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

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

This paper studies adaptive transmission in an underwater acoustic (UWA) point-to-point communication system that operates on an epoch-by-epoch basis for a long term. A fixed amount of information bits periodically arrive at the transmitter data queue, and wait for transmission via a number of packe...

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Bibliographic Details
Main Authors: Chaofeng Wang, Zhaohui Wang, Wensheng Sun, Daniel R. Fuhrmann
Format: Article
Language:English
Published: IEEE 2018-01-01
Series:IEEE Access
Subjects:
Adaptive transmission
underwater acoustic channels
energy efficiency
model-based reinforcement learning
Online Access:https://ieeexplore.ieee.org/document/8214092/

Internet

https://ieeexplore.ieee.org/document/8214092/

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