2023
DOI: 10.1109/tvt.2022.3200885
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Improving the Performance of Underwater Wireless Optical Communications by Pointing Adjustable Beam Arrays

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Cited by 6 publications
(1 citation statement)
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“…They compared the performance of Q-learning and State-Action-Reward-State-Action (SARSA) algorithms, with SARSA converging more quickly. Additionally, Cui et al presented work on pointing adjustable beam arrays using reflectors and lasers to enhance performance under varied water conditions, resulting in reduced path loss and improved adaptability to attenuation and turbulence [ 9 ]. As an alternative approach, Yildiz et al have explored the deployment of underwater reflectors to improve the gain by the inclusion of non-line-of-sight (NLOS) paths, yielding promising outcomes [ 10 ].…”
Section: Literature Reviewmentioning
confidence: 99%
“…They compared the performance of Q-learning and State-Action-Reward-State-Action (SARSA) algorithms, with SARSA converging more quickly. Additionally, Cui et al presented work on pointing adjustable beam arrays using reflectors and lasers to enhance performance under varied water conditions, resulting in reduced path loss and improved adaptability to attenuation and turbulence [ 9 ]. As an alternative approach, Yildiz et al have explored the deployment of underwater reflectors to improve the gain by the inclusion of non-line-of-sight (NLOS) paths, yielding promising outcomes [ 10 ].…”
Section: Literature Reviewmentioning
confidence: 99%