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    Outage analysis of wireless-powered relaying FSO-RF systems with nonlinear energy harvesting

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    optics_vision.pdf
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    Description:
    Accepted manuscript
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    Type
    Article
    Authors
    Zhang, Jiliang
    Ran, Honglin
    Pan, Xiaojun
    Pan, Gaofeng
    Xie, Yiyuan
    KAUST Department
    Computer, Electrical and Mathematical Sciences and Engineering (CEMSE) Division
    Date
    2020-08-03
    Online Publication Date
    2020-08-03
    Print Publication Date
    2020-12
    Embargo End Date
    2022-08-12
    Submitted Date
    2020-06-07
    Permanent link to this record
    http://hdl.handle.net/10754/664624
    
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    Abstract
    In this paper, the outage analysis of a wireless-powered relaying based dual-hop mixed free space optical-radio frequency (FSO-RF) system, which consists of a source (S), a relay (R), a destination (D), and a power beacon (PB), is studied. Specifically, we consider the case where S sends an optical signal to R, R processes the received signal, converts it into a RF signal, and transmits it to D with the energy harvested from PB. Assuming R is with a nonlinear energy harvester, the effects of atmospheric turbulence, two types of detection techniques, pointing error, and saturation threshold of the energy harvester on the outage performance are studied. Specifically, the analytical and asymptotic expressions for outage probability as well as the diversity order are derived. In addition, Monte Carlo simulation results are used to verify the accuracy of the derived expressions.
    Citation
    Zhang, J., Ran, H., Pan, X., Pan, G., & Xie, Y. (2020). Outage analysis of wireless-powered relaying FSO-RF systems with nonlinear energy harvesting. Optics Communications, 477, 126309. doi:10.1016/j.optcom.2020.126309
    Publisher
    Elsevier BV
    Journal
    Optics Communications
    DOI
    10.1016/j.optcom.2020.126309
    Additional Links
    https://linkinghub.elsevier.com/retrieve/pii/S0030401820307264
    ae974a485f413a2113503eed53cd6c53
    10.1016/j.optcom.2020.126309
    Scopus Count
    Collections
    Articles; Computer, Electrical and Mathematical Science and Engineering (CEMSE) Division

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