The integration of free-space optical (FSO) communications and relay technology has been envisioned as a promising and effective solution to achieve substantial performance gains for future deep space communications systems. In this article, the system performance of a dual-hop FSO/FSO relay framework for deep space communications is studied, to the best of our knowledge, for the first time, in the presence of plasma absorption, coronal turbulence, and pointing error impairments. More specifically, the Málaga fading distribution model is employed to characterize the coronal channel, since it has a large scope for the scintillation index ranging from weak to strong turbulence. In addition, we present closed-form expressions for the probability density function, the cumulative distribution function, the moment function, and the generalized moments function of the signal-to-noise ratio (SNR) for the whole system by employing an amplify-and-forward relaying protocol. We capitalize on these unified formulations to develop analytical expressions for the critical performance metrics, such as the outage probability, average bit error rate, and ergodic capacity of the whole relay system, considering different combination of the heterodyne detection and intensity modulation with direct-detection techniques in the two hops. To provide more insights into deep space communications system, we also carry out an asymptotic analysis of the metrics in the high SNR regime via an asymptotic expansion of Meijer's G function. The results of Monte Carlo simulations verify all the expressions derived here and prove the improvement of the relay-assisted system than via a single FSO link. Finally, analytical results are presented to reveal the impact of the parameters on the system performance.


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    Titel :

    Relay-Assisted Deep Space Optical Communication System Over Coronal Fading Channels


    Beteiligte:
    Xu, Guanjun (Autor:in) / Zhang, Qinyu (Autor:in) / Song, Zhaohui (Autor:in) / Ai, Bo (Autor:in)


    Erscheinungsdatum :

    2023-12-01


    Format / Umfang :

    1124558 byte




    Medientyp :

    Aufsatz (Zeitschrift)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch



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