Abstract
This research paper thoroughly studies modeling, simulation, and performance analysis of underwater optical fiber communication systems, with specific emphasis on submarine cable systems, which form the infrastructural backbone of the internet in the modern world. The study comprehensively covers the multilayered nature of deep-sea optical fiber cables and the engineering practices utilized to protect such systems from the dynamic and extreme nature of the seafloor. To simulate the performance of such complex systems, the paper utilizes OptiSystem, a high-end photonic and fiber-optic communication system design simulation software. Simulations are designed to mimic the nature of deployment in deep waters, testing important parameters like Bit Error Rate (BER), optical power loss, signal-to-noise ratio (SNR), and pulse broadening due to dispersion. The study simulates various scenarios, such as uncompensated and amplified transmission, to mimic real-world degrading and recovery processes. Emphasis is particularly given to signal integrity over distance, i.e., how loss and dispersion are prevented using Erbium-Doped Fiber Amplifiers (EDFAs), Raman amplifiers, and Dispersion Compensation Modules (DCMs). Their locations, spacings, and gains are determined for best quality transmission and economic viability. Wavelength Division Multiplexing (WDM) is also investigated as a technique for bandwidth multiplication with little interference and crosstalk.
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Research ethics: Not applicable.
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Informed consent: Not applicable.
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Author contributions: All authors have accepted responsibility for the entire content of this manuscript and approved its submission.
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Use of Large LanguageModels, AI and Machine Learning Tools: None declared.
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Conflict of interest: The authors state no conflict of interest.
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Research funding: None declared.
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Data availability: Not applicable.
References
1. Saadaoui, H, Bacou, A, Rebiere, Y, Fracasso, B, Morvan, M. Broadband optical network design for the future aircraft cabin. Opt. Continuum 2022;1:719–37. https://doi.org/10.1364/optcon.447053.Search in Google Scholar
2. Ge, J, Liu, J, Gui, K, Ye, L. Atmospheric icing measurement and online ice type recognition for aircraft utilizing optical fibers sensor and machine learning algorithms. Measurement 2022;205:112215. https://doi.org/10.1016/j.measurement.2022.112215.Search in Google Scholar
3. Gary, TS. Overview of NASA research in fibers optics for aircraft controls. In: ISAl88 international conference and exhibit sponsored by the instrument society of America. Houston, TX; 1988.Search in Google Scholar
4. Qiongxiao, L, Jian, B, Yunzhu, S, Lijie, Z, Haiyu, X. Dynamic modeling and underwater configuration analysis of fiber optic cable for UUV-launched UAV. Ocean Eng 2024;303:1–8. https://doi.org/10.1016/j.oceaneng.2024.117774.Search in Google Scholar
5. Alam, MF, Atiquzzaman, M, Duncan, BB, Nguyen, H, Kunath, R. On-Board fibers-optic network architectures for radar and avionics signal distribution. Cleveland, OH: National aeronautics and space administration John H. Glenn research center at Lewis field; 2000.Search in Google Scholar
6. Beranek, MW, Chan, EY, Hager, HE, Le, QN, Wilgus, JS. Emerging opportunities for applying COTS optoelectronics in avionics fibers-optic networks. Microprocess Microsyst 1999;22:439–51. https://doi.org/10.1016/s0141-93319800103-3.Search in Google Scholar
7. Marques, C, Leal-Júnior, A, Kumar, S. Multifunctional integration of optical fibers and nanomaterials for aircraft systems. Materials 2023;16:1433. https://doi.org/10.3390/ma16041433.Search in Google Scholar PubMed PubMed Central
8. Wang, D, Dong, M, Zhu, L, Lou, X, Yu, M, Zhang, Y, et al.. Application of fibers-optic strain sensing technology in high-precision load prediction of aircraft landing gear. Opt Laser Technol 2025;182:112183. https://doi.org/10.1016/j.optlastec.2024.112183.Search in Google Scholar
9. Collins, JH. The challenges facing U.S. navy aircraft electrical wiring systems. In: Proceedings of the 9th joint FAA/DoD/NASA aging aircraft conference. Atlanta, GA, USA: Federal Aviation Administration; 2006.Search in Google Scholar
10. Bancroft, JB, Lachapelle, G. Data fusion algorithms for multiple inertial measurement units. Sensors 2011;11:6771–98. https://doi.org/10.3390/s110706771.Search in Google Scholar PubMed PubMed Central
11. Ramaswami, R, Sivarajan, KN, Sasaki, GH. Optical networks: a practical perspective. San Francisco: Elsevier; 2010.Search in Google Scholar
12. Nicolas, MJ, Sullivan, RW, Richards, WL. Large scale applications using FBG sensors: determination of in-flight loads and shape of a composite aircraft wing. Aerospace 2016;3:18. https://doi.org/10.3390/aerospace3030018.Search in Google Scholar
13. Satish, A, Amiri, IS, Yupapin, P. Review of optical fibers-introduction and applications in fibers lasers. Results Phys 2018;10:743–50. https://doi.org/10.1016/j.rinp.2018.07.028.Search in Google Scholar
14. Bedoya, CA. Fly-by-Light advanced systems hardware (FLASH) program. In: Proc. SPIE 2467, Fly-by-Light: Technology Transfer. Scottsdale: SPIE – The International Society for Optics and Photonics; 1995.10.1117/12.210074Search in Google Scholar
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