Active IRS Aided Secure Design for Integrated Sensing and SWIPT

In this paper, an active intelligent reflecting surface (IRS) assisted secure integrated sensing and simultaneous wireless information and power transfer system is proposed with the power splitting (PS) model adopted. Aiming to maximize the harvested power while satisfying the constraints of the integrated sidelobe level ratio and secrecy rate, an optimization problem is formulated to jointly determine the appropriate transmit beamforming, artificial noise (AN) vectors, PS ratios, as well as the amplification factors and phase shifts of the active IRS, which is non-convex and intractable. To overcome this challenge, we leverage semidefinite programming to transform it into a convex counterpart, and propose an alternating optimization algorithm to obtain a solution for the original problem. Simulation results demonstrate the effectiveness of the proposed scheme compared to benchmarks.

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Publication Details

Published
2024-11-27
DOI
https://doi.org/10.1109/mape62875.2024.10813743
Primary Topic
Advanced Optical Sensing Technologies
Type
article
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article

Active IRS Aided Secure Design for Integrated Sensing and SWIPT

Mingqian Liu, Naofal Al‐Dhahir, Jinlei Xu, Xianbin Wang et al.
Advanced Optical Sensing Technologies
article

Active IRS Aided Secure Design for Integrated Sensing and SWIPT

Mingqian Liu, Naofal Al‐Dhahir, Jinlei Xu, Xianbin Wang, Nan Zhao, Jifa Zhang
article en

Abstract

In this paper, an active intelligent reflecting surface (IRS) assisted secure integrated sensing and simultaneous wireless information and power transfer system is proposed with the power splitting (PS) model adopted. Aiming to maximize the harvested power while satisfying the constraints of the integrated sidelobe level ratio and secrecy rate, an optimization problem is formulated to jointly determine the appropriate transmit beamforming, artificial noise (AN) vectors, PS ratios, as well as the amplification factors and phase shifts of the active IRS, which is non-convex and intractable. To overcome this challenge, we leverage semidefinite programming to transform it into a convex counterpart, and propose an alternating optimization algorithm to obtain a solution for the original problem. Simulation results demonstrate the effectiveness of the proposed scheme compared to benchmarks.

Xidian University (CN), The University of Texas at Dallas (US), Dalian University of Technology (CN)
Industry, innovation and infrastructure
Openalex Percentile: Top 80%
Advanced Optical Sensing Technologies
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