Anti-jamming strategy based on game theory in single-channel UAV communication network

This paper investigates the power control prob-lem in unmanned aerial vehicle (UAV) communication network anti-jamming system. To obtain the optimal power of UAVs, Stackelberg game and Nash game, two different anti-jamming models, are proposed to achieve the best performance. In the Stackelberg game model, as the leader, the smart jammer who has the privilege to take actions ahead of the user, while the user acts as the follower after knowing the strategy of the smart jammer and adjusts transmission power adaptively to maximize the utility function. We design a simulated annealing algorithm to obtain Stackelberg equilibrium (SE). In the Nash game model, two players would take actions simultaneously, and the closed-form expression of Nash equilibrium (NE) is derived. Finally, we verify the convergence of proposed algorithm, compare the two game models and analyze the influence of observation error and transmission distance on the user UAV's and jammer UAV's utility function through detailed simulations.