摘要
为了提高无线供电通信网络(WPCN)的信息吞吐量及传能效率并实现系统可持续工作,研究可重构智能表面(RIS)辅助WPCN的吞吐量优化问题。采用非线性能量收集模型,并对RIS进行能量分配,通过联合优化RIS的反射相位和能量分配系数,基站的发射波束赋形,基站能量传输,下行能量传输和上行信息传输的时间分配,以最大限度提高网络用户信息传输的吞吐量。所考虑的优化问题的优化变量高度耦合,难以直接求解。提出基于分块优化、松弛变量引入和半正定松弛方法的高效算法求解该问题。仿真结果表明,与现有的基准方案对比,所提算法能显著提高系统吞吐量和可靠性。
In order to improve the information throughput and energy transfer efficiency of the wireless powered communication network(WPCN)and realize the sustainable operation of the network,the throughput optimization problem of a reconfigurable intelligent surface(RIS)assisted WPCN is studied,where the non-linear energy harvesting model is adopted and the RIS performs power splitting.This paper studies optimizing the transmit beamforming of the base station(BS),the time allocation,and the reflect beamforming of the RIS to maximize the throughput of the network,subject to the constraints of the maximum transmit power of the BS,the energy consumption of the RIS,the total time,as well as the unit-module reflection coefficients of the RIS.Since the optimization variables of the considered optimization problem are highly coupled,it is dificult to solve this problem directly.This paper proposes an eficient algorithm based on the alternating optimization and positive semidefinite relaxation techniques to solve the problem.Simulation results show that as compared to the existing benchmark schemes,the proposed algorithm can significantly improve the system throughput and reliability.
作者
张振
容琪龙
张丁才
陈健锋
崔苗
张广驰
ZHANG Zhen;RONG Qilong;ZHANG Dingcai;CHEN Jianfeng;CUI Miao;ZHANG Guangchi(Cetc Potevio Science and Technology Co.,Ltd.,Guangzhou 510310,China;No.7 Research Institute of China Electronics Technology Group Cooperation,Guangzhou 510310,China;School of Information Engineering,Guangdong University of Technology,Guangzhou 510006,China)
出处
《移动通信》
2023年第12期79-86,98,共9页
Mobile Communications
基金
国家重点研发计划基金资助项目(2020YFB1805300)。
关键词
可重构智能表面
非线性能量收集
无线供电通信网络
reconfigurable intelligent surface
non-linear energy harvesting model
wireless powered communication network
