Performance Analysis and Design Considerations of the Shallow Underwater Optical Wireless Communication System with Solar Noises Utilizing a Photon Tracing-Based Simulation Platform

The performance of the underwater optical wireless communication (UOWC) system is highly affected by seawater´s inherent optical properties and the solar radiation from sunlight, especially for a shallow environment. The multipath effect and degradations in signal-to-noise ratio (SNR) due to absorption, scattering, and ambient noises can significantly limit the viable communication range, which poses key challenges to its large-scale commercial applications. To this end, this paper proposes a unified model for underwater channel characterization and system performance analysis in the presence of solar noises utilizing a photon tracing algorithm. Besides, we developed a generic simulation platform with configurable parameters and self-defined scenarios via MATLAB. Based on this platform, a comprehensive investigation of underwater channel impairments was conducted including temporal and spatial dispersion, illumination distribution pattern, and statistical attenuation with various oceanic types. The impact of ambient noise at different operation depths on the bit error rate (BER) performance of the shallow UOWC system was evaluated under typical specifications. Simulation results revealed that the multipath dispersion is tied closely to the multiple scattering phenomenon. The delay spread and ambient noise effect can be mitigated by considering a narrow field of view (FOV) and it also enables the system to exhibit optimal performance on combining with a wide aperture.

[1]  S. Duntley Light in the Sea , 1963 .

[2]  C. Mobley Light and Water: Radiative Transfer in Natural Waters , 1994 .

[3]  Robert A. Leathers,et al.  Monte Carlo Radiative Transfer Simulations for Ocean Optics: A Practical Guide , 2004 .

[4]  J. H. Smart,et al.  Underwater optical communications systems part 1: variability of water optical parameters , 2005, MILCOM 2005 - 2005 IEEE Military Communications Conference.

[5]  C. Davis,et al.  Diffuse attenuation coefficient of downwelling irradiance: An evaluation of remote sensing methods , 2005 .

[6]  B.M. Cochenour,et al.  Characterization of the Beam-Spread Function for Underwater Wireless Optical Communications Links , 2008, IEEE Journal of Oceanic Engineering.

[7]  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.

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

[9]  Minglun Zhang,et al.  Mathematic models for a ray tracing method and its applications in wireless optical communications. , 2010, Optics express.

[10]  M. Khalighi,et al.  Impact of different noise sources on the performance of PIN- and APD-based FSO receivers , 2011, Proceedings of the 11th International Conference on Telecommunications.

[11]  Zabih Ghassemlooy,et al.  Optical Wireless Communications: System and Channel Modelling with MATLAB® , 2012 .

[12]  Linda Mullen,et al.  Temporal Response of the Underwater Optical Channel for High-Bandwidth Wireless Laser Communications , 2013, IEEE Journal of Oceanic Engineering.

[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]  Murat Uysal,et al.  Survey on Free Space Optical Communication: A Communication Theory Perspective , 2014, IEEE Communications Surveys & Tutorials.

[15]  Zhengyuan Xu,et al.  Wavelength dependent channel characterization for underwater optical wireless communications , 2014, 2014 IEEE International Conference on Signal Processing, Communications and Computing (ICSPCC).

[16]  B. Nababan,et al.  DOWNWELLING DIFFUSE ATTENUATION COEFFICIENTS FROM IN SITU MEASUREMENTS OF DIFFERENT WATER TYPES , 2014 .

[17]  John Muth,et al.  Simulating channel losses in an underwater optical communication system. , 2014, Journal of the Optical Society of America. A, Optics, image science, and vision.

[18]  Zhengyuan Xu,et al.  Non-line-of-sight scattering channel modeling for underwater optical wireless communication , 2015, 2015 IEEE International Conference on Cyber Technology in Automation, Control, and Intelligent Systems (CYBER).

[19]  Mohamed-Slim Alouini,et al.  On the Use of a Direct Radiative Transfer Equation Solver for Path Loss Calculation in Underwater Optical Wireless Channels , 2015, IEEE Wireless Communications Letters.

[20]  Limei Xu,et al.  Monte-Carlo-Based Impulse Response Modeling for Underwater Wireless Optical Communication , 2017 .

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

[22]  Shaoqian Li,et al.  6G Wireless Communications: Vision and Potential Techniques , 2019, IEEE Network.

[23]  Jianlei Zhang,et al.  Analysis of underwater wireless optical communication system performance. , 2019, Applied optics.

[24]  Yan Gao,et al.  Underwater optical wireless sensor networks using resource allocation , 2019, Telecommun. Syst..

[25]  Minglun Zhang,et al.  Implementation of High Gain Optical Receiver with the Large Photosensitive Area in Visible Light Communication , 2019, 2019 Asia Communications and Photonics Conference (ACP).

[26]  Nasir Saeed,et al.  Effect of Link Misalignment in the Optical-Internet of Underwater Things , 2020 .

[27]  Yang Weng,et al.  A Review on Practical Considerations and Solutions in Underwater Wireless Optical Communication , 2020, Journal of Lightwave Technology.

[28]  Antonio García-Zambrana,et al.  Impulse Response Modeling of Underwater Optical Scattering Channels for Wireless Communication , 2020, IEEE Photonics Journal.

[29]  Meiyan Ju,et al.  Effect of Receiver’s Tilted Angle on the Capacity for Underwater Wireless Optical Communication , 2020 .

[30]  Yong Up Lee,et al.  Secure Visible Light Communication Technique Based on Asymmetric Data Encryption for 6G Communication Service , 2020, Electronics.

[31]  Yongjin Wang,et al.  A Real-Time, Full-Duplex System for Underwater Wireless Optical Communication: Hardware Structure and Optical Link Model , 2020, IEEE Access.