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作 者:朱景发 苏颖 张静[1] ZHU Jingfa;SU Ying;ZHANG Jing(College of Information,Mechanical and Electrical Engineering,Shanghai Normal University,Shanghai 201418,China)
机构地区:[1]上海师范大学信息与机电工程学院,上海201418
出 处:《上海师范大学学报(自然科学版中英文)》2024年第3期322-329,共8页Journal of Shanghai Normal University(Natural Sciences)
摘 要:研究了智能反射面(RIS)和缓存辅助的无人机(UAV)中继通信系统方案,通过在UAV与用户之间搭建RIS反射信号,改善信道环境;在UAV与用户设备上部署缓存设备,预先存储热点内容,减轻无线回程链路的压力;以最大化用户服务成功概率为优化目标,建立缓存容量受限约束下的UAV与用户协同缓存放置策略优化模型,针对该非线性连续非凸约束优化问题,提出基于鲸鱼优化算法(WOA)的求解方法.仿真实验结果表明,使用RIS可以有效降低UAV通信中断概率,基于WOA的UAV与用户协同缓存最优放置策略优于现有其他两种缓存策略,能有效提高缓存命中概率,从而提高用户服务成功概率.A reconfigurable intelligent surface(RIS)and cache-assisted unmanned aerial vehicle(UAV)relay-assisted communication system scheme was investigated to improve the channel environment by building RIS reflective signals between the UAV and the user.By deploying cache devices to pre-store hotspot contents on the UAV and user devices,the pressure on the wireless backhaul link was reduced.Besides the cache capacity-constrained optimization model for the cooperative cache placement policy between drones and users with maximizing the user service success probability as the optimization objective was established,and a problem solving method based on the whale optimization algorithm(WOA)was proposed for this nonlinear continuous non-convex constrained optimization problem.The simulation results showed that the use of RIS could effectively reduce the UAV communication outage probability,and the optimal placement policy of UAV-user collaborative cache based on WOA algorithm performed better than the other two existing caching policies,which could effectively improve the cache hit probability and thus the user service success probability.
关 键 词:无人机(UAV)通信 协同缓存 智能反射面(RIS) 鲸鱼优化算法(WOA) 服务成功概率
分 类 号:TN925.3[电子电信—通信与信息系统]
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