Advanced Search
Volume 44 Issue 7
Jul.  2022
Turn off MathJax
Article Contents
LEI Weijia, ZHAI Zexu, LEI Hongjiang, TANG Hong. Design of Physical Layer Security Scheme for Intelligent Reflecting Surface Assisted Multi-User System with Imperfect CSI[J]. Journal of Electronics & Information Technology, 2022, 44(7): 2299-2308. doi: 10.11999/JEIT220405
Citation: LEI Weijia, ZHAI Zexu, LEI Hongjiang, TANG Hong. Design of Physical Layer Security Scheme for Intelligent Reflecting Surface Assisted Multi-User System with Imperfect CSI[J]. Journal of Electronics & Information Technology, 2022, 44(7): 2299-2308. doi: 10.11999/JEIT220405

Design of Physical Layer Security Scheme for Intelligent Reflecting Surface Assisted Multi-User System with Imperfect CSI

doi: 10.11999/JEIT220405
Funds:  The National Natural Science Foundation of China (61971080)
  • Received Date: 2022-04-06
  • Rev Recd Date: 2022-06-21
  • Available Online: 2022-06-27
  • Publish Date: 2022-07-25
  • This paper investigates the optimization problem of physical layer security for an Intelligent Reflecting Surface (IRS) assisted multi-user downlink system. In each time slot, the information is sent to one user and is kept confidential from to other users, so it is a secure transmission system with multiple eavesdroppers. The target user of the information is the legitimate receiver and the others are regarded as eavesdroppers. The Channel State Information (CSI) of the eavesdropping channels owned by the base station is outdated because of the time variability of the channels, and there is error between the outdated CSI and the real CSI. To maximize system security rate in the worst case, the beamforming vectors of the signal and the artificial noise, and the IRS phase shifts are jointly optimized. The original optimization problem is a non-convex positive semi-definite programming problem.The problem is transformed into a convex problem and solved by using slack variables, penalty-based, Charnes-Cooper transformation, alternating optimization and other methods. The simulation results show that the proposed optimization algorithm can effectively improve the system security rate compared with other benchmark schemes.
  • loading
  • [1]
    ZHANG Shunqing, WU Qingqing, XU Shugong, et al. Fundamental green tradeoffs: Progresses, challenges, and impacts on 5G networks[J]. IEEE Communications Surveys & Tutorials, 2017, 19(1): 33–56. doi: 10.1109/COMST.2016.2594120
    [2]
    雷维嘉, 林秀珍, 杨小燕, 等. 利用人工噪声提高合法接收者性能的物理层安全方案[J]. 电子与信息学报, 2016, 38(11): 2887–2892. doi: 10.11999/JEIT160054

    LEI Weijia, LIN Xiuzhen, YANG Xiaoyan, et al. Physical layer security scheme exploiting artificial noise to improve the performance of legitimate user[J]. Journal of Electronics &Information Technology, 2016, 38(11): 2887–2892. doi: 10.11999/JEIT160054
    [3]
    WU Qingqing and ZHANG Rui. Towards smart and reconfigurable environment: Intelligent reflecting surface aided wireless network[J]. IEEE Communications Magazine, 2020, 58(1): 106–112. doi: 10.1109/MCOM.001.1900107
    [4]
    GUAN Xinrong, WU Qingqing, and ZHANG Rui. Intelligent reflecting surface assisted secrecy communication: Is artificial noise helpful or not?[J]. IEEE Wireless Communications Letters, 2020, 9(6): 778–782. doi: 10.1109/LWC.2020.2969629
    [5]
    HONG Sheng, PAN Cunhua, REN Hong, et al. Artificial-noise-aided secure MIMO wireless communications via intelligent reflecting surface[J]. IEEE Transactions on Communications, 2020, 68(12): 7851–7866. doi: 10.1109/TCOMM.2020.3024621
    [6]
    CUI Miao, ZHANG Guangchi, and ZHANG Rui. Secure wireless communication via intelligent reflecting surface[J]. IEEE Wireless Communications Letters, 2019, 8(5): 1410–1414. doi: 10.1109/LWC.2019.2919685
    [7]
    DE ARAÚJO G T and DE ALMEIDA A L F. PARAFAC-based channel estimation for intelligent reflective surface assisted MIMO system[C]. 2020 IEEE 11th Sensor Array and Multichannel Signal Processing Workshop, Hangzhou, China, 2020: 1–5.
    [8]
    ZHENG Beixiong and ZHANG Rui. Intelligent reflecting surface-enhanced OFDM: Channel estimation and reflection optimization[J]. IEEE Wireless Communications Letters, 2020, 9(4): 518–522. doi: 10.1109/LWC.2019.2961357
    [9]
    YU Xianghao, XU Dongfang, SUN Ying, et al. Robust and secure wireless communications via intelligent reflecting surfaces[J]. IEEE Journal on Selected Areas in Communications, 2020, 38(11): 2637–2652. doi: 10.1109/JSAC.2020.3007043
    [10]
    HONG Sheng, PAN Cunhua, REN Hong, et al. Robust transmission design for intelligent reflecting surface-aided secure communication systems with imperfect cascaded CSI[J]. IEEE Transactions on Wireless Communications, 2021, 20(4): 2487–2501. doi: 10.1109/TWC.2020.3042828
    [11]
    DONG Limeng, WANG Huiming, and XIAO Haitao. Secure cognitive radio communication via intelligent reflecting surface[J]. IEEE Transactions on Communications, 2021, 69(7): 4678–4690. doi: 10.1109/TCOMM.2021.3073028
    [12]
    BOYD S and VANDENBERGHE L. Convex Optimization[M]. Britain: Cambridge University Press, 2004: 131–133.
    [13]
    LI Qiang and MA W K. Spatially selective artificial-noise aided transmit optimization for MISO multi-eves secrecy rate maximization[J]. IEEE Transactions on Signal Processing, 2013, 61(10): 2704–2717. doi: 10.1109/TSP.2013.2253771
    [14]
    LUO Zhiquan, STURM J F, and ZHANG Shuzhong. Multivariate nonnegative quadratic mappings[J]. SIAM Journal on Optimization, 2004, 14(4): 1140–1162. doi: 10.1137/S1052623403421498
    [15]
    MICHAEL C, STEPHEN B. The CVX users’ guide[EB/OL]. http://cvxr.com/cvx/, 2020.
    [16]
    LI Qiang and MA W K. Optimal and robust transmit designs for MISO channel secrecy by semidefinite programming[J]. IEEE Transactions on Signal Processing, 2011, 59(8): 3799–3812. doi: 10.1109/TSP.2011.2146775
    [17]
    YAN Wenjing, YUAN Xiaojun, HE Zhenqing, et al. Passive beamforming and information transfer design for reconfigurable intelligent surfaces aided multiuser MIMO systems[J]. IEEE Journal on Selected Areas in Communications, 2020, 38(8): 1793–1808. doi: 10.1109/JSAC.2020.3000811
    [18]
    LIAO Weicheng, CHANG Tsunghui, MA Wingkin, et al. QoS-based transmit beamforming in the presence of eavesdroppers: An optimized artificial-noise-aided approach[J]. IEEE Transactions on Signal Processing, 2011, 59(3): 1202–1216. doi: 10.1109/TSP.2010.2094610
  • 加载中

Catalog

    通讯作者: 陈斌, bchen63@163.com
    • 1. 

      沈阳化工大学材料科学与工程学院 沈阳 110142

    1. 本站搜索
    2. 百度学术搜索
    3. 万方数据库搜索
    4. CNKI搜索

    Figures(7)  / Tables(2)

    Article Metrics

    Article views (509) PDF downloads(186) Cited by()
    Proportional views
    Related

    /

    DownLoad:  Full-Size Img  PowerPoint
    Return
    Return