Energy Efficient Relay in UAV Networks Against Jamming: A Reinforcement Learning Based Approach

Abstract

Unmanned aerial vehicle (UAV) networks are vulnerable to jamming attacks because of the high mobility, limited battery and scarce spectrum resources of UAVs. In this paper, we propose a reinforcement learning based UAV relay scheme to improve the anti-jamming capability and save energy consumption of the UAV network. Based on the real-time channel conditions and the historical relay experiences, the proposed scheme enables UAVs to improve the policy of relay power and strategies without knowing the UAV network and channel model. Simulation results show that the proposed UAV relay scheme reduces the bit error rate of the messages and reduces the energy consumption of the UAV network compared with the state-of-the-art benchmark.