Power and Frequency Selection optimization in Anti-Jamming Communication: A Deep Reinforcement Learning Approach-Reference-Cited by-同舟云学术

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Power and Frequency Selection optimization in Anti-Jamming Communication: A Deep Reinforcement Learning Approach

Published:2019-12 Issue: Volume: Page:
ISSN:
Container-title:2019 IEEE 5th International Conference on Computer and Communications (ICCC)
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Author:

Li Yangyang,Xu Yitao,Wang Ximing,Li Wen,Bai Wei

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9048180/9064028/09064174.pdf?arnumber=9064174

Cited by 6 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. IRS-assisted anti-jamming communication based on action space smooth Q-learning;Proceedings of the 2023 5th International Electronics Communication Conference;2023-07-21

2. Data-Driven Co-Channel Signal Interference Elimination Algorithm for Terrestrial-Satellite Communications and Broadcasting;IEEE Transactions on Broadcasting;2023

3. A Model-Free Cognitive Anti-Jamming Strategy Using Adversarial Learning Algorithm;Cybernetics and Information Technologies;2022-11-01

4. Wireless Communications Interference Avoidance Based on Fast Reinforcement Learning;J ELECTRON INF TECHN;2022

5. Reinforcement Learning-Based Dynamic Anti-Jamming Power Control in UAV Networks: An Effective Jamming Signal Strength Based Approach;IEEE Communications Letters;2022-10

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