Anti-Jamming Power Control Game in Unmanned Aerial Vehicle Networks

In this paper, the anti-jamming issue in unmanned aerial vehicle (UAV) networks is analyzed in a static game and a dynamic game. We investigate the effect of wireless channel fading characteristics from a UAV to a ground station and flying cost on the performance of a closed-form Nash equilibrium (NE) in the static game. Besides, in a Stackelberg dynamic game, wherein the system model is hard to determine, we propose a Q- learning based anti-jamming scheme and evaluate its performance via exhaustive simulations, which can achieve relatively higher average utility and Signal to Interference plus Noise Ratio (SINR) than a benchmark method.