Reinforcement Learning Based Power Control for VANET Broadcast against Jamming

Broadcast of critical information such as emergency traffic messages in vehicular ad hoc networks (VANETs) has to address jamming with dynamic network topology. In this paper, we propose a deep reinforcement learning based cooperative power control scheme for VANET broadcast against reactive jammers who can observe the ongoing broadcast states. The neural episodic control based cooperative power control scheme uses the convolutional neural network and differentiate neural dictionary to accelerate the learning speed for the VANETs with dynamic topology. Simulation results have shown that the proposed scheme can effectively improve the packet delivery rate and reduce the energy consumption of the broadcast compared with other power control schemes.