Monte-Carlo based random passive energy beamforming for reconfigurable intelligent surface assisted wireless power transfer

作     者：Ziyang Lu Yubin Zhao Xiaofan Li Ziyang Lu;Yubin Zhao;Xiaofan Li

作者机构：School of Microelectronics Science and TechnologySun Yat-Sen UniversityZhuhai519082China School of Intelligent System Science and EngineeringJinan UniversityZhuhai519070China 

出 版 物：《Digital Communications and Networks》 (数字通信与网络（英文版）)

年 卷 期：2023年第9卷第3期

页      面：667-676页

核心收录：

学科分类：080904[工学-电磁场与微波技术] 0810[工学-信息与通信工程] 0809[工学-电子科学与技术（可授工学、理学学位）] 08[工学] 080402[工学-测试计量技术及仪器] 0804[工学-仪器科学与技术] 081001[工学-通信与信息系统] 

基　　金：supported by National Nature Science Foundation of China(No.62171484) Zhuhai Fundamental and Application Research(No.ZH22017003210006PWC) Fundamental Research Funds for the Central Universities(No.21621420) 

主　　题：Reconfigurable intelligence surface Wireless power transfer Monte-carlo algorithm Passive beamforming Gibbs sampling 

摘      要：Reconfigurable intelligent surface(RIS)employs passive beamforming to control the wireless propagation channel,which benefits the wireless communication capacity and the received energy efficiency of wireless power transfer(WPT)*** beamforming schemes are classified as discrete and non-convex integer program-ming *** this paper,we propose a Monte-Carlo(MC)based random energy passive beamforming of RIS to achieve the maximum received power of electromagnetic(EM)WPT ***,the Gibbs sampling and re-sampling methods are employed to generate phase shift vector *** the sample with the maximum received power is considered the optimal *** order to adapt to the application scenarios,we develop two types of passive beamforming algorithms based on such MC sampling *** first passive beamforming uses an approximation of the integer programming as the initial sample,which is calculated based on the channel *** the second one is a purely randomized algorithm with the only total received power *** proposed methods present several advantages for RIS control,e.g.,fast convergence,easy implementation,robustness to the channel noise,and limited feedback requirement,and they are applicable even if the channel information is *** to the simulation results,our proposed methods outperform other approxi-mation and genetic *** our methods,the WPT system even significantly improves the power effi-ciency in the nonline-of-sight(NLOS)environment.