Reinforcement Learning-Based Adaptive Transmission in Time-Varying Underwater Acoustic Channels-Reference-Cited by-同舟云学术

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Reinforcement Learning-Based Adaptive Transmission in Time-Varying Underwater Acoustic Channels

Published:2018 Issue: Volume:6 Page:2541-2558
ISSN:2169-3536
Container-title:IEEE Access
language:
Short-container-title:IEEE Access

Author:

Wang Chaofeng,Wang Zhaohui^ORCID,Sun Wensheng,Fuhrmann Daniel R.

Funder

NSF

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

General Engineering,General Materials Science,General Computer Science

Link

http://ieeexplore.ieee.org/ielaam/6287639/8274985/8214092-aam.pdf

Cited by 33 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Improving Insertion Loss of Sonic Crystal Active Noise Barrier by Reinforcement Learning and Finite Difference Time Domain Simulations;IEEE Access;2024

2. Energy-efficient underwater acoustic communication based on Dyna-Q with an adaptive action space;Physical Communication;2023-12

3. Adaptive Modulation and Coding for Underwater Acoustic Communication Based on Neural Networks;2023 IEEE International Conference on Signal Processing, Communications and Computing (ICSPCC);2023-11-14

4. Robust equalization for single-carrier underwater acoustic communication in sparse impulsive interference environment;Applied Acoustics;2023-11

5. Model-Based Thompson Sampling for Frequency and Rate Selection in Underwater Acoustic Communications;IEEE Transactions on Wireless Communications;2023-10

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