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非理想信道下基于人工噪声的密集异构蜂窝网安全传输方案

许耘嘉 黄开枝 李军 陈亚军

许耘嘉, 黄开枝, 李军, 陈亚军. 非理想信道下基于人工噪声的密集异构蜂窝网安全传输方案[J]. 电子与信息学报, 2018, 40(10): 2323-2330. doi: 10.11999/JEIT180003
引用本文: 许耘嘉, 黄开枝, 李军, 陈亚军. 非理想信道下基于人工噪声的密集异构蜂窝网安全传输方案[J]. 电子与信息学报, 2018, 40(10): 2323-2330. doi: 10.11999/JEIT180003
Yunjia XU, Kaizhi HUANG, Jun LI, Yajun CHEN. Artificial Noise Aided Secure Transmission in Dense Heterogeneous Cellular Networks with Imperfect Channel State Information[J]. Journal of Electronics & Information Technology, 2018, 40(10): 2323-2330. doi: 10.11999/JEIT180003
Citation: Yunjia XU, Kaizhi HUANG, Jun LI, Yajun CHEN. Artificial Noise Aided Secure Transmission in Dense Heterogeneous Cellular Networks with Imperfect Channel State Information[J]. Journal of Electronics & Information Technology, 2018, 40(10): 2323-2330. doi: 10.11999/JEIT180003

非理想信道下基于人工噪声的密集异构蜂窝网安全传输方案

doi: 10.11999/JEIT180003
基金项目: 国家自然科学基金(61379006, 61401510, 61521003)
详细信息
    作者简介:

    许耘嘉:女,1993年生,博士生,研究方向为移动通信安全、物理层安全

    黄开枝:女,1973年生,教授,博士生导师,研究方向为移动通信安全、物理层安全

    李军:男,1981年生,工程师,研究方向为移动通信终端

    通讯作者:

    黄开枝  huangkaizhi@tsinghua.org.cn

  • 中图分类号: TN929.5

Artificial Noise Aided Secure Transmission in Dense Heterogeneous Cellular Networks with Imperfect Channel State Information

Funds: The National Natural Science Foundation of China (61379006, 61401510, 61521003)
  • 摘要: 针对密集异构蜂窝网在非理想信道状态信息条件下的安全传输问题,该文分析了人工噪声对通信的可靠性和安全性的影响,在此基础上提出功率分配优化模型,在不同信道估计精度条件下给出了最优的功率分配因子。首先,考虑信道估计误差对合法信号传输以及人工噪声泄露的影响,推导了典型通信链路的连通中断概率和安全中断概率。然后,在安全性和可靠性约束条件下建立功率分配优化模型以最大化系统安全吞吐量,并通过K维联合搜索算法得到每层网络的最优功率分配因子。最后,仿真结果表明系统设置最优功率分配因子时,人工噪声方案可提升约15%的安全吞吐量。
  • 图  1  安全吞吐量和功率分配因子的关系

    图  2  COP与功率分配因子的关系

    图  3  SOP与功率分配因子的关系

    图  4  COP, SOP和安全吞吐量与 $\rho $ 的关系

    图  5  COP和SOP和微基站密度的关系

    图  6  安全吞吐量和微基站密度的关系

    表  1  功率分配因子最优值搜素算法

    (1) 输入:K, ${\rho _i}$, ${\alpha _i}$, ${P_i}$, ${\lambda _i}$, ${\lambda _e}$, ${R_b}$, ${R_s}$, ${\partial _1}$, ${\partial _2}$, $\Delta {\kappa _1},\Delta {\kappa _2}, ·\!·\!· ,\Delta {\kappa _K}$;
    (2) 初始化: ${C_1} = {\rm{1}}/\Delta {\kappa _1}, ·\!·\!· ,{C_K} = {\rm{1}}/\Delta {\kappa _K}$, ${\xi ^ \circ } = 0$;
    (3) for ${c_i} = 1:{C_i}\;$do
    (4) 计算 ${\mathcal{A}_i}$, $P_{\rm co}^i$和 $P_{\rm so}^i$,在约束条件 $P_{\rm co}^i \le {\partial _1},\;\;P_{\rm so}^i \le {\partial _2}$下更新集 合 $\left( {{{\hat \kappa }_1},{{\hat \kappa }_2}, ·\!·\!· ,{{\hat \kappa }_K}} \right)$;
    (5) end for
    (6) 设置 $\varOmega $为集合 $\left( {{{\hat \kappa }_1},{{\hat \kappa }_2}, ·\!·\!· ,{{\hat \kappa }_K}} \right)$中的元素数量,
    $\varOmega = {\rm{Card}}\left( {{{\hat \kappa }_1}} \right),$ ${\rm{Card}}\left( {{{\hat \kappa }_2}} \right), ·\!·\!· , = {\rm{Card}}\left( {{{\hat \kappa }_K}} \right)$
    (7) for $\omega = 1:\varOmega $  do
    (8) 将集合 $\left( {{{\hat \kappa }_1},{{\hat \kappa }_2}, ·\!·\!· ,{{\hat \kappa }_K}} \right)$中的元素 $\kappa _1^\omega ,\kappa _2^\omega , ·\!·\!· ,\kappa _K^\omega $代入式(21)计算 $\xi $;
    (9) 当 $\xi > {\xi ^ \circ }$时,令 ${\xi ^ \circ } = \xi $, $\kappa _1^* = \kappa _1^\omega ,\kappa _2^\omega , ·\!·\!· ,\kappa _K^* = \kappa _K^\omega $;
    (10) end for
    (11) 输出:最优值 $\kappa _1^*,\kappa _2^*, ·\!·\!· ,\kappa _K^*$。
    下载: 导出CSV
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出版历程
  • 收稿日期:  2018-01-02
  • 修回日期:  2018-05-23
  • 网络出版日期:  2018-07-30
  • 刊出日期:  2018-10-01

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