Maximum throughput design for IRS aided WPCN system based on NOMA

作     者：Guo Hui Zhao Xuehui Guo Hui;Zhao Xuehui

作者机构：School of Physics and Electronic Information EngineeringHenan Polytechnic UniversityJiaozuo 454003China 

出 版 物：《The Journal of China Universities of Posts and Telecommunications》 (中国邮电高校学报（英文版）)

年 卷 期：2022年第29卷第1期

页      面：93-101页

核心收录：

学科分类：080802[工学-电力系统及其自动化] 0808[工学-电气工程] 08[工学] 

基　　金：supported by the Key Scientific and Technological Projects in Henan Province (202102310560) the Basic Scientific Research Operating Expenses of Henan Polytechnic University (NSFRF180309) 

主　　题：wireless powered communication network intelligent reflecting surface non-orthogonal multiple access 

摘      要：This paper considers a wireless powered communication network(WPC network, WPCN) based on non-orthogonal multiple access(NOMA) technology aided by intelligent reflective surfaces(IRS). WPCN mainly focuses on downlink energy transfer(ET) and uplink information transmission(IT). At the ET phase, a dedicated multi-antenna power station(PS) is equipped to supply power to users with the assistance of IRS, and at the IT phase, the IRS adjusts the phase to assist the user in applying NOMA technology to transmit information to the base station(BS), thus minimizing the impact of dynamic IRS on the system. Based on the above settings, the maximization of sum-throughput of the system under this working mode is studied. Due to the non-convexity of maximization problem of the sum-throughput of this system, block coordinate descent(BCD) technology is applied for alternative optimization of each system block by semidefinite relaxation(SDR) and particle swarm optimization(PSO) respectively. The numerical results show that compared with baseline scheme, the proposed optimization scheme can provide greater sum-throughput of the system.