The invention discloses a cooperative interference unmanned aerial vehicle auxiliary communication method and system for a disaster area wireless network, and the method comprises the steps: respectively defining unmanned aerial vehicles as relay unmanned aerial vehicles and cooperative interference unmanned aerial vehicles through introducing a role distribution mechanism of the unmanned aerial vehicles; the relay unmanned aerial vehicle is responsible for enhancing a communication link between the ground base station and the user; the cooperative interference unmanned aerial vehicle actively sends an interference signal to prevent illegal information acquisition of the eavesdropping unmanned aerial vehicle; the flight path of the unmanned aerial vehicle is optimized through precise modeling based on three-dimensional Cartesian coordinates and a design power distribution and flight path joint optimization method, and the unmanned aerial vehicle can reasonably adjust the position in a dynamic environment of a disaster area so as to improve channel conditions and further enhance communication reliability and safety; a Markov decision process is used for modeling a trajectory and power optimization problem of the unmanned aerial vehicle, and a multi-agent reinforcement learning algorithm is used for solving, so that the overall performance of the system and the communication security are improved, and an efficient and reliable solution is provided for emergency communication in a disaster area.
本发明公开了一种面向灾区无线网络的协作干扰无人机辅助通信方法及系统,通过引入无人机的角色分配机制,分别将无人机定义为中继无人机和协作干扰无人机;中继无人机负责增强地面基站与用户之间的通信链路;协作干扰无人机通过主动发送干扰信号阻止窃听无人机的非法信息获取;通过基于三维笛卡尔坐标的精确建模,设计功率分配与飞行轨迹联合优化方法优化无人机的飞行轨迹,无人机能够在灾区动态环境中合理调整位置,以改善信道条件,进一步增强通信可靠性和安全性;利用马尔可夫决策过程对无人机的轨迹和功率优化问题建模,并通过多智能体强化学习算法进行求解,实现系统整体性能与通信安全的提升,为灾区应急通信提供高效、可靠的解决方案。
Cooperative interference unmanned aerial vehicle auxiliary communication method and system facing disaster area wireless network
面向灾区无线网络的协作干扰无人机辅助通信方法及系统
2025-04-11
Patent
Electronic Resource
Chinese
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