南京邮电大学学报（自然科学版）2025，Vol.45Issue(5)：14-22,9.DOI:10.14132/j.cnki.1673-5439.2025.05.002
无人机携带STAR-RIS辅助的超密集网络效益优化研究
Efficiency optimization in UAV-STAR-RIS assisted UDNs
摘要
Abstract
In the 5G era,ultra-dense networks(UDNs)face significant challenges in cost and energy ef-ficiency optimization.This study proposes a network planning and design approachthat combines un-manned aerial vehicles(UAVs)and simultaneously transmitting and reflecting reconfigurable intelligent surfaces(STAR-RISs).An ultra-dense network model is constructed,incorporating macro base station,user terminals,and UAV-carried STAR-RIS modules.The soft actor-critic(SAC)algorithm is employed to optimize network parameters with the goal of maximizing system efficiency while meeting communica-tion rate requirement.Rate and power models are developed and an objective function of energy and cost efficiency is formulated.The SAC algorithm is adopted to solve the optimization problem and determine the optimal network configuration under constraints of power,rate,and cost.Simulation results indicate that the proposed approach effectively enhances network energy and cost efficiency,thereby reducing en-ergy consumption and deployment cost of the system.关键词
超密集网络/无人机/STAR-RIS/SAC算法/效益优化Key words
ultra-dense network(UDN)/unmanned aerial vehicle(UAV)/simultaneously transmitting and reflecting reconfigurable intelligent surface(STAR-RIS)/soft actor-critic(SAC)algorithm/effi-ciency optimization分类
信息技术与安全科学引用本文复制引用
张国斌,陈瀚,杨芷晴,李晓滨..无人机携带STAR-RIS辅助的超密集网络效益优化研究[J].南京邮电大学学报（自然科学版）,2025,45(5):14-22,9.基金项目
广东省基础与应用基础研究基金粤莞联合基金-地区培育项目(2023A1515140003)资助项目 （2023A1515140003）
