Allocation of UAV-Assisted Cognitive Vehicle Network Resources Under Malicious Jamming: A Hierarchical Game Approach

UAV has the characteristics of easy deployment and flexible mobility, which can provide effective and reliable communication services for cognitive vehicle networking. However, the open communication environment makes UAV vulnerable to malicious interference attacks when providing services to vehicle users, and the communication resources provided to users are limited. The communication performance of the entire network will be greatly affected. In this paper, the anti-interference resource allocation of UAV-assisted cognitive vehicle network under malicious interference attack is studied. Due to the complexity of the problem, it cannot be solved directly. The objective optimization problem is decomposed into two sub-problems, and a two-layer game algorithm is proposed based on the characteristics of the problem. First, Stackelberg game is used to solve the position deployment problem of the UAV, achieve the optimal connection between the UAV and the vehicle, and resist the jamming attack. Second, channel allocation is carried out by using potential game, and the effect of co-channel interference is reduced. The simulation results show that the whole system can achieve higher performance than the existing algorithm. And can achieve a higher transmission rate in the jamming environment.