Intelligent reflecting surface(IRS)is re-garded as a promising technology because it can achieve higher passive beamforming gain.In partic-ular,the IRS assisted simultaneous wireless informa-tion and power transfer(SWIPT)system can make the information decoding receivers(IDRs)have a higher signal-to-noise ratio(SNR),and the energy harvest-ing 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 ac-cess point(AP),so that the user in system can har-vest energy and decode information simultaneously,further improve the security of user.We jointly op-timize the beamforming matrix at AP,the reflection phase shift at IRS and the PS ratio,in order to max-imize 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 in-creased.Furthermore,the problem is non-convex,so we propose an efficient algorithm based on Taylor For-mula,semi-definite relaxation(SDR)and alternating optimization(AO)to get the solution.Numerical re-sults show that the proposed IRS-SWIPT system with PS and AN achieves significant performance improve-ment compared with other benchmark scheme.

Baogang Li;Fuqiang Si;Dongsheng Han;Wujing Wu

Department of Electronic and Communication Engineering,North China Electric Power University,Baoding 071003,Hebei,China;Hebei Key Laboratory of Power Internet of Things Technology,North China Electric Power University,Baoding 071003,Hebei,China

中国通信（英文版）

[1]Baogang Li;Fuqiang Si;Dongsheng Han;Wujing Wu-.IRS-Aided SWIPT Systems with Power Splitting and Artificial Noise)[J].中国通信（英文版）,2022(04):108-120

garded,IDRs,timize,imize,mula

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