Journal of Computer Applications ›› 2024, Vol. 44 ›› Issue (12): 3893-3898.DOI: 10.11772/j.issn.1001-9081.2023121761

• Network and communications • Previous Articles     Next Articles

Hybrid intelligent reflecting surface and relay assisted secure transmission scheme based on cooperative interference

Yan SHI1,2, Yue WU2(), Dongqing ZHAO1   

  1. 1.School of Instrument and Electronics,North University of China,Taiyuan Shanxi 030051,China
    2.School of Management Science and Engineering,Anhui University of Finance and Economics,Bengbu Anhui 233030,China
  • Received:2023-12-24 Revised:2024-03-18 Accepted:2024-03-22 Online:2024-04-07 Published:2024-12-10
  • Contact: Yue WU
  • About author:SHI Yan, born in 2000, M. S. candidate. His research interests include machine learning, physical layer security.
    ZHAO Dongqing, born in 1975, Ph. D., associate professor. His research interests include wireless electronics, embedded system.
  • Supported by:
    This work is partially supported Key Research Project of Anhui Higher Education Institutions(2022AH050591);Key Research Project of Anhui University of Finance and Economics(ACKY22022)

基于协作干扰的混合智能反射面和中继辅助安全传输方案

石岩1,2, 武岳2(), 赵冬青1   

  1. 1.中北大学 仪器与电子学院,太原 030051
    2.安徽财经大学 管理科学与工程学院,安徽 蚌埠 233030
  • 通讯作者: 武岳
  • 作者简介:石岩(2000—),男,宁夏固原人,硕士研究生,CCF会员,主要研究方向:机器学习、物理层安全
    赵冬青(1975—),男,山西晋中人,副教授,博士,主要研究方向:无线电子学、嵌入式系统。
  • 基金资助:
    安徽省高校科研重点项目(2022AH050591);安徽财经大学科研重点项目(ACKY22022)

Abstract:

To solve the problems of large channel fading damage, low resource utilization and security loss in high-spectrum short packet communications, a hybrid Intelligent Reflecting Surface (IRS) and relay assisted secure transmission scheme based on cooperative interference was proposed, which used artificial noise to interfere with the channel quality of eavesdroppers in the Multi-Input Single-Output (MISO) system to improve physical layer security. Firstly, the closed-form solution of the base station beamforming vector at the transmitter was derived to optimize the multi-antenna beamforming problem of the base station. Then, the Successive Convex Approximation (SCA) method was used to obtain the optimal allocation ratio of noise power, the gradient descent based Riemannian Manifold (RM) optimization method was used to obtain the optimal phase shift matrix, and the local optimal solutions of three sub-problems were solved respectively. Finally, an alternating optimization algorithm was used to iteratively obtain the global optimal solution. Simulation results show that the proposed algorithm has good convergence performance. When the number of IRS elements is 128, the secrecy rate of the proposed scheme is double of that of the IRS-only scheme and about triple as much as that of the relay-only scheme. In addition, when the location of IRS in the system is not fixed, the optimal power allocation scheme of the hybrid network has higher security performance.

Key words: physical layer security, Decode-and-Forward (DF), Intelligent Reflecting Surface (IRS), artificial noise, secrecy rate

摘要:

针对高频谱短包通信中信道衰落损伤大、资源利用率较低和保密性丢失等问题,提出一种基于协作干扰的混合智能反射面(IRS)和中继辅助的安全传输方案。该方案利用人工噪声干扰多输入单输出(MISO)系统中窃听者的信道质量以提升物理层安全。首先,推导基站发射端波束成形矢量的闭式解,从而优化基站的多天线波束成形;其次,使用连续凸逼近(SCA)方法求得噪声功率的最佳分配比,使用梯度下降的黎曼流形(RM)优化方法获得最优相移矩阵,并分别求解各个子问题的局部最优解;最后,使用交替优化算法迭代得出全局最优解。仿真结果表明,所提方案具有良好的收敛性能,且当IRS单元数为128时,所提方案的安全速率比仅IRS方案提升了1倍,比仅中继的方案提升了约2倍。此外,当IRS在系统的位置不固定时,混合网络的最优功率分配方案具有更高的安全性能。

关键词: 物理层安全, 译码转发, 智能反射面, 人工噪声, 保密速率

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