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    Secrecy Analysis in SWIPT Systems Over Generalized-K Fading Channels

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    Type
    Article
    Authors
    Wang, Zhijie
    Zhao, Hui
    Wang, Shuai
    Zhang, Jiankang
    Alouini, Mohamed-Slim cc
    KAUST Department
    Computer, Electrical and Mathematical Sciences and Engineering (CEMSE) Division
    Electrical Engineering Program
    Date
    2019-03-26
    Online Publication Date
    2019-03-26
    Print Publication Date
    2019-05
    Permanent link to this record
    http://hdl.handle.net/10754/631765
    
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    Abstract
    In this letter, we investigate the secrecy performance of the simultaneous wireless information and power transfer (SWIPT) system over generalized-K fading channels. After analyzing the communications scenario, we derive the closed-form expression for the secrecy outage probability (SOP), and give some simplified expressions for SOP in some special cases. Effective secrecy throughput is also investigated to capture the amount of secure transmitted information. To derive the diversity order, the asymptotic SOP is also analyzed when the average signal-to-noise ratio is large sufficiently. Finally, numerical results are used to validate the correctness of our derived expressions.
    Citation
    Wang Z, Zhao H, Wang S, Zhang J, Alouini M-S (2019) Secrecy Analysis in SWIPT Systems Over Generalized-K Fading Channels. IEEE Communications Letters: 1–1. Available: http://dx.doi.org/10.1109/LCOMM.2019.2907490.
    Sponsors
    This research was supported in part by the National Science Foundation under contract U1636125, U1836201, 61571401, 61471360 and 61401372, by the Research Fund for the Doctoral Program of Higher Education of China under Grant 20130182120017, and by the Innovative Talent of Colleges and University of Henan Province under grant 18HASTIT021.
    Publisher
    Institute of Electrical and Electronics Engineers (IEEE)
    Journal
    IEEE Communications Letters
    DOI
    10.1109/LCOMM.2019.2907490
    Additional Links
    https://ieeexplore.ieee.org/document/8674814
    ae974a485f413a2113503eed53cd6c53
    10.1109/LCOMM.2019.2907490
    Scopus Count
    Collections
    Articles; Electrical Engineering Program; Electrical Engineering Program; Computer, Electrical and Mathematical Sciences and Engineering (CEMSE) Division

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