journal article·2024-03-15Open access

Extending UWOC System Applications through Photon Transmission Dynamics Study in Harbor Waters

Chang Chang, Xiaotian Han, Guangying Li, Peng Li, Wenchao Nie, Peixuan Liao, Cong Li, Wei Wang, Xiaoping Xie

Applied Sciences· Volume 14· Issue 6

Abstract

Underwater wireless optical communication (UWOC) in harbor waters can facilitate real-time monitoring underwater instruments for environmental monitoring, underwater inspection, and maintenance tasks. This study delves into the complex dynamics of UWOC in four distinct harbor waters. The research employs Monte Carlo method incorporated with Fournier–Forand scattering phase function for simulating photon transmission. Key parameters such as the Transmitted full divergence angle, received aperture, and Field of View (FOV) are meticulously evaluated for their impact on power loss and time delay spread. Notably, the normalized power loss and time delay spread are found to be more significantly affected by communication distance than water quality, and the traditional Beer–Lambert law is ineffective in harbor water. The power loss of Harbor II, III, and IV are found to be 14.00 dB, 31.59 dB, and 41.59 dB lower than that of Harbor I, and the time delay spread of Harbor II, III, and IV is 30.56%, 9.67%, and 0.49% times that of the Harbor I under certain conditions. In addition, increasing the received aperture and FOV, particularly over longer distance, make little contribution to reduce the power loss and mitigate the time delay spread. Based on the fixed transmitted full divergence angle, the most applicable received FOV range is 1–3.2 rad, and the most ideal received aperture is 0.15–0.4 m. Under these conditions, the variation in normalized power loss is less than 2 dB. Additionally, the time delay spread remains within the same order of magnitude with the attenuation length (AL) held constant. These conclusions hold substantial technical relevance for the engineering design of UWOC systems in harbor waters.
Source: crossref · Quality: baseline

Research context

OpenAlex topics: Underwater Vehicles and Communication Systems

SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.

Affiliations

State Key Laboratory of Transient Optics and Photonics, Xi’an Institute of Optics and Precision Mechanics, Chinese Academy of Sciences (CAS), Xi’an 710119, China

University of Chinese Academy of Sciences (CAS), Beijing 100049, China

Institute of Telecommunication and Navigation Satellites, CAST, Beijing 100094, China

Funding

National Key R&D Program

References (52)

Show source-provided references
1. A real-time, full-duplex system for underwater wireless optical communication: Hardware structure and optical link mode10.1109/ACCESS.2020.3001213 ↗
2. Analysis of underwater wireless optical communication system performance10.1364/AO.58.009808 ↗
3. Zeng, Z. (2015). A Survey of Underwater Wireless Optical Communication. [Master’s Thesis, University of British Columbia].
4. Urick, R.J. (1983). Principles of Underwater Sound, Peninsula.
5. Underwater wireless optical communication: Why, what, and how?10.3788/COL201917.100007 ↗
6. Recent progress in and perspectives of underwater wireless optical communication10.1016/j.pquantelec.2020.100274 ↗
7. Recent advances and future directions on underwater wireless communications10.1007/s11831-019-09354-8 ↗
8. Superposition coding for downlink underwater acoustic OFDM
9. High-speed underwater optical wireless communication using a blue GaN-based micro-LED10.1364/OE.25.001193 ↗
10. Kao, C.C., Lin, Y.S., Wu, G.D., and Huang, C.J. (2017). A comprehensive study on the internet of underwater things: Applications, challenges, and channel models. Sensors, 17.10.3390/s17071477 ↗
11. A review on practical considerations and solutions in underwater wireless optical communication10.1109/JLT.2019.2960131 ↗
12. Underwater wireless optical communication based on multi-pixel photon counter and OFDM modulation10.1016/j.optcom.2019.06.053 ↗
13. Underwater wireless video communication using blue light10.1109/JLT.2023.3273948 ↗
14. Time domain dispersion of underwater optical wireless communication10.3788/COL201109.030101 ↗
15. Centroid drift of laser beam propagation through a water surface with wave turbulence10.1364/AO.393653 ↗
16. Cox, W.C. (2012). Simulation, Modeling, and Design of Underwater Optical Communication Systems. [Ph.D. Thesis, North Carolina State University].
17. 20-meter underwater wireless optical communication link with 1.5 Gbps data rate10.1364/OE.24.025502 ↗
18. A theoretical study on the impact of particle scattering on the channel characteristics of underwater optical communication system10.1016/j.optcom.2017.06.030 ↗
19. Characterization of the beam-spread function for underwater wireless optical communications links10.1109/JOE.2008.2005341 ↗
20. Going deeper than microscopy: The optical imaging frontier in biology10.1038/nmeth.1483 ↗
21. Study on the backscattering disturbance in duplex underwater wireless optical communication systems10.1364/AO.57.008478 ↗
22. Qin, J., Fu, M., Sun MZhen, C., Ji, R., and Zheng, B. (2020, January 5–30). Simulation of beam characteristics in long-distance underwater optical communication. Proceedings of the Global Oceans of the Conference, Singapore–US Gulf Coast, Biloxi, MS, USA.10.1109/IEEECONF38699.2020.9389218 ↗
23. Impulse response modeling of underwater optical scattering channels for wireless communication
24. Bowen, A.D., Jakuba, M.V., Farr, N.E., Ware, J., Taylor, C., Gomez-Ibanez, D., Machado, C.R., and Pontbriand, C. (2013, January 23–27). An un-tethered ROV for routine access and intervention in the deep sea. Proceedings of the 2013 Oceans-San Diego, San Diego, CA, USA.
25. Farr, N.E., Ware, J.D., Pontbriand, C.T., and Tivey, M.A. (2013, January 23–27). Demonstration of wireless data harvesting from a subsea node using a “ship of opportunity”. Proceedings of the 2013 OCEANS-San Diego, San Diego, CA, USA.
26. Pontbriand, C., Farr, N., Hansen, J., Kinsey, J.C., Pelletier, L.-P., Ware, J., and Fourie, D. (2015, January 19–22). Wireless data harvesting using the AUV Sentry and WHOI optical modem. Proceedings of the OCEANS 2015-MTS/IEEE Washington, Washington, DC, USA.10.23919/OCEANS.2015.7401985 ↗
27. Biological and chemical composition of Boston Harbor, USA10.1016/0025-326X(89)90399-8 ↗
28. Bubble dynamics in 2D bubble column: Comparison between high-speed camera imaging analysis and 4-point optical probe10.1080/00986445.2013.803076 ↗
29. Channel capacity study of underwater wireless optical communications links based on Monte Carlo simulation10.1088/2040-8978/14/1/015403 ↗
30. Comprehensive analysis of time-domain hybrid PAM for data-rate and distance adaptive UWOC system10.1109/ACCESS.2021.3071467 ↗
31. Monte Carlo and discrete-ordinate simulations of irradiances in the coupled atmosphere-ocean system10.1364/AO.42.002609 ↗
32. Gabriel, C., Khalighi, M.A., Bourennane, S., Leon, P., and Rigaud, V. (2011, January 5–9). Channel modeling for underwater optical communication. Proceedings of the IEEE GLOBECOM Workshops of the Conference, Houston, TX, USA.10.1109/GLOCOMW.2011.6162571 ↗
33. Mobley, C.D. (1994). Light and Water: Radiative Transfer in Natural Waters, Academic Press.
34. Impulse response modeling for underwater wireless optical communication links10.1109/TCOMM.2013.120713.130199 ↗
35. Monte Carlo–based channel estimation and performance evaluation for UWOC links under geometric losses10.1002/dac.3527 ↗
36. Monte-Carlo-based optical wireless underwater channel modeling with oceanic turbulence10.1016/j.optcom.2020.126214 ↗
37. Improved method of Fournier-Forand marine phase function parameterization10.1364/OE.15.012763 ↗
38. Phase function effects on oceanic light fields10.1364/AO.41.001035 ↗
39. Monte-Carlo-based channel characterization for underwater optical communication systems10.1364/JOCN.5.000001 ↗
40. Deep learning aided signal detection for SPAD-based underwater optical wireless communications10.1109/ACCESS.2020.2967461 ↗
41. Over 10 attenuation length gigabits per second underwater wireless optical communication using a silicon photomultiplier (SiPM) based receiver10.1364/OE.397942 ↗
42. 35.88 attenuation lengths and 3.32 bits/photon underwater optical wireless communication based on photon-counting receiver with 256-PPM10.1364/OE.26.021685 ↗
43. Comparison of numerical models for computing underwater light fields10.1364/AO.32.007484 ↗
44. Sahu, S.K., and Shanmugam, P. (2017, January 19–22). A study on the effect of scattering properties of marine particles on underwater optical wireless communication channel characteristics. Proceedings of the OCEANS of the Conference, Aberdeen, UK.10.1109/OCEANSE.2017.8084720 ↗
45. Cochenour, B., Mullen, L., Laux, A., and Curran, T. (2006, January 18–21). Effects of multiple scattering on the implementation of an underwater wireless optical communications link. Proceedings of the OCEANS of the Conference, Boston, MA, USA.10.1109/OCEANS.2006.306863 ↗
46. Simulating channel losses in an underwater optical communication system10.1364/JOSAA.31.000920 ↗
47. Petzold, T.J. (1972). Volume Scattering Functions for Selected Ocean Waters, Scripps Institution of Oceanography, La Jolla Ca Visibility Lab.10.21236/AD0753474 ↗
48. One-parameter two-term Henyey-Greenstein phase function for light scattering in seawater10.1364/AO.41.001022 ↗
49. Fournier, G.R., and Forand, J.L. (1994, January 26). Analytic phase function for ocean water. Proceedings of the Ocean Optics XII, Bergen, Norway.
50. Underwater wireless optical communication channel modeling and performance evaluation using vector radiative transfer theory10.1109/JSAC.2008.081202 ↗
51. Ishimaru, A. (1978). Wave Propagation and Scattering in Random Media, Academic Press.
52. Qadar, R., Kasi, M.K., and Kakar, F.A. (2017, January 18–21). Monte Carlo based estimation and performance evaluation of temporal channel behavior of UWOC under multiple scattering. Proceedings of the Oceans 2017-Anchorage, Anchorage, AK, USA.