Challenges and Opportunities in Underwater Wireless Optical Communications
A special issue of Photonics (ISSN 2304-6732). This special issue belongs to the section "Optical Communication and Network".
Deadline for manuscript submissions: 10 November 2024 | Viewed by 2547
Special Issue Editors
Interests: underwater optical wireless communication; deep-sea observation technique; underwater communication
Special Issues, Collections and Topics in MDPI journals
Interests: machine learning; wireless communication; underwater optical communication and network; 5G/6G; ad hoc network
Special Issues, Collections and Topics in MDPI journals
Interests: optical fiber communications; underwater wireless optical communications
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
In recent years, we have witnessed increased interest in ocean exploration due to the foreseeable depletion of several oceanic resources and rapid global climate changes. Underwater wireless optical communication (UWOC), featuring large bandwidth, small delay and strong anti-interference ability, has proven its value in various applications, such as data and real-time video transmission, telemetry, disaster prevention, environmental surveillance, offshore exploration, and oceanographic studies, etc. However, underwater light attenuation, scattering and turbulence can cause spatial, temporal, polarization, and phase distortion in the emitted optical signals, which substantially restricts the transmission performances. To achieve long-reach, efficient, secure, and high-speed UOWC, researchers have focused on developing new communication mechanisms, novel transceivers, and new signal processing algorithms.
This Special Issue aims to provide a platform for the recent advances and innovations in UOWC. You are cordially invited to submit original research articles or perspective reviews, including the recent trends and developments regarding the current state-of-the-art UOWC. The scope of this Special Issue includes, but is not limited to, the following topics:
- New advances and challenges of UOWC;
- Emerging UOWC technologies;
- Coding, detection, and modulation schemes for UOWC;
- Non-orthogonal multiple access techniques for UOWC;
- Experiments, trials, and testbeds for UOWC;
- Fiber-wireless communication systems;
- Hybrid underwater optical wireless networks;
- Single-photon detector-based communication;
- Detector sensors, high-efficiency photodetectors for UOWC systems;
- Optical light sources for UOWC systems;
- Characterization of aquatic optical channels;
- Machine-learning-based algorithms for UOWC;
- UOWC positioning and localization;
- Scattering and oceanic turbulence mitigation techniques;
Oceanic turbulence modeling and simulation.
Prof. Dr. Jing Xu
Dr. Yanlong Li
Prof. Dr. Yang Qiu
Guest Editors
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Keywords
- underwater optical wireless communication
- underwater visible light communication
- optical communication
- optical communication network
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Planned Papers
The below list represents only planned manuscripts. Some of these manuscripts have not been received by the Editorial Office yet. Papers submitted to MDPI journals are subject to peer-review.
Title: 3D Localization of Mobile Underwater Nodes Using Airborne Visible Light Beams
Authors: Fow-Sen Choa; Jaeed Bin Saif
Affiliation: Computer Science and Electrical Engineering Department, University of Maryland
Abstract: Localizing underwater nodes when they cannot be tethered or float on the surface presents significant challenges, primarily due to node mobility and the absence of fixed anchors with known coordinates. This paper advocates a strategy for tackling such a challenge by using Visible Light Communication (VLC) from an airborne unit. A novel localization method is proposed where VLC transmissions are made towards the water surface, each is encoded with the GPS coordinates with the incident point of the corresponding light beam. Unlike prior work that assumes that the node has a pressure sensor, the proposed method utilizes the intensity of VLC signals to estimate the position of the underwater node in the absence of depth information. The idea is to map the light intensity at the underwater receiver for both normal and titled airborne light beams and devise a least square error optimization to estimate the 3D coordinates of the underwater node. Extensive simulations validate the effectiveness of this method and illustrate its performance across various parameters.