International Conference on Sensing, Measurement & Data Analytics in the era of Artificial Intelligence (ICSMD2023)

157 / 2023-10-02 21:38:52

Multi-Domain-Jointed Intelligent Anti-Jamming Decision Making Method for UAV Communication

anti-jamming,intelligent decision making,deep reinforcement learning (DRL),unmanned aerial vehicle (UAV)

Special Sessions > SS08 - IoT, AI Methods, and Applications in Health Monitoring and Diagnosis of Structure, Power, Medicine, etc

In order to address the issue of poor anti-jamming capability of Unmanned Aerial Vehicles (UAVs) under complex electromagnetic and interference environments, along with low information transmission rates and high energy consumption, one multi-domain-jointed intelligent anti-jamming decision making method based on Deep Reinforcement Learning (DRL) is proposed in this paper. The UAV is considered as an intelligent agent that sense the frequency spectrum of the channel at the beginning of each time slot. Accordingly, the perception results determine the transmitting channel, transmission duration, modulation and demodulation method, and transmission power. Simulation results show that this method has higher anti-jamming performance compared to traditional methods and single frequency-domain selection methods.