摘要
针对采用智能反射面(RIS)辅助与解码转发中继的无人机协作通信系统,研究了RIS反射相位、无人机部署位置和无线中继传输时隙联合优化算法。首先根据协作系统传输协议,建立了以最大化系统端到端信息传输可达速率为目标的资源分配联合优化问题。该问题非凸,为此提出一个交替优化算法,将该非凸问题分解为分别对RIS反射相位、无人机部署位置和协作中继传输时隙进行优化的三个子问题。其中RIS反射相位优化子问题和无人机部署位置优化子问题仍非凸,为此,分别采用半定松弛方法和提出一种基于连续凸逼近的局部区域优化方法进行求解,通过三个子问题的交替和迭代优化得到原问题的次优解。仿真结果验证了提出的联合优化算法获得的系统端到端信息传输可达速率优于其他的基准方案,并发现无人机应部署靠近中继或RIS的上方,其结果与系统的信噪比、RIS的反射元件数量以及RIS和中继所处地理位置等因素有关。
For reconfigurable intelligent surface(RIS)and decode-and-forward(DF)relaying assisted unmanned aerial vehicle(UAV)communication system,this paper proposed a joint optimization algorithm to optimize the reflection phase of RIS,the deployment location of UAV,and time allocation for DF relay.Firstly,it formulated a joint resource allocation optimization problem for maximizing achievable transmission rate.The problem was non-convex,thus it derived an alternating optimization algorithm that decomposed the non-convex problem into three sub-problems that optimized the reflection phase of RIS,the UAV deployment location,and the cooperative relay transmission time slot,respectively.Among them,the reflection phase optimization sub-problem and the UAV deployment location optimization sub-problem were still non-convex.Therefore,it used the semidefinite relaxation method and a local area optimization method based on successive convex approximation to solve the two problems,respectively.The research obtained the sub-optimal solution of the original problem by alternating and iterative optimization of the three sub-problems.The simulation results verify that the proposed joint optimization algorithm can obtain a higher system achievable transmission rate than other benchmark schemes,and the optimal deployment position of the UAV is close to above the relay or above the RIS,which is related to factors such as the signal-to-noise ratio of the system,the number of reflective elements of RIS,and the geographical locations of RIS and relay.
作者
李一聪
黄高飞
周发升
赵赛
唐冬
Li Yicong;Huang Gaofei;Zhou Fasheng;Zhao Sai;Tang Dong(School of Electronics&Communication Engineering,Guangzhou University,Guangzhou 510006,China)
出处
《计算机应用研究》
CSCD
北大核心
2022年第7期2114-2119,共6页
Application Research of Computers
基金
国家重点研发计划课题(2021YFB20124003)
国家自然科学基金资助项目(61872098,61902084)
广东省自然科学基金资助项目(2021A1515011812)
广州市创新创业重点资助项目(2020PT104)。
关键词
智能反射面
解码转发中继
无源波束成形
时间分配
无人机通信
reconfigurable intelligent surface(RIS)
decode-and-forward(DF)relay
passive beamforming
time allocation
unmanned aerial vehicle(UAV)aided communication
作者简介
李一聪(1996-),男,江西宜春人,硕士,主要研究方向为智能反射面辅助通信、无人机通信;黄高飞(1978-),男,广东信宜人,副教授,硕导,博士,主要研究方向为无线信息与能量同传、智能反射面辅助通信、无线边缘计算等;周发升(1974-),男,海南乐东人,讲师,硕导,博士,主要研究方向为新一代移动通信网络、智能通信与计算融合、移动定位等;赵赛(1981-),女,湖南衡阳人,副教授,硕导,博士,主要研究方向为新一代无线通信关键技术、数据驱动无线通信等;通信作者:唐冬(1967-),男,辽宁大连人,硕导,博士,主要研究方向为新一代无线与移动通信理论与系统关键技术(tangdong@gzhu.edu.cn).
