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The existence of jammer and the limited buffer space bring major challenge to data transmission efficiency in high-frequency (HF) commuication. The data transmission problem of how to select transmission strategy with multi-channel and different buffer states to maximize the system throughput is studied in this paper. We model the data transmission problem as a Makov decision process (MDP). Then, a modified Q-learning with additional value is proposed to help transmitter to learn the appropriate strategy and improve the system throughput. The simulation results show the proposed Q-learning algorithm can converge to the optimal Q value. Simultaneously, the QL algorithm compared with the sensing algorithm has better system throughput and less packet loss.

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