RIS辅助的UAV与用户协同缓存策略
Cooperative caching strategy of UAV and user with RIS-assisted
朱景发 1苏颖 1张静1
作者信息
- 1. 上海师范大学信息与机电工程学院,上海 201418
- 折叠
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U A V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.
Abstract
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 WO A 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Key words
unmanned aerial vehicle(UAV)communication/cooperative caching/reconfigurable intelligent surface(RIS)/whale optimization algorithm(WOA)/service success probability引用本文复制引用
出版年
2024
NETL
NSTL
万方数据