Advanced Search
Volume 44 Issue 7
Jul.  2022
Turn off MathJax
Article Contents
GAO Junpeng, ZHOU Jihua, ZHAO Tao, XU Yongjun, ZHAO Ruili. Energy-efficient Algorithm for Intelligent Reflecting Surface-aided Secure Communication Systems with Hardware Impairments[J]. Journal of Electronics & Information Technology, 2022, 44(7): 2349-2357. doi: 10.11999/JEIT210976
Citation: GAO Junpeng, ZHOU Jihua, ZHAO Tao, XU Yongjun, ZHAO Ruili. Energy-efficient Algorithm for Intelligent Reflecting Surface-aided Secure Communication Systems with Hardware Impairments[J]. Journal of Electronics & Information Technology, 2022, 44(7): 2349-2357. doi: 10.11999/JEIT210976

Energy-efficient Algorithm for Intelligent Reflecting Surface-aided Secure Communication Systems with Hardware Impairments

doi: 10.11999/JEIT210976
Funds:  The National Natural Science Foundation of China (61601071, 62071078), The National Key Research and Development Program (2019YFC1511300), The Natural Science Foundation of Chongqing (cstc2019jcyj-xfkxX0002)
  • Received Date: 2021-09-14
  • Accepted Date: 2021-12-28
  • Rev Recd Date: 2021-12-21
  • Available Online: 2022-01-13
  • Publish Date: 2022-07-25
  • To mitigate the effects of shadow fading and obstacle blocking, Intelligent Reflecting Surface (IRS) has become an effective technology to improve Energy Efficiency (EE) and reduce hardware cost of wireless communication systems. However, traditional radio Resource Allocation (RA) algorithms have ignored the impact of Hardware Impairments (HIs) of system’s transceivers. Since the distorted received signals are caused by the nonlinearity of amplifiers and the influence of phase noise. so that this type of algorithm can degrade system performance. To deal with this issue, Hardware Impairments of the transceiver and the influence of eavesdroppers is considered, and the problem of energy-saving optimization of hardware impairment in IRS-assisted secure communication systems is investigated. Firstly, an EE-based maximization resource optimization problem is formulated under the maximum transmit power constraint of the base station and the minimum secure rate constraints of users. Secondly, the original non-convex problem is transformed into a convex problem by using the auxiliary variable substitution, semidefinite relaxation and Dinkelbach’s method. Finally, simulation results show that the proposed algorithm is improved 8.3% in terms of security EE and is reduced by 43.5% in terms of the outage probability of legitimate users by comparing it with the traditional RA algorithms without HIs. Therefore, the proposed algorithm has better security and hardware damage resistance.
  • loading
  • [1]
    徐勇军, 刘子腱, 李国权, 等. 基于NOMA的无线携能D2D通信鲁棒能效优化算法[J]. 电子与信息学报, 2021, 43(5): 1289–1297. doi: 10.11999/JEIT200175

    XU Yongjun, LIU Zijian, LI Guoquan, et al. Robust energy efficiency optimization algorithm for NOMA-based D2D communication with simultaneous wireless information and power transfer[J]. Journal of Electronics &Information Technology, 2021, 43(5): 1289–1297. doi: 10.11999/JEIT200175
    [2]
    XU Yongjun, GUI Guan, GACANIN H, et al. A survey on resource allocation for 5G heterogeneous networks: Current research, future trends, and challenges[J]. IEEE Communications Surveys & Tutorials, 2021, 23(2): 668–695. doi: 10.1109/COMST.2021.3059896
    [3]
    徐勇军, 谷博文, 杨洋, 等. 基于不完美CSI的D2D通信网络鲁棒能效资源分配算法[J]. 电子与信息学报, 2021, 43(8): 2189–2198. doi: 10.11999/JEIT200587

    XU Yongjun, GU Bowen, YANG Yang, et al. Robust energy-efficient resource allocation algorithm in D2D communication networks with imperfect CSI[J]. Journal of Electronics &Information Technology, 2021, 43(8): 2189–2198. doi: 10.11999/JEIT200587
    [4]
    WU Qingqing and ZHANG Rui. Towards smart and reconfigurable environment: Intelligent reflecting surface aided wireless networks[J]. IEEE Communications Magazine, 2020, 58(1): 106–112. doi: 10.1109/MCOM.001.1900107
    [5]
    WU Qingqing and ZHANG Rui. Beamforming optimization for wireless network aided by intelligent reflecting surface with discrete phase shifts[J]. IEEE Transactions on Communications, 2020, 68(3): 1838–1851. doi: 10.1109/TCOMM.2019.2958916
    [6]
    WU Qingqing and ZHANG Rui. Intelligent reflecting surface enhanced wireless network via joint active and passive beamforming[J]. IEEE Transactions on Wireless Communications, 2019, 18(11): 5394–5409. doi: 10.1109/TWC.2019.2936025
    [7]
    WU Qingqing, ZHANG Shuowen, ZHENG Beixiong, et al. Intelligent reflecting surface-aided wireless communications: A tutorial[J]. IEEE Transactions on Communications, 2021, 69(5): 3313–3351. doi: 10.1109/TCOMM.2021.3051897
    [8]
    ZHOU Fuhui, CHU Zheng, SUN Haijian, et al. Artificial noise aided secure cognitive beamforming for cooperative MISO-NOMA using SWIPT[J]. IEEE Journal on Selected Areas in Communications, 2018, 36(4): 918–931. doi: 10.1109/JSAC.2018.2824622
    [9]
    GUI 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
    [10]
    FENG Biqian, WU Yongpeng, and ZHENG Mengfan. Secure transmission strategy for intelligent reflecting surface enhanced wireless system[C]. 11th International Conference On Wireless Communications and Signal Processing, Xi’an, China, 2019: 1–6.
    [11]
    ZHANG Jiayi, DAI Linglong, ZAHNG Xinlin, et al. Achievable rate of rician large-scale MIMO channels with transceiver hardware impairments[J]. IEEE Transactions on Vehicular Technology, 2016, 65(10): 8800–8806. doi: 10.1109/TVT.2015.2504428
    [12]
    XING Zhe, WANG Rui, WU Jun, et al. Achievable rate analysis and phase shift optimization on intelligent reflecting surface with hardware impairments[J]. IEEE Transactions on Wireless Communications, 2021, 20(9): 5514–5530. doi: 10.1109/TWC.2021.3068225
    [13]
    KHANSEFID A, Minn H, Zhan Qi, et al. Waveform parameter design and comparisons for millimeter-wave massive MIMO systems with RF distortions[C]. IEEE Globecom Workshops, Washington, USA, 2016: 1–6.
    [14]
    ZHANG Jiayi, XUE Xipeng, BJÖRNSON E, et al. Spectral efficiency of multipair massive MIMO two-way relaying with hardware impairments[J]. IEEE Wireless Communications Letters, 2018, 7(1): 14–17. doi: 10.1109/LWC.2017.2750162
    [15]
    ZHOU Shaoqing, XU Wei, WANG Kezhi, et al. Spectral and energy efficiency of IRS-assisted MISO communication with hardware impairments[J]. IEEE Wireless Communications Letters, 2020, 9(9): 1366–1369. doi: 10.1109/LWC.2020.2990431
    [16]
    SHEN Hong, XU Wei, GONG Shulei, et al. Beamforming optimization for IRS-aided communications with transceiver hardware impairments[J]. IEEE Transactions on Communications, 2021, 69(2): 1214–1227. doi: 10.1109/TCOMM.2020.3033575
    [17]
    PAPAZAFEIROPOULOS A, PAN Cunhua, ELBIR A, et al. Asymptotic analysis of max-min weighted SINR for IRS-assisted MISO systems with hardware impairments[J]. IEEE Wireless Communications Letters, To be published.
    [18]
    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
    [19]
    XU Yongjun, XIE Hao, and HU R Q. Max-min beamforming design for heterogeneous networks with hardware impairments[J]. IEEE Communications Letters, 2021, 25(4): 1328–1332. doi: 10.1109/LCOMM.2020.3044936
    [20]
    ZHOU Gui, PAN Cunhua, REN Hong, et al. Secure wireless communication in RIS-aided MISO system with hardware impairments[J]. IEEE Wireless Communications Letters, 2021, 10(6): 1309–1313. doi: 10.1109/LWC.2021.3064992
    [21]
    DINKELBACH W. On nonlinear fractional programming[J]. Management Science, 1967, 13(7): 492–498. doi: 10.1287/mnsc.13.7.492
  • 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(8)  / Tables(2)

    Article Metrics

    Article views (772) PDF downloads(196) Cited by()
    Proportional views
    Related

    /

    DownLoad:  Full-Size Img  PowerPoint
    Return
    Return