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    Secrecy Outage Analysis for Satellite-Terrestrial Downlink Transmissions

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    Pan_WCL2020-0681.pdf
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    323.5Kb
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    Description:
    Accepted manuscript
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    Type
    Article
    Authors
    Zhang, Yongqiang
    Ye, Jia cc
    pan, Gaofeng
    Alouini, Mohamed-Slim cc
    KAUST Department
    Communication Theory Lab
    Computer, Electrical and Mathematical Sciences and Engineering (CEMSE) Division
    Electrical Engineering
    Electrical Engineering Program
    Date
    2020-06-03
    Online Publication Date
    2020-06-03
    Print Publication Date
    2020-10
    Submitted Date
    2020-01-22
    Permanent link to this record
    http://hdl.handle.net/10754/663245
    
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    Abstract
    This letter investigates the secrecy outage performance of satellite-to-terrestrial downlink transmissions consisting of one legitimate receiver (D) and one eavesdropper (E). To reflect the practical application scenarios, it is assumed that D and E are randomly distributed in the footprint of the satellite. Furthermore, in the considered downlink scenario, D and E are equipped with multiple antennas, and maximal ratio combining (MRC) technique is adopted at both of them to seek the maximum receiving diversity gain. To reveal the impacts of the randomness of the positions of D and E, and MRC scheme on the secrecy outage performance of the considered satellite-terrestrial system, the exact and asymptotic closed-form analytical expressions for secrecy outage probability are derived by using stochastic geometry method. Finally, simulation results are given to confirm the accuracy of our proposed analytical models.
    Citation
    Zhang, Y., Ye, J., Pan, G., & Alouini, M.-S. (2020). Secrecy Outage Analysis for Satellite-Terrestrial Downlink Transmissions. IEEE Wireless Communications Letters, 1–1. doi:10.1109/lwc.2020.2999555
    Publisher
    Institute of Electrical and Electronics Engineers (IEEE)
    Journal
    IEEE Wireless Communications Letters
    DOI
    10.1109/LWC.2020.2999555
    Additional Links
    https://ieeexplore.ieee.org/document/9107123/
    https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=9107123
    ae974a485f413a2113503eed53cd6c53
    10.1109/LWC.2020.2999555
    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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