On the Performance of RIS-Assisted Dual-Hop Mixed RF-UWOC Systems

Abstract
In this paper, we investigate the performance of a reconfigurable intelligent surface (RIS)-assisted dual-hop mixed radio-frequency underwater wireless optical communication (RF-UWOC) system. An RIS is an emerging and low-cost technology that aims to enhance the strength of the received signal, thus improving the system performance. In the considered system setup, a ground source does not have a reliable direct link to a given marine buoy and communicates with it through an RIS installed on a building. In particular, the fixed buoy acts as a relay that sends the signal to an underwater destination. In this context, analytical expressions for the outage probability (OP), average bit error rate (ABER), and average channel capacity (ACC) are derived assuming fixed-gain amplify-and-forward (AF) and decode-and-forward (DF) relaying protocols at the marine buoy. Moreover, asymptotic analyses of the OP and ABER are carried out in order to gain further insights from the analytical frameworks. In particular, the system diversity order is derived and it is shown to depend on the RF link parameters and on the detection schemes of the UWOC link. Finally, it is demonstrated that RIS-assisted systems can effectively improve the performance of mixed dual-hop RF-UWOC systems.

Citation
Li, S., Yang, L., da Costa, D. B., Di Renzo, M., & Alouini, M.-S. (2021). On the Performance of RIS-Assisted Dual-Hop Mixed RF-UWOC Systems. IEEE Transactions on Cognitive Communications and Networking, 1–1. doi:10.1109/tccn.2021.3058670

Acknowledgements
This work was in part supported by the Department of Education of Guangdong Province (No. 2016KZDXM050), the Science and Technology Program of Guangzhou (No.201904010249), the Science and Technology Program of Changsha (kq1907112), and the Open Fund of IPOC (BUPT). The review of this paper was coordinated by Prof. Ying-Chang Liang

Publisher
Institute of Electrical and Electronics Engineers (IEEE)

Journal
IEEE Transactions on Cognitive Communications and Networking

DOI
10.1109/TCCN.2021.3058670

arXiv
2011.09060

Additional Links
https://ieeexplore.ieee.org/document/9352962/https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=9352962

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