Joint Beamforming Optimization for the Intelligent Reflecting Surface Assisted Wireless Surveillance System

Yan Pan; Zhixiang Deng

doi:doi:10.11648/j.mcs.20210601.11

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Joint Beamforming Optimization for the Intelligent Reflecting Surface Assisted Wireless Surveillance System

Yan Pan, Zhixiang Deng

Published in Mathematics and Computer Science (Volume 6, Issue 1)

Received: 27 December 2020 Accepted: 7 January 2021 Published: 18 January 2021

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Abstract

The intelligent reflecting surface (IRS), which consists of a large number of reflecting units, can adjust the phase shifts of its reflecting units to strengthen the desired signal and/or suppress the undesired signal. In this paper, we consider an IRS-assisted wireless surveillance system where an IRS is deployed to assist the legal surveillance receiver E to monitor the information transmission of the suspicious link from AP to the suspicious receiver B. Two communication scenarios assuming whether the suspicious link is aware of the existence of the monitor are considered. The optimization problem under the constraint that the achievable rate at the monitor E is larger than that at the suspicious receiver B is proposed to jointly optimize the beamforming vector at the AP and the phase shift matrix at the IRS to maximize the achievable eavesdropping rate. To solve this non-convex problem, we introduce the semi-definite relaxation (SDR) approach and the alternating optimization (AO) method to convert the non-convex optimization problem to a series of semi-definite programs (SDPs) and solve the SDPs iteratively. Simulation results show that the assistance of IRS can greatly improve the performance of the surveillance, and achieves significant advantages over the traditional relay-assisted wireless surveillance system.

Published in	Mathematics and Computer Science (Volume 6, Issue 1)
DOI	10.11648/j.mcs.20210601.11
Page(s)	1-7
Creative Commons	This is an Open Access article, distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution and reproduction in any medium or format, provided the original work is properly cited.
Copyright	Copyright © The Author(s), 2024. Published by Science Publishing Group

Keywords

Intelligent Reflecting Surface (IRS), Wireless Surveillance System, Semi-definite Relaxation (SDR), Alternating Optimization (AO)

References

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Yan Pan, Zhixiang Deng. (2021). Joint Beamforming Optimization for the Intelligent Reflecting Surface Assisted Wireless Surveillance System. Mathematics and Computer Science, 6(1), 1-7. https://doi.org/10.11648/j.mcs.20210601.11

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ACS Style

Yan Pan; Zhixiang Deng. Joint Beamforming Optimization for the Intelligent Reflecting Surface Assisted Wireless Surveillance System. Math. Comput. Sci. 2021, 6(1), 1-7. doi: 10.11648/j.mcs.20210601.11

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AMA Style

Yan Pan, Zhixiang Deng. Joint Beamforming Optimization for the Intelligent Reflecting Surface Assisted Wireless Surveillance System. Math Comput Sci. 2021;6(1):1-7. doi: 10.11648/j.mcs.20210601.11

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@article{10.11648/j.mcs.20210601.11,
  author = {Yan Pan and Zhixiang Deng},
  title = {Joint Beamforming Optimization for the Intelligent Reflecting Surface Assisted Wireless Surveillance System},
  journal = {Mathematics and Computer Science},
  volume = {6},
  number = {1},
  pages = {1-7},
  doi = {10.11648/j.mcs.20210601.11},
  url = {https://doi.org/10.11648/j.mcs.20210601.11},
  eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.mcs.20210601.11},
  abstract = {The intelligent reflecting surface (IRS), which consists of a large number of reflecting units, can adjust the phase shifts of its reflecting units to strengthen the desired signal and/or suppress the undesired signal. In this paper, we consider an IRS-assisted wireless surveillance system where an IRS is deployed to assist the legal surveillance receiver E to monitor the information transmission of the suspicious link from AP to the suspicious receiver B. Two communication scenarios assuming whether the suspicious link is aware of the existence of the monitor are considered. The optimization problem under the constraint that the achievable rate at the monitor E is larger than that at the suspicious receiver B is proposed to jointly optimize the beamforming vector at the AP and the phase shift matrix at the IRS to maximize the achievable eavesdropping rate. To solve this non-convex problem, we introduce the semi-definite relaxation (SDR) approach and the alternating optimization (AO) method to convert the non-convex optimization problem to a series of semi-definite programs (SDPs) and solve the SDPs iteratively. Simulation results show that the assistance of IRS can greatly improve the performance of the surveillance, and achieves significant advantages over the traditional relay-assisted wireless surveillance system.},
 year = {2021}
}

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TY  - JOUR
T1  - Joint Beamforming Optimization for the Intelligent Reflecting Surface Assisted Wireless Surveillance System
AU  - Yan Pan
AU  - Zhixiang Deng
Y1  - 2021/01/18
PY  - 2021
N1  - https://doi.org/10.11648/j.mcs.20210601.11
DO  - 10.11648/j.mcs.20210601.11
T2  - Mathematics and Computer Science
JF  - Mathematics and Computer Science
JO  - Mathematics and Computer Science
SP  - 1
EP  - 7
PB  - Science Publishing Group
SN  - 2575-6028
UR  - https://doi.org/10.11648/j.mcs.20210601.11
AB  - The intelligent reflecting surface (IRS), which consists of a large number of reflecting units, can adjust the phase shifts of its reflecting units to strengthen the desired signal and/or suppress the undesired signal. In this paper, we consider an IRS-assisted wireless surveillance system where an IRS is deployed to assist the legal surveillance receiver E to monitor the information transmission of the suspicious link from AP to the suspicious receiver B. Two communication scenarios assuming whether the suspicious link is aware of the existence of the monitor are considered. The optimization problem under the constraint that the achievable rate at the monitor E is larger than that at the suspicious receiver B is proposed to jointly optimize the beamforming vector at the AP and the phase shift matrix at the IRS to maximize the achievable eavesdropping rate. To solve this non-convex problem, we introduce the semi-definite relaxation (SDR) approach and the alternating optimization (AO) method to convert the non-convex optimization problem to a series of semi-definite programs (SDPs) and solve the SDPs iteratively. Simulation results show that the assistance of IRS can greatly improve the performance of the surveillance, and achieves significant advantages over the traditional relay-assisted wireless surveillance system.
VL  - 6
IS  - 1
ER  -

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Author Information

Yan Pan

College of Internet of Things Engineering, Hohai University, Changzhou, China
Zhixiang Deng

College of Internet of Things Engineering, Hohai University, Changzhou, China

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Yan Pan, Zhixiang Deng. (2021). Joint Beamforming Optimization for the Intelligent Reflecting Surface Assisted Wireless Surveillance System. Mathematics and Computer Science, 6(1), 1-7. https://doi.org/10.11648/j.mcs.20210601.11

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ACS Style

Yan Pan; Zhixiang Deng. Joint Beamforming Optimization for the Intelligent Reflecting Surface Assisted Wireless Surveillance System. Math. Comput. Sci. 2021, 6(1), 1-7. doi: 10.11648/j.mcs.20210601.11

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AMA Style

Yan Pan, Zhixiang Deng. Joint Beamforming Optimization for the Intelligent Reflecting Surface Assisted Wireless Surveillance System. Math Comput Sci. 2021;6(1):1-7. doi: 10.11648/j.mcs.20210601.11

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@article{10.11648/j.mcs.20210601.11,
  author = {Yan Pan and Zhixiang Deng},
  title = {Joint Beamforming Optimization for the Intelligent Reflecting Surface Assisted Wireless Surveillance System},
  journal = {Mathematics and Computer Science},
  volume = {6},
  number = {1},
  pages = {1-7},
  doi = {10.11648/j.mcs.20210601.11},
  url = {https://doi.org/10.11648/j.mcs.20210601.11},
  eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.mcs.20210601.11},
  abstract = {The intelligent reflecting surface (IRS), which consists of a large number of reflecting units, can adjust the phase shifts of its reflecting units to strengthen the desired signal and/or suppress the undesired signal. In this paper, we consider an IRS-assisted wireless surveillance system where an IRS is deployed to assist the legal surveillance receiver E to monitor the information transmission of the suspicious link from AP to the suspicious receiver B. Two communication scenarios assuming whether the suspicious link is aware of the existence of the monitor are considered. The optimization problem under the constraint that the achievable rate at the monitor E is larger than that at the suspicious receiver B is proposed to jointly optimize the beamforming vector at the AP and the phase shift matrix at the IRS to maximize the achievable eavesdropping rate. To solve this non-convex problem, we introduce the semi-definite relaxation (SDR) approach and the alternating optimization (AO) method to convert the non-convex optimization problem to a series of semi-definite programs (SDPs) and solve the SDPs iteratively. Simulation results show that the assistance of IRS can greatly improve the performance of the surveillance, and achieves significant advantages over the traditional relay-assisted wireless surveillance system.},
 year = {2021}
}

Copy | Download

TY  - JOUR
T1  - Joint Beamforming Optimization for the Intelligent Reflecting Surface Assisted Wireless Surveillance System
AU  - Yan Pan
AU  - Zhixiang Deng
Y1  - 2021/01/18
PY  - 2021
N1  - https://doi.org/10.11648/j.mcs.20210601.11
DO  - 10.11648/j.mcs.20210601.11
T2  - Mathematics and Computer Science
JF  - Mathematics and Computer Science
JO  - Mathematics and Computer Science
SP  - 1
EP  - 7
PB  - Science Publishing Group
SN  - 2575-6028
UR  - https://doi.org/10.11648/j.mcs.20210601.11
AB  - The intelligent reflecting surface (IRS), which consists of a large number of reflecting units, can adjust the phase shifts of its reflecting units to strengthen the desired signal and/or suppress the undesired signal. In this paper, we consider an IRS-assisted wireless surveillance system where an IRS is deployed to assist the legal surveillance receiver E to monitor the information transmission of the suspicious link from AP to the suspicious receiver B. Two communication scenarios assuming whether the suspicious link is aware of the existence of the monitor are considered. The optimization problem under the constraint that the achievable rate at the monitor E is larger than that at the suspicious receiver B is proposed to jointly optimize the beamforming vector at the AP and the phase shift matrix at the IRS to maximize the achievable eavesdropping rate. To solve this non-convex problem, we introduce the semi-definite relaxation (SDR) approach and the alternating optimization (AO) method to convert the non-convex optimization problem to a series of semi-definite programs (SDPs) and solve the SDPs iteratively. Simulation results show that the assistance of IRS can greatly improve the performance of the surveillance, and achieves significant advantages over the traditional relay-assisted wireless surveillance system.
VL  - 6
IS  - 1
ER  -

Copy | Download