电子学报2025，Vol.53Issue(11)：4104-4115,12.DOI:10.12263/DZXB.20240937
基于用户公平性的IRS辅助无人机隐蔽通信系统资源分配算法
Resource Allocation of IRS-Assisted UAV Covert Communication Systems with User Fairness Consideration
摘要
Abstract
Unmanned aerial vehicle(UAV)and intelligent reflecting surface(IRS)are two key technologies in the sixth-generation mobile communication system.With their high mobility and intelligent beamforming capabilities,they of-fer a new paradigm for building highly reliable and secure next-generation wireless networks.However,the broadcast na-ture of wireless channels poses severe challenges to the secure communication of UAV.Particularly in multi-user scenarios,how to ensure secure transmission while maintaining service fairness among multiple legitimate users is a complex and ur-gent problem to be solved.This paper studies an IRS-assisted multi-antenna UAV covert communication system,aiming to address the issue of unbalanced resource allocation among multiple users.Under the premise of considering user fairness,this paper takes maximizing the minimum average covert rate of the worst legitimate user as the optimization objective,en-suring that all users can obtain an acceptable minimum quality of service.This problem is solved by jointly optimizing user scheduling,the three-dimensional flight trajectory of the UAV,multi-antenna transmit beamforming,and the phase shift ma-trix of the IRS.Due to the highly non-convex and tightly coupled nature of the optimization problem,it is difficult to solve directly by convex optimization method.Therefore,this paper designs an efficient iterative algorithm based on block coordi-nate descent,decoupling the original problem into four relatively easy-to-handle sub-problems.According to the characteris-tics of each sub-problem,methods such as successive convex approximation,quadratic transformation,scaling,and variable substitution are adopted to transform them into convex optimization problems,and then solved efficiently through an alter-nating optimization mechanism.Simulation results show that the proposed algorithm has fast convergence rate.Compared with the benchmark schemes without IRS assistance and without trajectory optimization,the proposed joint optimization al-gorithm can significantly improve the minimum average covert rate of system users.关键词
无人机通信/智能反射面/隐蔽通信/资源分配/轨迹优化/凸优化Key words
UAV communication/IRS/covert communication/resource allocation/trajectory optimization/convex optimization分类
信息技术与安全科学引用本文复制引用
王正强,李淳,任昕志,徐勇军..基于用户公平性的IRS辅助无人机隐蔽通信系统资源分配算法[J].电子学报,2025,53(11):4104-4115,12.基金项目
国家自然科学基金(No.U23A20279,No.62271094) National Natural Science Foundation of China(No.U23A20279,No.62271094) （No.U23A20279,No.62271094）
