Hybrid Turbulence Phase Screen Model Based on Position and Number Optimization of UOWC System

Underwater optical wireless communication (UOWC) is the primary technology that provides high-speed and low-latency area-intensive data interaction for the Internet of Underwater Things. The turbulence effect seriously affects the optical signal transmission, and establishing a comprehensive turbulence channel model is essential to improve the antiturbulence capability of the UOWC system. In this paper, a hybrid phase screen model based on the oceanic turbulence optical power spectrum inversion and the extended Zernike polynomials is proposed, which has sufficient frequency components and can better characterize the turbulence effect caused by the underwater changes in temperature and salinity. By optimizing the number and position of the hybrid turbulence phase screen, the root mean square error of the probability density function of the received light intensity between the simulation and the experimental measurement is only 1.8468 at a turbulence intensity of 0.1538. Finally, we demonstrate a hybrid quadrature amplitude modulation multi-pulse pulse-position modulation (QAM-MPPM) technique to improve the antiturbulence performance of the UOWC system. The results show that under the same conditions, the UOWC system with a hybrid QAM-MPPM technique outperforms those with single QAM and MPPM modulation by 3 and 1 dB, respectively. The hybrid modulation technique also exhibits a better bit error rate and average outage probability performance under different turbulence intensities.

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Publication Details

Journal
IEEE Internet of Things Journal
Published
2025-05-02
DOI
https://doi.org/10.1109/jiot.2025.3566463
Citations
1
Primary Topic
Optical Systems and Laser Technology
Type
article
Field-Weighted Citation Impact
0.73

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article

Hybrid Turbulence Phase Screen Model Based on Position and Number Optimization of UOWC System

Hongxi Yin, Anliang Liu, Haobo Zhao
1 citations
IEEE Internet of Things Journal
Optical Systems and Laser Technology
0.73
article

Hybrid Turbulence Phase Screen Model Based on Position and Number Optimization of UOWC System

Hongxi Yin, Anliang Liu, Haobo Zhao
article en
1 citations

Abstract

Underwater optical wireless communication (UOWC) is the primary technology that provides high-speed and low-latency area-intensive data interaction for the Internet of Underwater Things. The turbulence effect seriously affects the optical signal transmission, and establishing a comprehensive turbulence channel model is essential to improve the antiturbulence capability of the UOWC system. In this paper, a hybrid phase screen model based on the oceanic turbulence optical power spectrum inversion and the extended Zernike polynomials is proposed, which has sufficient frequency components and can better characterize the turbulence effect caused by the underwater changes in temperature and salinity. By optimizing the number and position of the hybrid turbulence phase screen, the root mean square error of the probability density function of the received light intensity between the simulation and the experimental measurement is only 1.8468 at a turbulence intensity of 0.1538. Finally, we demonstrate a hybrid quadrature amplitude modulation multi-pulse pulse-position modulation (QAM-MPPM) technique to improve the antiturbulence performance of the UOWC system. The results show that under the same conditions, the UOWC system with a hybrid QAM-MPPM technique outperforms those with single QAM and MPPM modulation by 3 and 1 dB, respectively. The hybrid modulation technique also exhibits a better bit error rate and average outage probability performance under different turbulence intensities.

IEEE Internet of Things JournalVol. 12(14)
Dalian University of Technology (CN), Dalian Maritime University (CN)
National Natural Science Foundation of China, Fundamental Research Funds for the Central Universities
Affordable and clean energy
Openalex Percentile: Top 29%
Optical Systems and Laser Technology
0.73
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Hybrid Turbulence Phase Screen Model Based on Position and Number Optimization of UOWC System — Hongxi Yin, Anliang Liu, et al. · IEEE Internet of Things Journal (2025) | TGRS Research Map | TGRS