Modeling and performance evaluation of underwater wireless optical communication system in the presence of different sized air bubbles

In this article, a statistical channel model is proposed to characterize the Underwater Wireless Optical Communication (UWOC) system in the presence of different air bubbles population considering freshwater scenario. The irradiance fluctuations of the received optical signal are characterized by Gaussian Mixture Model based upon the experimental data. The behavior of the UWOC channel is modeled in the form of an analytical expression. The goodness of fit test shows excellent fit of analytical expression with the experimental measured data under given channel conditions. In order to test the impact of channel characteristics of the practical application, an image is transmitted through UWOC channel in the presence of imperfections due to presence of bubbles. The performance is evaluated in terms of Structure Similarity Index attributed to image quality. A comparative performance analysis of different filtration schemes is also performed in order to improve the performance deterioration due to imperfect channel conditions. A significant improvement of UWOC system using median filter is observed under given channel conditions compared to other cases.

[1]  Hao-Chung Kuo,et al.  450-nm GaN laser diode enables high-speed visible light communication with 9-Gbps QAM-OFDM. , 2015, Optics express.

[2]  Xiangjun Xin,et al.  Performance Comparison of PS Star-16QAM and PS Square-Shaped 16QAM (Square-16QAM) , 2017, IEEE Photonics Journal.

[3]  M. Sumathi,et al.  Physical implementation of underwater optical wireless system using spatial mode laser sources with optimization of spatial matching components , 2019, Results in Physics.

[4]  Herman Medwin,et al.  In situ acoustic measurements of bubble populations in coastal ocean waters , 1970 .

[5]  Zan Li,et al.  Underwater optical communication performance for laser beam propagation through weak oceanic turbulence. , 2015, Applied optics.

[6]  Sima Bahrani,et al.  Statistical distribution of intensity fluctuations for underwater wireless optical channels in the presence of air bubbles , 2016, 2016 Iran Workshop on Communication and Information Theory (IWCIT).

[7]  Mohamed-Slim Alouini,et al.  Efficient Weibull channel model for salinity induced turbulent underwater wireless optical communications , 2017, 2017 Opto-Electronics and Communications Conference (OECC) and Photonics Global Conference (PGC).

[8]  J. Apel,et al.  Principles of ocean physics , 1987 .

[9]  Yash Jagdishlal Gawdi Underwater Free Space Optics , 2006 .

[10]  Reginald J. Hill,et al.  Optical propagation in turbulent water , 1978 .

[11]  Yuhan Dong,et al.  Impulse Response Modeling for Underwater Wireless Optical Communication Links , 2014, IEEE Transactions on Communications.

[12]  Mohamed-Slim Alouini,et al.  Simple statistical channel model for weak temperature-induced turbulence in underwater wireless optical communication systems. , 2017, Optics letters.

[13]  V. Rigaud,et al.  Monte-Carlo-based channel characterization for underwater optical communication systems , 2013, IEEE/OSA Journal of Optical Communications and Networking.

[14]  Yan Zhang,et al.  Performance Investigation of Underwater Wireless Optical Communication System Using M -ary OAMSK Modulation Over Oceanic Turbulence , 2017, IEEE Photonics Journal.

[15]  Sermsak Jaruwatanadilok,et al.  Underwater Wireless Optical Communication Channel Modeling and Performance Evaluation using Vector Radiative Transfer Theory , 2008, IEEE Journal on Selected Areas in Communications.

[16]  Dario Pompili,et al.  Underwater acoustic sensor networks: research challenges , 2005, Ad Hoc Networks.

[17]  Zabih Ghassemlooy,et al.  Underwater Optical Wireless Communications With Optical Amplification and Spatial Diversity , 2016, IEEE Photonics Technology Letters.

[18]  Jay L. Devore,et al.  Probability and statistics for engineering and the sciences , 1982 .

[19]  S. Sudha,et al.  Performance studies of MIMO based DCO-OFDM in underwater wireless optical communication systems , 2020 .

[20]  F. Hanson,et al.  High bandwidth underwater optical communication. , 2008, Applied optics.

[21]  Eero P. Simoncelli,et al.  Image quality assessment: from error visibility to structural similarity , 2004, IEEE Transactions on Image Processing.

[22]  H. Gercekcioglu,et al.  Bit error rate of focused Gaussian beams in weak oceanic turbulence. , 2014, Journal of the Optical Society of America. A, Optics, image science, and vision.

[23]  Eero Hyvönen,et al.  Publishing and Using Cultural Heritage Linked Data on the SemanticWeb.In: A Publication in the Morgan & Claypool Publishers series, SYNTHESIS LECTURES ON SEMANTIC WEB: THEORY AND TECHNOLOGY , 2012 .

[24]  Yuhan Dong,et al.  A Survey of Underwater Optical Wireless Communications , 2017, IEEE Communications Surveys & Tutorials.

[25]  Anthony C. Boucouvalas,et al.  Performance of underwater optical wireless communication with multi-pulse pulse-position modulation receivers and spatial diversity , 2017 .

[26]  Philip Lacovara,et al.  High-Bandwidth Underwater Communications , 2008 .

[27]  L. Andrews,et al.  Laser Beam Scintillation with Applications , 2001 .

[28]  Jawad A. Salehi,et al.  Performance Studies of Underwater Wireless Optical Communication Systems With Spatial Diversity: MIMO Scheme , 2015, IEEE Transactions on Communications.

[29]  Jyoteesh Malhotra,et al.  Modeling and performance investigation of 4 $$\times$$ 20 Gbps underwater optical wireless communication link incorporating space division multiplexing of Hermite Gaussian modes , 2020, Optical and Quantum Electronics.

[30]  Jawad A. Salehi,et al.  Performance Analysis of Multi-Hop Underwater Wireless Optical Communication Systems , 2017, IEEE Photonics Technology Letters.

[31]  H. Haas,et al.  A 3-Gb/s Single-LED OFDM-Based Wireless VLC Link Using a Gallium Nitride $\mu{\rm LED}$ , 2014, IEEE Photonics Technology Letters.

[32]  Alan E. Willner,et al.  Underwater optical communications using orbital angular momentum-based spatial division multiplexing , 2018 .

[33]  R. C. Cooke,et al.  Bubble populations and spectra in coastal waters: A photographic approach , 1979 .