无人机网络的合作抗干扰和干扰缓解:局部利他博弈方法

Yueyue Su, Nan Qi, Zanqi Huang, Rugui Yao, Luliang Jia
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摘要

为了提高无人机辅助通信系统的抗干扰和干扰缓解能力,本文研究了面对内部相互干扰和外部恶意干扰时的信道选择优化问题。本文提出了一种基于局部利他主义的合作抗干扰和干扰缓解方法来优化无人机的信道选择。具体地说,建立了一个斯塔克尔伯格博弈模型,以确定无人机与干扰者之间的对抗关系。在局部利他博弈模型中,每个无人机都要考虑自身和其他无人机的效用。提出了一种分布式合作抗干扰和干扰缓解算法,以获得 Stackelberg 平衡。最后,分析了所提算法的收敛性和传输功率对系统损耗值的影响,与现有算法相比,所提算法的抗干扰性能提高了约 64%。
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Cooperative anti-jamming and interference mitigation for UAV networks: A local altruistic game approach
To improve the anti-jamming and interference mitigation 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 and interference mitigation 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 and interference mitigation 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.
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