To improve the anti-jamming ability of the UAV-aided communication systems, this paper investigates the channel selection optimization problem in face of both internal mutual interference and external malicious jamming. A cooperative anti-jamming method based on local altruistic is proposed to optimize UAVs' channel selection. Specifically, a Stackelberg game is modeled to formulate the confrontation relationship between UAVs and the jammer. A local altruistic game is modeled with each UAV considering the utilities of both itself and other UAVs. A distributed cooperative anti-jamming algorithm is proposed to obtain the Stackelberg equilibrium. Finally, the convergence of the proposed algorithm and the impact of the transmission power on the system loss value are analyzed, and the anti-jamming performance of the proposed algorithm can be improved by around 64% compared with the existing algorithms.
翻译:为提高无人驾驶飞行器辅助通信系统的防干扰能力,本文件调查了面对内部相互干扰和外部恶意干扰的频道选择优化问题。建议采用基于当地利他主义的合作反干扰方法优化无人驾驶飞行器的频道选择。具体地说,为构建无人驾驶飞行器和干扰器之间的对抗关系,模拟了斯塔克尔伯格游戏。考虑到自身和其他无人驾驶飞行器的功用,与每个无人驾驶飞行器模拟了一个当地利他主义游戏。建议采用分布式合作反干扰算法以取得斯塔克尔伯格平衡。最后,分析了拟议算法的趋同和传输能力对系统损失价值的影响,与现有算法相比,拟议的算法的反干扰性能可以提高约64%。