On the Performance of Deep Reinforcement Learning-Based Anti-Jamming Method Confronting Intelligent Jammer

On the Performance of Deep Reinforcement Learning-Based Anti-Jamming Method Confronting Intelligent Jammer

With the development of access technologies and artificial intelligence, a deep reinforcement learning (DRL) algorithm is proposed into channel accessing and anti-jamming. Assuming the jamming modes are sweeping, comb, dynamic and statistic, the DRL-based method through training can almost perfectly...

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Bibliographic Details
Main Authors: Yangyang Li, Ximing Wang, Dianxiong Liu, Qiuju Guo, Xin Liu, Jie Zhang, Yitao Xu
Format: Article
Language:English
Published: MDPI AG 2019-03-01
Series:Applied Sciences
Subjects:
deep reinforcement learning
Q-learning
intelligent anti-jamming
intelligent jamming
Online Access:https://www.mdpi.com/2076-3417/9/7/1361

Internet

https://www.mdpi.com/2076-3417/9/7/1361

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