Joint Resource Allocation for Time-Varying Underwater Acoustic Communication System: A Self-Reflection Adversarial Bandit Approach-Reference-Cited by-同舟云学术

Joint Resource Allocation for Time-Varying Underwater Acoustic Communication System: A Self-Reflection Adversarial Bandit Approach

Published:2024-04 Issue:4 Volume:54 Page:2227-2240
ISSN:2168-2216
Container-title:IEEE Transactions on Systems, Man, and Cybernetics: Systems
language:
Short-container-title:IEEE Trans. Syst. Man Cybern, Syst.

Author:

Han Song¹^ORCID,Zhao Huan¹^ORCID,Li Xinbin¹^ORCID,Yu Junzhi²^ORCID,Zhao Haihong¹^ORCID,Liu Zhixin¹^ORCID

Affiliation:

1. Key Laboratory of Industrial Computer Control Engineering, Key Laboratory of Intelligent Rehabilitation and Neuromodulation of Hebei Province, Yanshan University, Qinhuangdao, China

2. Department of Advanced Manufacturing and Robotics, State Key Laboratory for Turbulence and Complex Systems, College of Engineering, Peking University, Beijing, China

Funder

National Natural Science Foundation of China

Hebei Natural Science Foundation

Hebei Innovation Capability Improvement Plan Project

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Link

http://xplorestaging.ieee.org/ielx7/6221021/10474542/10380624.pdf?arnumber=10380624

Reference36 articles.

1. Self-Adaptive Resource Allocation in Underwater Acoustic Interference Channel: A Reinforcement Learning Approach

2. Ecologically Friendly Full-Duplex Data Transmission Scheme for Underwater Acoustic Sensor Networks

3. Optimal Power Allocation for Full-Duplex Underwater Relay Networks With Energy Harvesting: A Reinforcement Learning Approach

4. Anypath Routing Protocol Design via Q-Learning for Underwater Sensor Networks

5. Artificial fish swarm based power allocation algorithm for MIMO‐OFDM relay underwater acoustic communication