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智能反射面辅助通感一体化系统安全资源分配算法

朱政宇 杨晨一 李铮 郝万明 杨婧 孙钢灿

朱政宇, 杨晨一, 李铮, 郝万明, 杨婧, 孙钢灿. 智能反射面辅助通感一体化系统安全资源分配算法[J]. 电子与信息学报. doi: 10.11999/JEIT240083
引用本文: 朱政宇, 杨晨一, 李铮, 郝万明, 杨婧, 孙钢灿. 智能反射面辅助通感一体化系统安全资源分配算法[J]. 电子与信息学报. doi: 10.11999/JEIT240083
ZHU Zhengyu, YANG Chenyi, LI Zheng, HAO Wanming, YANG Jing, SUN Gangcan. Resource Allocation Algorithm for Intelligent Reflecting Surface-assisted Secure Integrated Sensing And Communications System[J]. Journal of Electronics & Information Technology. doi: 10.11999/JEIT240083
Citation: ZHU Zhengyu, YANG Chenyi, LI Zheng, HAO Wanming, YANG Jing, SUN Gangcan. Resource Allocation Algorithm for Intelligent Reflecting Surface-assisted Secure Integrated Sensing And Communications System[J]. Journal of Electronics & Information Technology. doi: 10.11999/JEIT240083

智能反射面辅助通感一体化系统安全资源分配算法

doi: 10.11999/JEIT240083
基金项目: 国家重点研发计划(2022YFD2001200),国家自然科学基金(61922072),中国博士后科学基金(2023T160596),河南省自然科学基金优青项目(232300421097),河南省高校科技创新人才支持计划(23HASTIT019),河南省博士后经费资助(202001015),东南大学移动通信国家重点实验室开放课题(2023D11)
详细信息
    作者简介:

    朱政宇:男,副教授,研究方向为无线通信和信号处理、5G/6G、智能反射面辅助通信等

    杨晨一:女,硕士生,研究方向为智能反射面辅助、通感一体化

    李铮:男,博士生,研究方向为无线通信和信号处理

    郝万明:男,副教授,研究方向为毫米波/太赫兹智能超表面、通感一体化

    杨婧:女,讲师,研究方向为通信感知一体化

    孙钢灿:男,教授,研究方向为通信信号处理、通信信号关键参数盲估计等

    通讯作者:

    孙钢灿 iegcsun@zzu.edu.cn

  • 中图分类号: TN915.0

Resource Allocation Algorithm for Intelligent Reflecting Surface-assisted Secure Integrated Sensing And Communications System

Funds: The National Key R&D Program of China (2022YFD2001200), The National Natural Science Foundation of China (61922072), China Postdoctoral Science Foundation (2023T160596), The Natural Science Foundation of Henan Province (232300421097), The Program for Science & Technology Innovation Talents in Universities of Henan Province (23HASTIT019), Henan Postdoctoral Foundation (202001015), The Open Research Fund of National Mobile Communications Research Laboratory, Southeast University (2023D11)
  • 摘要: 为了解决6G通感一体化系统(ISAC)中信息传输安全以及频谱紧张的问题,该文提出一种智能反射面(IRS)辅助ISAC系统安全资源分配算法。首先,在IRS-ISAC系统中,用户受到窃听者的恶意攻击时,通过干扰机发射的干扰信号和IRS智能地调节反射相移,重新配置传输环境,以提高系统的物理层安全。其次,考虑在基站和干扰机的最大发射功率约束,IRS反射相移约束以及雷达的信干噪比约束下,建立一个联合优化基站发射波束成形、干扰机预编码和IRS相移的系统保密率最大化优化问题。然后,利用交替优化和半正定松弛(SDR)算法等方法对原非凸优化问题进行转换,求出一个能够得到确定解的凸优化问题。最后提出一种基于交替迭代的安全资源分配算法。仿真结果验证了所提算法的安全性和有效性以及IRS-ISAC系统的优越性。
  • 图  1  系统模型

    图  2  保密率随迭代次数变化曲线

    图  3  系统保密率与基站最大发射功率的关系

    图  4  系统保密率与IRS的反射元素数量的关系

    图  5  雷达SINR与基站发射功率的关系

    1  求解式(10)的交替优化算法

     输入:$ {P_{\text{B}}} $, $ {P_{\text{J}}} $, ${\varGamma _{\text{t}}}$, $ {{\boldsymbol{H}}_{{\text{I, }}m}} $, $ {{\boldsymbol{G}}_{{\text{I, }}m}} $, ${{\boldsymbol{h}}}_{{\text{B, }}m}^{H} $, ${{\boldsymbol{g}}}_{{\text{J, }}m}^{H} $, $\varepsilon $, $L$
     输出:$ {{\boldsymbol{w}}} $, $ {{\boldsymbol{v}}} $, $ {{\boldsymbol{\theta}} } $
     (1) 初始化$ {{{\boldsymbol{w}}}^{(0)}} $, $ {{{\boldsymbol{v}}}^{(0)}} $和$ {{{\boldsymbol{\theta}} }^{(0)}} $;
     (2) 设置迭代次数$ r = 1 $, $ {{\boldsymbol{W}}^{(0)}} = {{\boldsymbol{w}}}{{{\boldsymbol{w}}}^{{\mathrm{H}}} } $, $ {{\boldsymbol{F}}^{(0)}} = {{\boldsymbol{v}}}{{{\boldsymbol{v}}}^{{\mathrm{H}}} } $;
     (3) 重复
     (4)  在给定$ {{{\boldsymbol{\theta}} }^{(r - 1)}} $, $ {{\boldsymbol{W}}^{(r - 1)}} $和$ {{\boldsymbol{F}}^{(r - 1)}} $时,求解式(11);根据
        式(18)和式(19)分别找到最优的$ {t}_{\text{s}}^{(r)} $和$ t_{{\text{e, }}k}^{(r)} $;
     (5)  在给定$ {t}_{\text{s}}^{(r)} $和$ t_{{\text{e, }}k}^{(r)} $时,通过求解式(20),找到最优的$ {{\boldsymbol{W}}}^{(r)} $
        和$ {{\boldsymbol{F}}^{(r)}} $,通过特征值分解得出$ {{{\boldsymbol{w}}}^{(r)}} $和$ {{{\boldsymbol{v}}}^{(r)}} $;
     (6)  在给定$ {{{\boldsymbol{w}}}^{(r)}} $和$ {{{\boldsymbol{v}}}^{(r)}} $时,方法同上,通过求解式(21),找到
        最优的$ {{{\boldsymbol{\theta }}}^{(r)}} $;
     (7) 更新$r{\text{ = }}r{\text{ + 1}} $
     (8) 直到问题式(10)的目标中的目标值下降$ \le \varepsilon $或者$r = L$。
    下载: 导出CSV
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出版历程
  • 收稿日期:  2024-02-04
  • 修回日期:  2024-05-04
  • 网络出版日期:  2024-05-17

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