Advances in Wireless Communication Technology in Oceanic Turbulence

A special issue of Journal of Marine Science and Engineering (ISSN 2077-1312). This special issue belongs to the section "Ocean Engineering".

Deadline for manuscript submissions: 30 March 2025 | Viewed by 1138

Special Issue Editor


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Guest Editor
Department of Physics, Dalian Maritime University, Dalian, China
Interests: beam transmission and imaging; target photoelectric detection and simulation technology; wireless laser communication technology

Special Issue Information

Dear Colleagues,

Underwater optical wireless communications (OWCs) are an innovative technology that can enable high-speed mobile transmission. The use of photonics underwater is restricted by the absorption, scattering and turbulence, and the intensity, polarization and phase of light can be destroyed by underwater environments. These effects can degrade the performances of underwater OWCs in an underwater medium. To overcome the negative effects of an underwater medium, various beams have been introduced into the studies of OWC, such as orbital angular moment (OAM), partially coherent beams and structured beams. Moreover, researchers are developing advanced techniques to enhance the performances of underwater OWC technologies, such as micro LEDs, VCSELs and photodetectors. This Special Issue will discuss the related technologies of underwater OWCs and cover a broad field of propagation, the scintillation index, BER and photonics technologies in underwater medium.

Dr. Dajun Liu
Guest Editor

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Keywords

  • underwater optical wireless communications
  • oceanic turbulence
  • partially coherent beam
  • vortex beam
  • structured light
  • OAM
  • BER
  • outage probability
  • beam propagation

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Published Papers (1 paper)

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Research

21 pages, 1385 KiB  
Article
Adaptive Control for Underwater Simultaneous Lightwave Information and Power Transfer: A Hierarchical Deep-Reinforcement Approach
by Huicheol Shin, Sangki Jeong, Seungjae Baek and Yujae Song
J. Mar. Sci. Eng. 2024, 12(9), 1647; https://doi.org/10.3390/jmse12091647 - 14 Sep 2024
Viewed by 530
Abstract
In this work, we consider a point-to-point underwater optical wireless communication scenario where an underwater sensor (US) transmits its sensing data to a remotely operated vehicle (ROV). Before the US transmits its data to the ROV, the ROV performs simultaneous lightwave information and [...] Read more.
In this work, we consider a point-to-point underwater optical wireless communication scenario where an underwater sensor (US) transmits its sensing data to a remotely operated vehicle (ROV). Before the US transmits its data to the ROV, the ROV performs simultaneous lightwave information and power transfer (SLIPT), delivering both control data and lightwave power to the US. Under the considered scenario, our objective is to maximize energy harvesting at the US while supporting predetermined communication performance between the two nodes. To achieve this objective, we develop a hierarchical deep Q-network (DQN)–deep deterministic policy gradient (DDPG)-based online algorithm. This algorithm involves two reinforcement learning agents: the ROV and US. The role of the ROV agent is to determine an optimal beam-divergence angle that maximizes the received optical signal power at the US while ensuring a seamless optical link. Meanwhile, the US agent, which is influenced by the decision of the ROV agent, is responsible for determining the time-switching and power-splitting ratios to maximize energy harvesting without compromising the required communication performance. Unlike existing studies that do not account for adaptive parameter control in underwater SLIPT, the proposed algorithm’s adaptive nature allows for the dynamic fine-tuning of optimization parameters in response to varying underwater environmental conditions and diverse user requirements. Full article
(This article belongs to the Special Issue Advances in Wireless Communication Technology in Oceanic Turbulence)
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