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    BER of subcarrier MPSK and MDPSK systems in atmospheric turbulence

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    Type
    Article
    Authors
    Song, Xuegui
    Yang, Fan
    Cheng, Julian
    Alouini, Mohamed-Slim cc
    KAUST Department
    Electrical Engineering Program
    Computer, Electrical and Mathematical Sciences and Engineering (CEMSE) Division
    Communication Theory Lab
    Date
    2015-01-01
    Permanent link to this record
    http://hdl.handle.net/10754/575630
    
    Metadata
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    Abstract
    Bit-error rate (BER) performance of subcarrier $M$-ary phase-shift keying (MPSK) and $M$-ary differential PSK (MDPSK) is analyzed for optical wireless communications over Gamma-Gamma and lognormal turbulence channels. We study the relation between the exact BER and the approximate BER, which is obtained by dividing the symbol-error rate by the number of bits per symbol, for subcarrier MPSK and MDPSK modulations. The asymptotic BER performance gap between the exact and the approximate BERs is quantified analytically through our asymptotic analyses. The accuracy of the approximate BER of both MPSK and MDPSK depends on the channel conditions. Under weak turbulence conditions, the approximate BER expression can be used to predict the system performance with high accuracy, while under strong turbulence conditions the approximate BER becomes inaccurate and can only serve as a loose lower bound of the exact BER. The asymptotic BER performance loss of MDPSK with respect to MPSK is also quantified analytically.
    Citation
    Song, X., Yang, F., Cheng, J., & Alouini, M.-S. (2015). BER of Subcarrier MPSK and MDPSK Systems in Atmospheric Turbulence. Journal of Lightwave Technology, 33(1), 161–170. doi:10.1109/jlt.2014.2384027
    Sponsors
    This work was supported by an NSERC Discovery Grant.
    Publisher
    Institute of Electrical and Electronics Engineers (IEEE)
    Journal
    Journal of Lightwave Technology
    DOI
    10.1109/JLT.2014.2384027
    ae974a485f413a2113503eed53cd6c53
    10.1109/JLT.2014.2384027
    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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