Investigations on the performance of IRS-assisted underwater wireless optical communication
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Indu Bala
Abstract
Underwater wireless optical communication (UWOC) has emerged as a key technology to overcome the bottleneck of acoustic and radio frequency systems, offering high data rates and low latency. However, the severe absorption, scattering, turbulence, and water turbidity restrict the achievable communication range. To address this challenge, this work investigates the role of Intelligent Reflecting Surfaces (IRS) in extending UWOC coverage under diverse channel conditions. Closed-form expressions for maximum achievable link distance are derived for conventional relaying schemes, namely detect-and-forward (DF) and amplify-and-forward (AF), and are further extended to passive and active IRS-assisted configurations under both coherent and incoherent combining for UWOC. Analytical modeling and simulations are conducted for different water types, including pure sea, clear ocean, coastal, and harbor waters, to evaluate performance under varying extinction coefficients. Results demonstrate that while direct UWOC links are limited to a few tens of meters, IRS-assisted systems, particularly with coherent combining and active surfaces, enable significant range extensions. Comparative analysis confirms that IRS schemes achieve superior performance as compared to AF/DF relays, with DF relaying still dominating under stringent reliability requirements. The findings establish IRS as a promising enabler for robust, long-distance UWOC links in next-generation marine networks.
Acknowledgments
The authors are sincerely thankful to the anonymous reviewers for their comments and suggestions to improve the quality of the manuscript.
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Research ethics: No primary data were collected, and no experiments involving human participants or animals were conducted by the authors for this work. All sources of information have been duly acknowledged and cited to maintain academic integrity and avoid plagiarism. The authors affirm that the preparation of this manuscript adheres to ethical standards of research and publication, including honest reporting, proper attribution, and respect for intellectual property rights.
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Informed consent:Not applicable.
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Author contributions: Indu Bala has conceptualized, written original draft, and reviewed literature.
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Use of Large Language Models, AI and Machine Learning Tools: Not declared.
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Conflict of interest: The authors have no conflict of interest regarding the publication of this research article.
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Research funding: The authors did not receive any financial support for the research, authorship, or publication of this article.
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Data availability: There is no data associated with this manuscript.
References
1. Elamassie, M. Visible light communication techniques for future generation underwater networks. Doctoral dissertation. Istanbul, Türkiye: Ozyegin University; 2020.Search in Google Scholar
2. Kumari, M, Arya, V. Investigation of 2.24 Tbps full-duplex integrated multi-beam FSO/MDM-next generation PON under diverse atmospheric conditions. Optik 2023;290:171293. https://doi.org/10.1016/j.ijleo.2023.171293.Search in Google Scholar
3. Arya, V. Design of a dual LG modal 4× 50Gbps OFDM-FSO system using backhaul fiber and fronthaul FSO link under severe climate scenarios. Int J Inf Technol 2025:1–7. https://doi.org/10.1007/s41870-025-02708-5.Search in Google Scholar
4. Arya, V, Kumari, M, Chauhan, R, Sharma, N. Full-duplex OFDM modulation based FSO-fiber system for 5G scenario. In: 2023 6th International Conference on Contemporary Computing and Informatics (IC3I), vol 6. IEEE, Noida, India; 2023. p. 838–41. https://doi.org/10.1109/ic3i59117.2023.10397632.Search in Google Scholar
5. Zeng, Z, Fu, S, Zhang, H, Dong, Y, Cheng, J. A survey of underwater optical wireless communications. IEEE Commun. Surv. Tutorials 2016;19:204–38. https://doi.org/10.1109/comst.2016.2618841.Search in Google Scholar
6. Gabriel, C, Khalighi, MA, Bourennane, S, Léon, P, Rigaud, V. Monte-Carlo-based channel characterization for underwater optical communication systems. J Opt Commun Netw 2012;5:1–12. https://doi.org/10.1364/jocn.5.000001.Search in Google Scholar
7. Doniec, M, Angermann, M, Rus, D. An end-to-end signal strength model for underwater optical communications. IEEE J Ocean Eng 2013;38:743–57. https://doi.org/10.1109/joe.2013.2278932.Search in Google Scholar
8. Kumari, M, Arya, V. 8× 200 gbps hybrid PON and digital filter multiple access incorporating Fiber‐FSO link impairments in a wheel architecture. Int J Commun Syst 2025;38:e70018. https://doi.org/10.1002/dac.70018.Search in Google Scholar
9. Mohammed, AS, Adnan, SA, Ali, MAA, Al-Azzawi, WK. Underwater wireless optical communications links: perspectives, challenges and recent trends. J Opt Commun 2024;45:937–45. https://doi.org/10.1515/joc-2022-0063.Search in Google Scholar
10. Jamali, MV, Chizari, A, Salehi, JA. Performance analysis of multi-hop underwater wireless optical communication systems. IEEE Photon Technol Lett 2017;29:462–5. https://doi.org/10.1109/lpt.2017.2657228.Search in Google Scholar
11. Sun, S, Yang, F, Mei, W, Song, J, Han, Z, Zhang, R. Optical IRS for visible light communication: from optics model to association model. In: IEEE Wireless Communications, vol. 32, no. 4, 2025. p. 162–9.10.1109/MWC.014.2400354Search in Google Scholar
12. Zhang, Q, Yue, DW, Xu, XY. Performance analysis of reconfigurable intelligent surface-assisted underwater wireless optical communication systems. IEEE Photon J 2024;16:1–14. https://doi.org/10.1109/jphot.2024.3407882.Search in Google Scholar
13. Salam, R, Srivastava, A, Bohara, VA, Ashok, A. An optical intelligent reflecting surface-assisted underwater wireless communication system. IEEE Open J Commun Soc 2023;4:1774–86. https://doi.org/10.1109/ojcoms.2023.3303190.Search in Google Scholar
14. Luo, Y, Pu, L, Peng, Z, Zhou, Z, Cui, JH, Zhang, Z. Effective relay selection for underwater cooperative acoustic networks. In: 2013 IEEE 10th International Conference on Mobile Ad-Hoc and Sensor Systems. IEEE, HangZhou, ZheJiang Province, China; 2013. p. 104–12.10.1109/MASS.2013.36Search in Google Scholar
15. Ata, Y, Abumarshoud, H, Bariah, L, Muhaidat, S, Imran, MA. Intelligent reflecting surfaces for underwater visible light communications. IEEE Photon J 2023;15:1–10. https://doi.org/10.1109/jphot.2023.3235916.Search in Google Scholar
16. Naik, RP, Chung, WY. Evaluation of reconfigurable intelligent surface-assisted underwater wireless optical communication system. J Lightwave Technol 2022;40:4257–67. https://doi.org/10.1109/jlt.2022.3162627.Search in Google Scholar
17. Hashempour, HR, Berardinelli, G, Adeogun, R, Jorswieck, EA. Power efficient cooperative communication within IIoT subnetworks: relay or RIS? IEEE Internet Things J 2024;12:12483–500. https://doi.org/10.1109/jiot.2024.3521001.Search in Google Scholar
18. Hamid, H, Begh, GR. IRS assisted UAV communications for 6G networks: a systematic literature review. Wirel Netw 2025;31:779–807. https://doi.org/10.1007/s11276-024-03798-y.Search in Google Scholar
19. Sharma, K, Kaur, S, Singh, H. Channel modelling and performance analysis of switching based hybrid FSO/RF communication system. J Opt 2025:1–9. https://doi.org/10.1007/s12596-025-02811-7.Search in Google Scholar
20. Devappa, BD, Pawar, K, Jain, S, Narayanan, SS, Mahale, KP, Murthy, AVR. Practical implementation and performance evaluation of different modulation and forward error correction techniques in underwater optical communication testbed. J Opt 2025:1–13. https://doi.org/10.1007/s12596-025-02847-9.Search in Google Scholar
21. Chatterjee, B, Rajan, S, Kumar, A, Deepa, SK, Versha, MR. Simulation and fabrication of underwater communication system through Li-Fi technology at different scenarios. J Opt 2025:1–18. https://doi.org/10.1007/s12596-025-02863-9.Search in Google Scholar
22. Yadav, K, Parashar, H, Mondal, S. Comparative analysis of intelligent reflecting surfaces and AF/DF relaying for energy efficient wireless communication. EURASIP J Wirel Commun Netw 2025;2025:26. https://doi.org/10.1186/s13638-025-02453-0.Search in Google Scholar
23. Elamassie, M, Miramirkhani, F, Uysal, M. Performance characterization of underwater visible light communication. IEEE Trans Commun 2018;67:543–52. https://doi.org/10.1109/tcomm.2018.2867498.Search in Google Scholar
24. Lam, VT, Van Thang, N, Sy TD, Ngoc DT. Outage performance of irs-assisted underwater optical wireless communication systems over combined channel model. In: 2023 19th International Conference on Wireless and Mobile Computing, Networking and Communications (WiMob). IEEE, Montreal, Canada; 2023. p. 318–23.10.1109/WiMob58348.2023.10187833Search in Google Scholar
25. Mehta, H, Kumar, R, Prakriya, S. Performance analysis of an underwater partitioned IRS-assisted VLC link with energy harvesting. In: 2025 17th International Conference on COMmunication Systems and NETworks (COMSNETS). IEEE, Bengaluru, India; 2025. p. 998–1002.10.1109/COMSNETS63942.2025.10885570Search in Google Scholar
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