.1109/TCOMM.2020.3008459
    Scopus Count
    Collections
    Electrical and Computer Engineering Program; Communication Theory Lab; Computer, Electrical and Mathematical Science and Engineering (CEMSE) Division; Technical Reports

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