The study on Anti-Jamming Power Control Strategy based on Q-learning
Shuqin Geng, Pengkun Li, Xuzhou Yin, Hang Lu, Ronghao Zhu, Wenhua Cao, Jingyao Nie · 2022 7th International Conference on Intelligent Computing and Signal Processing (ICSP) · 2022
This letter studies the problem of anti-jamming power control in wireless communication systems where users do not know the game model. When the transmission loss and other parameters are unknown, we use the Q-learning algorithm to build a wireless communication system with anti-jamming power control game model. The user utility function and SINR under channel gain are simulated and compared, which proves the better anti-jamming performance of the algorithm.