Anti-Jamming Communications Using Spectrum Waterfall: A Deep Reinforcement Learning Approach

• Published in: IEEE communications letters Vol. 22; no. 5; pp. 998 - 1001
• Main Authors: Xin Liu, Yuhua Xu, Luliang Jia, Qihui Wu, Anpalagan, Alagan
• Format: Journal Article
• Language: English
• Published: IEEE 01.05.2018
• Subjects: Aerodynamics; Anti-jamming; Convolutional neural networks; deep Q-network; deep reinforcement learning; Heuristic algorithms; Jamming; Machine learning; Signal to noise ratio; Time-frequency analysis

This letter investigates the problem of anti-jamming communications in a dynamic and intelligent jamming environment through machine learning. Different from existing studies which need to know (estimate) the jamming patterns and parameters, we use the temporal and spectral information, i.e., the sp...