Adaptive Beam Steering and Divergence Control for Underwater Optical Wireless Communication Using Reinforcement Learning

Adaptive Beam Steering and Divergence Control for Underwater Optical Wireless Communication Using Reinforcement Learning

Underwater optical wireless communication (UOWC) is a promising technology enabling high-speed, low-latency communication for beyond 5G/6G systems. However, UOWC faces significant challenges due to the complex nature of the underwater channel, including absorption, scattering, turbulence, and dynami...

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Bibliographic Details
Main Authors: Takumi Ishida, Chedlia Ben Naila, Hiraku Okada
Format: Article
Language:English
Published: IEEE 2025-01-01
Series:IEEE Photonics Journal
Subjects:
Underwater optical wireless communication (UOWC)
neural network
beam adaptation
long short term memory (LSTM)
deep Q-network (DQN)
Online Access:https://ieeexplore.ieee.org/document/11003393/
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