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    Interference-Limited Mixed MUD-RF/FSO Two-Way Cooperative Networks over Double Generalized Gamma Turbulence Channels

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    Type
    Article
    Authors
    Upadhya, Abhijeet
    Dwivedi, Vivek K.
    Alouini, Mohamed-Slim cc
    KAUST Department
    Computer, Electrical and Mathematical Sciences and Engineering (CEMSE) Division
    Electrical Engineering
    Electrical Engineering Program
    Date
    2019
    Permanent link to this record
    http://hdl.handle.net/10754/655946
    
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    Abstract
    In this letter, the performance of multiuser-radio frequency/free space optics (RF/FSO) two-way relay network in the presence of interference is investigated. The FSO link accounts for pointing errors and both types of detection techniques, i.e. intensity modulation/direct detection as well as coherent demodulation, which is modeled as double generalized gamma (D-GG) turbulence channel. On the other hand, the multiple users on the RF link are assumed to undergo Nakagami-m fading. Multiple co-channel interferers (CCIs) which corrupt the signal at relay node are modeled using Nakagami-m distribution. Specifically, the exact closed-form expressions for the outage probability (OP) of the overall system is derived. Moreover, the closed form expression for the achievable sum-rate (ASR) of the considered system is presented. In order to simplify the results, the asymptotic approximations of the OP and ASR are derived in terms of elementary functions. The results presented in the paper are validated by Monte-Carlo simulations.
    Citation
    Upadhya, A., Dwivedi, V. K., & Alouini, M.-S. (2019). Interference-Limited Mixed MUD-RF/FSO Two-Way Cooperative Networks Over Double Generalized Gamma Turbulence Channels. IEEE Communications Letters, 23(9), 1551–1555. doi:10.1109/lcomm.2019.2924217
    Publisher
    Institute of Electrical and Electronics Engineers (IEEE)
    Journal
    IEEE Communications Letters
    DOI
    10.1109/LCOMM.2019.2924217
    Additional Links
    https://ieeexplore.ieee.org/document/8742898/
    https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8742898
    ae974a485f413a2113503eed53cd6c53
    10.1109/LCOMM.2019.2924217
    Scopus Count
    Collections
    Articles; Electrical Engineering Program; Computer, Electrical and Mathematical Sciences and Engineering (CEMSE) Division

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