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Volume 46 Issue 1
Jan.  2024
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XU Yongjun, FU Jiajin, HUANG Qiong, HUANG Dong. Robust Secure Resource Allocation Algorithm for Intelligent Reflecting Surface-assisted Multi-antenna Communication Systems[J]. Journal of Electronics & Information Technology, 2024, 46(1): 165-174. doi: 10.11999/JEIT221554
Citation: XU Yongjun, FU Jiajin, HUANG Qiong, HUANG Dong. Robust Secure Resource Allocation Algorithm for Intelligent Reflecting Surface-assisted Multi-antenna Communication Systems[J]. Journal of Electronics & Information Technology, 2024, 46(1): 165-174. doi: 10.11999/JEIT221554

Robust Secure Resource Allocation Algorithm for Intelligent Reflecting Surface-assisted Multi-antenna Communication Systems

doi: 10.11999/JEIT221554
Funds:  The National Natural Science Foundation of China (62271094), The Scientific and Technological Research Program of Chongqing Municipal Education Commission (KJZD-K202200601), Special support for Chongqing Postdoctoral Research Project (2021XM3082)
  • Received Date: 2022-12-16
  • Rev Recd Date: 2023-01-15
  • Available Online: 2023-02-04
  • Publish Date: 2024-01-17
  • To solve the problem of low security and poor transmission quality in cellular communication systems caused by eavesdroppers, obstacles and channel uncertainties, a robust secure resource allocation algorithm for Intelligent Reflecting Surface (IRS)-assisted multi-antenna communication systems is proposed. Firstly, a robust resource allocation problem with bounded channel uncertainties is formulated by jointly optimizing the active beam of the base station, the passive beam of the IRS, meanwhile the secure rate constraint of legitimate users, the maximum transmit power constraint and the phase shift constraint of the IRS are considered. Then, the original non-convex problem with parametric perturbation is transformed using S-procedure, successive convex approximation, alternating optimization and penalty function to obtain a deterministic convex optimization problem that can be solved directly. Finally, an iteration-based robust energy efficiency maximization algorithm is proposed. Simulation results show that the proposed algorithm has good energy efficiency and strong robustness.
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  • [1]
    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
    [2]
    XU Wei, YANG Zhaohui, NG D W K, et al. Edge learning for B5G networks with distributed signal processing: Semantic communication, edge computing, and wireless sensing[J]. IEEE Journal of Selected Topics in Signal Processing, 2023.
    [3]
    XU Yongjun, XIE Hao, WU Qingqing, et al. Robust max-min energy efficiency for RIS-aided HetNets with distortion noises[J]. IEEE Transactions on Communications, 2022, 70(2): 1457–1471. doi: 10.1109/TCOMM.2022.3141798
    [4]
    LI Xingwang, XIE Zhen, CHU Zheng, et al. Exploiting benefits of IRS in wireless powered NOMA networks[J]. IEEE Transactions on Green Communications and Networking, 2022, 6(1): 175–186. doi: 10.1109/TGCN.2022.3144744
    [5]
    LIU Huiling, LI Geng, LI Xingwang, et al. Effective capacity analysis of STAR-RIS-assisted NOMA networks[J]. IEEE Wireless Communications Letters, 2022, 11(9): 1930–1934. doi: 10.1109/LWC.2022.3188443
    [6]
    DU Jianhe, LUO Xin, LI Xingwang, et al. Semi-blind joint channel estimation and symbol detection for RIS-empowered multiuser mmWave systems[J]. IEEE Communications Letters, 2023, 27(1): 362–366. doi: 10.1109/LCOMM.2022.3212083
    [7]
    CHEN J C. Beamforming optimization for intelligent reflecting surface-aided MISO communication systems[J]. IEEE Transactions on Vehicular Technology, 2021, 70(1): 504–513. doi: 10.1109/TVT.2020.3046271
    [8]
    YANG Zhaohui, CHEN Mingzhe, SAAD W, et al. Energy-efficient wireless communications with distributed reconfigurable intelligent surfaces[J]. IEEE Transactions on Wireless Communications, 2022, 21(1): 665–679. doi: 10.1109/TWC.2021.3098632
    [9]
    徐勇军, 高正念, 王茜竹, 等. 基于智能反射面辅助的无线供电通信网络鲁棒能效最大化算法[J]. 电子与信息学报, 2022, 44(7): 2317–2324. doi: 10.11999/JEIT210714

    XU Yongjun, GAO Zhengnian, WANG Qianzhu, et al. Robust energy efficiency maximization algorithm for intelligent reflecting surface-aided wireless powered-communication networks[J]. Journal of Electronics &Information Technology, 2022, 44(7): 2317–2324. doi: 10.11999/JEIT210714
    [10]
    KAWAI Y and SUGIURA S. QoS-constrained optimization of intelligent reflecting surface aided secure energy-efficient transmission[J]. IEEE Transactions on Vehicular Technology, 2021, 70(5): 5137–5142. doi: 10.1109/TVT.2021.3075685
    [11]
    WANG Qun, ZHOU Fuhui, HU R Q, et al. Energy efficient robust beamforming and cooperative jamming design for IRS-assisted MISO networks[J]. IEEE Transactions on Wireless Communications, 2021, 20(4): 2592–2607. doi: 10.1109/TWC.2020.3043325
    [12]
    WANG Silei and LI Qiang. Distributionally robust secure multicast beamforming with intelligent reflecting surface[J]. IEEE Transactions on Information Forensics and Security, 2021, 16: 5429–5441. doi: 10.1109/TIFS.2021.3130440
    [13]
    徐勇军, 徐然, 周继华, 等. 面向窃听用户的RIS-MISO系统鲁棒资源分配算法[J]. 电子与信息学报, 2022, 44(7): 2253–2263. doi: 10.11999/JEIT211537

    XU Yongjun, XU Ran, ZHOU Jihua, et al. Robust resource allocation algorithm for RIS-assisted MISO systems with eavesdroppers[J]. Journal of Electronics &Information Technology, 2022, 44(7): 2253–2263. doi: 10.11999/JEIT211537
    [14]
    XU Yongjun, ZHAO Xiaohui, and LIANG Yingchang. Robust power control and beamforming in cognitive radio networks: A survey[J]. IEEE Communications Surveys & Tutorials, 2015, 17(4): 1834–1857. doi: 10.1109/COMST.2015.2425040
    [15]
    KNOPP R and HUMBLET P A. On coding for block fading channels[J]. IEEE Transactions on Information Theory, 2000, 46(1): 189–205. doi: 10.1109/18.817517
    [16]
    CHEN Pu, OUYANG Jian, ZHU Weiping, et al. Artificial-noise-aided energy-efficient secure beamforming for multi-eavesdroppers in cognitive radio networks[J]. IEEE Systems Journal, 2020, 14(3): 3801–3812. doi: 10.1109/JSYST.2020.2967470
    [17]
    ZHANG Xianda. Matrix Analysis and Applications[M]. Cambridge: Cambridge University Press, 2017.
    [18]
    BOYD S, EL GHAOUI L, FERON E, et al. Linear Matrix Inequalities in System and Control Theory[M]. Philadelphia: Society for Industrial and Applied Mathematics, 1994.
    [19]
    BOYD S and VANDENBERGHE L. Convex Optimization[M]. Cambridge: Cambridge University Press, 2004.
    [20]
    GHARAVOL E A and LARSSON E G. The sign-definiteness lemma and its applications to robust transceiver optimization for multiuser MIMO systems[J]. IEEE Transactions on Signal Processing, 2013, 61(2): 238–252. doi: 10.1109/TSP.2012.2222379
    [21]
    XU Lingwei, ZHOU Xinpeng, LI Ye, et al. Intelligent power allocation algorithm for energy-efficient mobile internet of things (IoT) networks[J]. IEEE Transactions on Green Communications and Networking, 2022, 6(2): 766–775. doi: 10.1109/TGCN.2022.3144532
    [22]
    LU Yang, XIONG Ke, FAN Pingyi, et al. Worst-case energy efficiency in secure SWIPT networks with rate-splitting ID and power-splitting EH receivers[J]. IEEE Transactions on Wireless Communications, 2022, 21(3): 1870–1885. doi: 10.1109/TWC.2021.3107866
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