南京邮电大学学报（自然科学版）2025，Vol.45Issue(3)：38-47,10.DOI:10.14132/j.cnki.1673-5439.2025.03.005
IRS增强的UAV机会接入宽带CR系统资源分配与安全优化
Resource allocation and security optimization in IRS-enhanced UAV opportunistic access wideband CR systems
摘要
Abstract
This paper proposes an intelligent reflecting surface(IRS)-enhanced unmanned aerial vehicle(UAV)opportunistic access wideband cognitive radio(CR)system to improve system spectrum effi-ciency and ensure physical layer security(PLS).By jointly optimizing the UAV's beamforming and flight trajectory,IRS reflection coefficients,user and IRS association selection,subcarrier selection,and sens-ing time,this paper maximizes the sum secure rate of the secondary network while satisfying the primary user's maximum tolerable interference and the secondary user's minimum secure rate requirements.The problem is highly non-convex due to integer programming constraints,nonlinear constraints,and the cou-pling between optimization variables.Therefore,this paper employs deep reinforcement learning(DRL)algorithms,including the dueling double deep Q network(D3QN)algorithm and the soft actor-critic(SAC)algorithm.This approach can efficiently handle complex mixed-variable optimization problems,improve algorithm stability and convergence speed,and ensure optimal resource allocation and communi-cation security performance in dynamic environments.Simulation results show that the proposed method significantly outperforms benchmark schemes in terms of communication security and spectrum effi-ciency.Specifically,the introduction of IRS,UAV,and CR technologies significantly enhances system spectrum utilization and user secure rates.Furthermore,the proposed method exhibits high stability and rapid convergence speed in dynamic environments.关键词
智能反射面/增强无人机/机会接入/认知无线电/物理层安全/深度强化学习算法Key words
intelligent reflecting surface(IRS)/enhanced unmanned aerial vehicle(UAV)/opportunistic access/cognitive radio(CR)/physical layer security(PLS)/deep reinforcement learning(DRL)algorithm分类
电子信息工程引用本文复制引用
赵国兴,刘富辉,晏子祥,吴伟,田峰..IRS增强的UAV机会接入宽带CR系统资源分配与安全优化[J].南京邮电大学学报（自然科学版）,2025,45(3):38-47,10.基金项目
国家自然科学基金(62271267)、广东省自然资源厅海洋经济发展重点专项基金(GDNRC[2023]24)和东南大学移动通信全国重点实验室开放研究基金(2024D16)资助项目 （62271267）
