IRS-Aided SWIPT Systems with Power Splitting and Artificial Noise

作     者：Baogang Li Fuqiang Si Dongsheng Han Wujing Wu Baogang Li;Fuqiang Si;Dongsheng Han;Wujing Wu

作者机构：Department of Electronic and Communication EngineeringNorth China Electric Power UniversityBaoding 071003HebeiChina Hebei Key Laboratory of Power Internet of Things TechnologyNorth China Electric Power UniversityBaoding 071003HebeiChina 

出 版 物：《China Communications》 (中国通信（英文版）)

年 卷 期：2022年第19卷第4期

页      面：108-120页

核心收录：

学科分类：0810[工学-信息与通信工程] 08[工学] 0804[工学-仪器科学与技术] 080402[工学-测试计量技术及仪器] 

基　　金：supported by the National Natural Science Foundation of China (No. 61971190) the Fundamental Research Funds for the Central Universities (No. 2019 MS089) the Hebei Province Natural Science Foundation (No. F2016502062) the Beijing Natural Science Foundation (No. 4164101)。 

主　　题：intelligent reflecting surface(IRS) passive beamforming power splitting SWIPT 

摘      要：Intelligent reflecting surface(IRS) is regarded as a promising technology because it can achieve higher passive beamforming gain. In particular, the IRS assisted simultaneous wireless information and power transfer(SWIPT) system can make the information decoding receivers(IDRs) have a higher signal-to-noise ratio(SNR), and the energy harvesting receivers(EHRs) have the guarantee of minimum harvested energy threshold. Motivated by the above,in this paper, we use the power splitting(PS) at the user and introduce artificial noise(AN) into the access point(AP), so that the user in system can harvest energy and decode information simultaneously,further improve the security of user. We jointly optimize the beamforming matrix at AP, the reflection phase shift at IRS and the PS ratio, in order to maximize the user’s achievable secrecy rate, subject to the user’s minimum harvested energy threshold and AP’s transmission power. Due to the introduction of PS ratio, the coupling between variables is increased,and the complexity of the problem is significantly increased. Furthermore, the problem is non-convex, so we propose an efficient algorithm based on Taylor Formula, semi-definite relaxation(SDR) and alternating optimization(AO) to get the solution. Numerical results show that the proposed IRS-SWIPT system with PS and AN achieves significant performance improvement compared with other benchmark scheme.