Research on Adaptive Modulation Coding Technique in VDE-TER Multi-link Mode.

The VHF data exchange system is a new maritime communication system in the e-navigation strategy led by the International Maritime Organization. Among them, VDE-TER designs multiple service logical channels with different combinations of data modulation methods and channel coding techniques according to the differences in individual physical channel characteristics. To efficiently utilize other link configuration methods and improve the overall throughput performance of the system, we propose the conventional fixed-threshold-based adaptive modulation coding algorithm and the reinforcement learning-based Q-learning adaptive modulation coding algorithm for the VDE-TER multi-link service channel model, and we simulate the throughput performance of the VDE-TER communication system under different SNR estimation errors. The simulation results show that the fixed-threshold method performs well when the SNR estimation error is low and fails to achieve regular operation when the SNR estimation error reaches 1dB. In contrast, with the throughput feedback value as the channel SNR estimation error increases, the Q-learning algorithm can dynamically give the relevant signal-to-noise ratio threshold and automatically select the optimal communication link for data transmission, which is more suitable as a VDE -TER's adaptive modulation coding algorithm.