Energy-Efficient Legitimate Monitoring and Interfering in Wireless Networks via RIS-Assisted Approach

In this paper, we consider a reconfigurable intelligent surface (RIS)-assisted legitimate monitoring and interfering system, and propose a three-stage scheme to conduct pilot spoofing on suspicious transmitter (ST), monitor suspicious communications, and prevent suspicious receiver (SR) from successful decoding, respectively. In pilot transmission (PT) stage, the SR transmits pilot signal to the ST, and legitimate monitors (LMs) control RIS phase shift matrix by the proposed Majorization-Minimization (MM) based scheme, leading to deviation for ST’s channel estimation. In data transmission (DT) stage, the ST transmits suspicious information to the SR. An Alternating Direction Method of Multipliers (ADMM) based scheme is proposed to optimize RIS phase shift matrix, enhancing stability and effectiveness of LMs’ monitoring performance. In interference signal transmission (IT) stage, the legitimate jammer (LJ) aims to transmit interference signal with lower power to jam the SR. To achieve this objective, we propose a Semidefinite Relaxation-Alternating Optimization (SDR-AO) based scheme and a Block Coordinate Descent (BCD) based scheme to jointly optimize RIS phase shift matrix and minimize LJ’ transmission power. Numerical results demonstrate that our proposed schemes are superior to other comparative schemes. It also confirms that the pilot spoofing can reduce the transmission power consumed by LJ. Moreover, we effectively optimize deployment location of RIS, LMs and LJ. We also verify that the performance of distributed RISs deployment is superior to that of single RIS system.

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Publication Details

Journal
IEEE Transactions on Green Communications and Networking
Published
2025-10-08
DOI
https://doi.org/10.1109/tgcn.2025.3619222
Primary Topic
Energy Efficient Wireless Sensor Networks
Type
article
Field-Weighted Citation Impact
0.00
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article

Energy-Efficient Legitimate Monitoring and Interfering in Wireless Networks via RIS-Assisted Approach

Meng Wang, Qinghe Du, Shijiao Zhang, Likang Zhang et al.
IEEE Transactions on Green Communications and Networking
Energy Efficient Wireless Sensor Networks
article

Energy-Efficient Legitimate Monitoring and Interfering in Wireless Networks via RIS-Assisted Approach

Meng Wang, Qinghe Du, Shijiao Zhang, Likang Zhang, Jianwei Wang, Chen Lü, Chao Xu, Dongdong Wang
article en

Abstract

In this paper, we consider a reconfigurable intelligent surface (RIS)-assisted legitimate monitoring and interfering system, and propose a three-stage scheme to conduct pilot spoofing on suspicious transmitter (ST), monitor suspicious communications, and prevent suspicious receiver (SR) from successful decoding, respectively. In pilot transmission (PT) stage, the SR transmits pilot signal to the ST, and legitimate monitors (LMs) control RIS phase shift matrix by the proposed Majorization-Minimization (MM) based scheme, leading to deviation for ST’s channel estimation. In data transmission (DT) stage, the ST transmits suspicious information to the SR. An Alternating Direction Method of Multipliers (ADMM) based scheme is proposed to optimize RIS phase shift matrix, enhancing stability and effectiveness of LMs’ monitoring performance. In interference signal transmission (IT) stage, the legitimate jammer (LJ) aims to transmit interference signal with lower power to jam the SR. To achieve this objective, we propose a Semidefinite Relaxation-Alternating Optimization (SDR-AO) based scheme and a Block Coordinate Descent (BCD) based scheme to jointly optimize RIS phase shift matrix and minimize LJ’ transmission power. Numerical results demonstrate that our proposed schemes are superior to other comparative schemes. It also confirms that the pilot spoofing can reduce the transmission power consumed by LJ. Moreover, we effectively optimize deployment location of RIS, LMs and LJ. We also verify that the performance of distributed RISs deployment is superior to that of single RIS system.

IEEE Transactions on Green Communications and NetworkingVol. 10
China Electronics Technology Group Corporation (CN), Northwest University (CN), North West Agriculture and Forestry University (CN), ZTE (China) (CN), Beijing Founder Electronics (China) (CN), Northwest Institute of Mechanical and Electrical Engineering (CN), Xijing University (CN), Xi'an Jiaotong University (CN)
Openalex Percentile: Top 67%
Energy Efficient Wireless Sensor Networks
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