A Robust Resource Allocation Algorithm for Intelligent Reflecting Surface-assisted Anti-jamming Secure Communication Systems

XI Bing; FENG Yanbo; DENG Bingguang; ZHANG Zhizhong

doi:10.11999/JEIT230343

Volume 46 Issue 3

Mar. 2024

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Article Navigation > Journal of Electronics & Information Technology > 2024 > 46(3): 875-885

XI Bing, FENG Yanbo, DENG Bingguang, ZHANG Zhizhong. A Robust Resource Allocation Algorithm for Intelligent Reflecting Surface-assisted Anti-jamming Secure Communication Systems[J]. Journal of Electronics & Information Technology, 2024, 46(3): 875-885. doi: 10.11999/JEIT230343

Citation:

XI Bing, FENG Yanbo, DENG Bingguang, ZHANG Zhizhong. A Robust Resource Allocation Algorithm for Intelligent Reflecting Surface-assisted Anti-jamming Secure Communication Systems[J]. Journal of Electronics & Information Technology, 2024, 46(3): 875-885. doi: 10.11999/JEIT230343

Citation:

XI Bing, FENG Yanbo, DENG Bingguang, ZHANG Zhizhong. A Robust Resource Allocation Algorithm for Intelligent Reflecting Surface-assisted Anti-jamming Secure Communication Systems[J]. Journal of Electronics & Information Technology, 2024, 46(3): 875-885. doi: 10.11999/JEIT230343

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A Robust Resource Allocation Algorithm for Intelligent Reflecting Surface-assisted Anti-jamming Secure Communication Systems

doi: 10.11999/JEIT230343

1.
School of Communications and Information Engineering, Chongqing University of Posts and Telecommunications, Chongqing 400065, China
2.
School of Electronic and Information Engineering, Nanjing University of Information Science and Technology, Nanjing 210044, China

Funds: The National Natural Science Foundation of China (61831002, 61901075)

Received Date: 2023-04-26
Rev Recd Date: 2023-09-10

Available Online: 2023-09-14

Publish Date: 2024-03-27

Abstract

Abstract

To address issues such as reduced communication quality and poor security caused by malicious jamming attacks, eavesdropping, and imperfect channel state information, a robust resource allocation algorithm for Intelligent Reflecting Surface(IRS)-assisted anti-jamming secure communication system is proposed in this paper. Firstly, based on the minimum security rate constraint, maximum transmit power constraint, and IRS phase shift constraint of legitimate users, a robust resource allocation problem is constructed by jointly optimizing the beamforming vectors of the base station, the covariance matrix of artificial noise, and the phase shift matrix of IRS, in the presence of imperfect channel state information of illegal nodes and unknown beamforming vectors of jammers. Secondly, to solve the problem, the original optimisation problem is transformed into an tractable convex optimisation problem using alternating optimisation, the Cauchy-Schwarz inequality, successive convex approximations and Taylor series expansions. The simulation results demonstrate that the proposed algorithm can effectively enhance system security, reduce power consumption, and improve anti-jamming resilience, compared to traditional algorithms. Furthermore, within a certain range of channel errors, it can decrease the probability of confidential interruption by approximately 35%, indicating its strong robustness.
- Physical layer security,
- Intelligent Reflecting Surface(IRS),
- Anti-jamming,
- Robustness,
- Artificial noise

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References(22)

References

[1]	ZOU Yulong, ZHU Jia, WANG Xianbin, et al. A survey on wireless security: Technical challenges, recent advances, and future trends[J]. Proceedings of the IEEE, 2016, 104(9): 1727–1765. doi: 10.1109/JPROC.2016.2558521.
[2]	GOEL S and NEGI R. Guaranteeing secrecy using artificial noise[J]. IEEE Transactions on Wireless Communications, 2008, 7(6): 2180–2189. doi: 10.1109/TWC.2008.060848.
[3]	LI Guoquan, ZHANG Hui, WANG Yuhui, et al. QoS guaranteed power minimization and beamforming for IRS-assisted NOMA systems[J]. IEEE Wireless Communications Letters, 2023, 12(3): 391–395. doi: 10.1109/LWC.2022.3189272.
[4]	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.
[5]	LI Baogang, WU Wenjing, LI Yonghui, et al. Intelligent reflecting surface and artificial-noise-assisted secure transmission of MEC system[J]. IEEE Internet of Things Journal, 2022, 9(13): 11477–11488. doi: 10.1109/JIOT.2021.3127534.
[6]	ZHOU Gui, PAN Cunhua, REN Hong, et al. A framewo202rk of robust transmission design for IRS-aided MISO communications with imperfect cascaded channels[J]. IEEE Transactions on Signal Processing, 2020, 68: 5092–5106. doi: 10.1109/TSP.2020.3019666.
[7]	SHEN Meng, LEI Xianfu, MATHIOPOULOS P T, et al. Robust beamforming design for IRS-aided secure communication systems under complete imperfect CSI[J]. IEEE Transactions on Vehicular Technology, 2023, 72(6): 8204–8209. doi: 10.1109/TVT.2023.3243115.
[8]	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.
[9]	JI Zhi, YANG Wendong, GUAN Xinrong, et al. Trajectory and transmit power optimization for IRS-assisted UAV communication under malicious jamming[J]. IEEE Transactions on Vehicular Technology, 2022, 71(10): 11262–11266. doi: 10.1109/TVT.2022.3187092.
[10]	SUN Yifu, AN Kang, LUO Junshan, et al. Outage constrained robust beamforming optimization for multiuser IRS-assisted anti-jamming communications with incomplete information[J]. IEEE Internet of Things Journal, 2022, 9(15): 13298–13314. doi: 10.1109/JIOT.2022.3140752.
[11]	徐勇军, 符加劲, 黄琼, 等. 智能反射面辅助的多天线通信系统鲁棒安全资源分配算法[J]. 电子与信息学报, 2024, 46(1): 165–174. XU Yongjun, FU Jiajin, HUANG Qiong, et al. 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.
[12]	ZHOU Gui, PAN Cunhua, REN Hong, et al. Robust beamforming design for intelligent reflecting surface aided MISO communication systems[J]. IEEE Wireless Communications Letters, 2020, 9(10): 1658–1662. doi: 10.1109/LWC.2020.3000490.
[13]	NIU Hehao, CHU Zheng, ZHOU Fuhui, et al. Weighted sum secrecy rate maximization using intelligent reflecting surface[J]. IEEE Transactions on Communications, 2021, 69(9): 6170–6184. doi: 10.1109/TCOMM.2021.3085780.
[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]	SHEN Zhexian, XU Kui, and XIA Xiaochen. Beam-domain anti-jamming transmission for downlink massive MIMO systems: A stackelberg game perspective[J]. IEEE Transactions on Information Forensics and Security, 2021, 16: 2727–2742. doi: 10.1109/TIFS.2021.3063632.
[16]	BOYD S P and VANDENBERGHE L. Convex Optimization[M]. Cambridge: Cambridge University Press, 2004.
[17]	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.
[18]	XU Yongjun, XIE Hao, LIANG Chengchao, et al. Robust secure energy-efficiency optimization in SWIPT-aided heterogeneous networks with a nonlinear energy-harvesting model[J]. IEEE Internet of Things Journal, 2021, 8(19): 14908–14919. doi: 10.1109/JIOT.2021.3072965.
[19]	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.
[20]	LUO Zhiquan, MA W K, SO A M C, et al. Semidefinite relaxation of quadratic optimization problems[J]. IEEE Signal Processing Magazine, 2010, 27(3): 20–34. doi: 10.1109/MSP.2010.936019.
[21]	BAHINGAYI E E and LEE K. Low-complexity beamforming algorithms for IRS-aided single-user massive MIMO mmWave systems[J]. IEEE Transactions on Wireless Communications, 2022, 21(11): 9200–9211. doi: 10.1109/TWC.2022.3174154.
[22]	WANG Kunyu, SO A M C, CHANG T H, et al. Outage constrained robust transmit optimization for multiuser MISO downlinks: Tractable approximations by conic optimization[J]. IEEE Transactions on Signal Processing, 2014, 62(21): 5690–5705. doi: 10.1109/TSP.2014.2354312.