Reinforcement Learning based Space-Time-Frequency Domain Anti-jamming Transmission Scheme*
2023 9th International Conference on Computer and Communications (ICCC)(2023)
Abstract
This paper applies reinforcement learning algorithms to optimize the anti-jamming strategies of transmitter, combining Multiple-input multiple-output (MIMO) communication systems with frequency hopping anti-jamming mechanisms. By perceiving the jamming channel information, the transmitting power and channel selection strategies are modeled as a Markov decision process. A Space-Time-Frequency Domain (STFD) anti-jamming transmission method based on the Win or Learn Fast-Policy Hill-Climbing (WoLF-PHC) algorithm is proposed to intelligently evade channel attacks. Simulation results validate that the proposed STFD anti-jamming method based on the algorithm WoLF-PHC outperforms the anti-jamming capability based on the Q-learning algorithm.
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Key words
anti-jamming,reinforcement learning,frequency hopping,multiple-input multiple-output
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