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

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), 2021. 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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[8] B. V. Nguyen and K. Kim, Secrecy outage probability of optimal relay selection for secure AF cooperative networks, IEEE Communications Letters, Dec. 2015, vol. 19, no. 12, pp. 2086-2089, doi: 10.1109/LCOMM.2015.2486768.
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[11] W. Chen, X. Ma, Z. Li, et al. Sum-rate maximization for intelligent reflecting surface based terahertz communication systems, 2019 IEEE/CIC International Conference on Communications Workshops in China (ICCC Workshops). IEEE, 2019: 153-157.
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  • APA Style

    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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    T1  - Joint Beamforming Optimization for the Intelligent Reflecting Surface Assisted Wireless Surveillance System
    AU  - Yan Pan
    AU  - Zhixiang Deng
    Y1  - 2021/01/18
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    DO  - 10.11648/j.mcs.20210601.11
    T2  - Mathematics and Computer Science
    JF  - Mathematics and Computer Science
    JO  - Mathematics and Computer Science
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    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
  • College of Internet of Things Engineering, Hohai University, Changzhou, China

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

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