Lightweight Reinforcement Learning with State Abstraction for Dynamic Spectrum Anti-Jamming Communications

Xin Liu; Ximing Wang; Yuhua Xu; Zhiyong Du; Yifan Xu; Hao Han

doi:10.1109/wcnc57260.2024.10571324

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Lightweight Reinforcement Learning with State Abstraction for Dynamic Spectrum Anti-Jamming Communications

Xin Liu Ximing Wang Yuhua Xu Zhiyong Du Yifan Xu Hao Han

Year: 2024 Pages: 1-6

DOI: 10.1109/wcnc57260.2024.10571324

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Keywords:

Reinforcement learning Jamming Abstraction Computer science State (computer science) Distributed computing Reinforcement Spectrum (functional analysis) Computer network Artificial intelligence Programming language Engineering Physics

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Wireless Signal Modulation Classification

Physical Sciences → Computer Science → Artificial Intelligence

Security in Wireless Sensor Networks

Physical Sciences → Computer Science → Computer Networks and Communications

Wireless Communication Security Techniques

Physical Sciences → Engineering → Electrical and Electronic Engineering

Lightweight Reinforcement Learning with State Abstraction for Dynamic Spectrum Anti-Jamming Communications

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