A Multi-Parameter Intelligent Communication Anti-Jamming Method Based on Three-Dimensional Q-Learning
2022 IEEE 2nd International Conference on Computer Communication and Artificial Intelligence (CCAI)(2022)
摘要
Aiming at the deficiency of the traditional intelligent communication anti-jamming algorithms, a multi-parameter intelligent anti-jamming method for wireless communication based on three-dimensional Q-learning (3DQL) is proposed. In the case of multi-channel random jamming, the wireless communication system guides the transmitter to choose the optimal channel and power for communication or keep silent in each timeslot by learning the random variation law of channel, timeslot and power of jamming, achieving the anti-jamming effect of optimal decision accuracy and timeslot utilization. Simulation results show that the 3DQL algorithm is better than the traditional two-dimensional Q-learning (2DQL) algorithm in decision accuracy and slot utilization.
更多查看译文
关键词
three-dimensional Q-learning,multi-parameters,intelligent anti-jamming,random jamming
AI 理解论文
溯源树
样例
生成溯源树,研究论文发展脉络
Chat Paper
正在生成论文摘要