Intelligent Reflective Surface Assisted Integrated Sensing and Wireless Power Transfer

Zheng Li1; Zhengyu Zhu1,2,3; Zheng Chu4; Yingying Guan5; De Mi6; Fan Liu7; Lie-Liang Yang8

2024

10.1109/TITS.2024.3401143

IEEE Transactions on Intelligent Transportation Systems   影响因子和分区

1558-0016

Wireless sensing and wireless energy are enablers to pave the way for smart transportation and a greener future. In this paper, an intelligent reflecting surface (IRS) assisted integrated sensing and wireless power transfer (ISWPT) system is investigated, where the transmitter in transportation infrastructure networks sends signals to sense multiple targets and simultaneously to multiple energy harvesting devices (EHDs) to power them. Recognizing the inherent tradeoff between energy harvesting and sensing performance, we propose to jointly optimize the system performance via optimizing the beamforming and IRS phase shift. However, the coupling of optimization variables makes the formulated problem non-convex. Thus, an alternative optimization approach is introduced and based on which two algorithms are proposed to solve the problem. Specifically, the first algorithm involves the semi-positive definite programming techniques, and the second algorithm is based on the successive convex approximations and majorization minimization to design the closed form solutions of the optimization variables, which can effectively reduce the computational complexity. Our simulation results validate the proposed algorithms and demonstrate the advantages of using IRS to assist wireless power transfer in ISWPT systems. This research contributes to the integration of wireless sensing and wireless energy in intelligent transportation systems and underscores the optimization of system performance through the introduction of IRS.

SCI ; EI

其他

ENGINEERING

1.School of Electrical and Information Engineering, Zhengzhou University, Zhengzhou, China
2.National Mobile Communications Research Laboratory, Southeast University, Nangjing, China
3.State Key Laboratory of Integrated Services Networks, Xidian University, Xi’an, China
4.Department of Electrical and Electronic Engineering and the Next-Generation Internet of Everything Laboratory, University of Nottingham Ningbo China, Ningbo, China
5.School of Computer Science and Engineering, Northeastern University, Shenyang, China
6.School of Computing and Digital Technology, Birmingham City University, Birmingham, U.K.
7.School of System Design and Intelligent Manufacturing (SDIM), Southern University of Science and Technology, Shenzhen, China
8.School of Electronics and Computer Science, University of Southampton, Southampton, U.K.

Zheng Li,Zhengyu Zhu,Zheng Chu,et al. Intelligent Reflective Surface Assisted Integrated Sensing and Wireless Power Transfer[J]. IEEE Transactions on Intelligent Transportation Systems,2024,PP(99).

Zheng Li.,Zhengyu Zhu.,Zheng Chu.,Yingying Guan.,De Mi.,...&Lie-Liang Yang.(2024).Intelligent Reflective Surface Assisted Integrated Sensing and Wireless Power Transfer.IEEE Transactions on Intelligent Transportation Systems,PP(99).

Zheng Li,et al."Intelligent Reflective Surface Assisted Integrated Sensing and Wireless Power Transfer".IEEE Transactions on Intelligent Transportation Systems PP.99(2024).