Impact of Artificial Seawater and Turbulence Factors on Underwater Optical Wireless Communication

Afifah, Shofuro; Marlina, Lina; Chen, Chia Chun; Liu, Yaling; Liaw, Shien‐Kuei; Yeh, Chien‐Hung

doi:10.1109/wocc53213.2021.9603002

Cited by 4 publications

(4 citation statements)

References 7 publications

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“…The impact of underwater optical turbulence on laser propagation can lead to data bit errors when transmitting data using free-space optical communications systems underwater. 8 Bit errors can lead to important pieces of information being left out when data is transmitted using free-space optical communications systems. While studying the impact of optical turbulence on underwater free-space optical communications systems, it was found that the color of the laser being used for the freespace optical communication system affects the performance of the free-space optical communication system.…”

Section: Literature Reviewmentioning

confidence: 99%

“…While studying the impact of optical turbulence on underwater free-space optical communications systems, it was found that the color of the laser being used for the freespace optical communication system affects the performance of the free-space optical communication system. 8 It was found that a green laser worked better in salt water and that a blue laser worked better in freshwater. 8 Knowing that the performance of a free space optical communications system can be affected by the color of the laser utilized for the free space optical communications system allows for the ideal colored laser to be chosen for each situation.…”

Section: Literature Reviewmentioning

confidence: 99%

“…8 It was found that a green laser worked better in salt water and that a blue laser worked better in freshwater. 8 Knowing that the performance of a free space optical communications system can be affected by the color of the laser utilized for the free space optical communications system allows for the ideal colored laser to be chosen for each situation.…”

Section: Literature Reviewmentioning

confidence: 99%

See 2 more Smart Citations

Characterization of underwater optical turbulence caused by natural convection generated by Rayleigh-Bénard using machine learning

Thomas,

O'Malley,

Avramov-Zamurovic

et al. 2023

Ocean Sensing and Monitoring XV

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Characterization of the optical turbulence of complex media is important to designing resilient free-space optical communication systems. Previous studies have used machine learning algorithms to characterize optical turbulence in the atmospheric environment, but we propose to extend this concept to the underwater medium. Our experimental design propagates a Gaussian beam ~1.25 meters through a Rayleigh-Bénard (RB) turbulence tank, which creates realistic optical turbulence that is fully controllable and repeatable. The intensity and phase distortions of the Gaussian beam after propagation will be collected and used to train a convolutional neural network (CNN), for the purpose of the underwater optical turbulence characterization. The CNN will be trained to classify turbulence levels based on both intensity and phase measurements in varied levels of optical turbulence.

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Section: Literature Reviewmentioning

confidence: 99%

Section: Literature Reviewmentioning

confidence: 99%

Section: Literature Reviewmentioning

confidence: 99%

See 1 more Smart Citation

Characterization of underwater optical turbulence caused by natural convection generated by Rayleigh-Bénard using machine learning

Thomas,

O'Malley,

Avramov-Zamurovic

et al. 2023

Ocean Sensing and Monitoring XV

View full text Add to dashboard Cite

show abstract

“…Additionally, since seawater is a kind of complex and integrated system the optical signal is not only suffering from the attenuation caused by scattering and absorption, but also the non-uniformity factors such as light intensity scintillation caused by oceanic turbulence. The random perturbations caused by such nonuniformity factors on light propagation further aggravate the self-interference within the NOMA paired user group and lead to an increase in the bit error rate (BER) of NOMA users [17][18][19]. To our best knowledge, there have been very few relevant researches on suppressing the self-interference and reducing system BER for the UWOC-NOMA system.…”

Section: Introductionmentioning

confidence: 99%

Solution for Self-Interference of NOMA-Based Wireless Optical Communication System in Underwater Turbulence Environment

et al. 2023

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Non-orthogonal multiple access (NOMA) is a multiple access technology of great potential and it has superior performance in underwater wireless optical communications (UWOC). In this paper, we investigate the self-interference problem caused by the superimposed transmission of NOMA-based wireless optical communication system in the underwater turbulent environment, and then propose an alternating composite phase shift (ACPS) coding scheme based on constellation optimization, which can effectively eliminate the decoding error caused by the self-interference within the NOMA paired group. To enhance the optimization efficiency of ACPS in the medium-and strong-turbulence environments, we design a goldensection-approach-based power allocation (GSPA) algorithm that minimizes the bit error rate (BER). The simulation results show that the BER of the low-power user within the NOMA paired group can be reduced by up to 3 orders of magnitude in the ACPS-based UWOC-NOMA system compared to the conventional UWOC-NOMA system. In addition, the proposed GSPA algorithm fully takes into account the light-intensity scintillation caused by the ocean turbulence, which not only significantly reduces the average BER of the NOMA system, but also accelerates the convergence rate.INDEX TERMS Non-orthogonal multiple access, underwater wireless optical communications, alternating composite phase shift, golden-section-approach-based power allocation, bit error rate

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Effects of Seawater Pollution on Wireless Signals: A Review

Elmutasim,

Mohamed,

Bilal

et al. 2023

2023 IEEE XXVIII International Seminar/Workshop on Direct and Inverse Problems of Electromagnetic and Acoustic Wave Theory (DIP

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Impact of Artificial Seawater and Turbulence Factors on Underwater Optical Wireless Communication

Cited by 4 publications

References 7 publications

Characterization of underwater optical turbulence caused by natural convection generated by Rayleigh-Bénard using machine learning

Characterization of underwater optical turbulence caused by natural convection generated by Rayleigh-Bénard using machine learning

Solution for Self-Interference of NOMA-Based Wireless Optical Communication System in Underwater Turbulence Environment

Effects of Seawater Pollution on Wireless Signals: A Review

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