Cooperative Anti-Jamming for UAV Networks: A Local Altruistic Game Approach

TL;DR

This paper introduces a cooperative anti-jamming strategy for UAV networks using a local altruistic game approach, modeling interactions with a Stackelberg game and proposing a distributed algorithm that significantly enhances anti-jamming performance.

Contribution

It presents a novel local altruistic game model combined with a Stackelberg framework for UAV anti-jamming, along with a distributed algorithm to optimize channel selection.

Findings

Anti-jamming performance improved by approximately 64% over existing algorithms.

The proposed algorithm converges reliably and effectively.

Transmission power impacts system loss, analyzed in the study.

Abstract

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.