通信学报 ›› 2019, Vol. 40 ›› Issue (6): 66-73.doi: 10.11959/j.issn.1000-436x.2019114

• 学术论文 • 上一篇    下一篇

人工噪声策略的临界信噪比和功率分配研究

邓浩1,王慧明2   

  1. 1 河南大学物理与电子学院,河南 开封 450004
    2 西安交通大学电子与信息工程学院,陕西 西安 710049
  • 修回日期:2019-04-15 出版日期:2019-06-25 发布日期:2019-07-04
  • 作者简介:邓浩(1982- ),男,湖北恩施人,博士,河南大学副教授、硕士生导师,主要研究方向为物理层安全、阵列信号处理。|王慧明(1983- ),男,江苏溧阳人,博士,西安交通大学教授、博士生导师,主要研究方向为高效安全的无线通信技术。
  • 基金资助:
    国家自然科学基金资助项目(61640005);国家自然科学基金资助项目(61671364);陕西省青年科技新星基金资助项目(2015KJXX-01)

Research on critical SNR and power allocation of artificial noise assisted secure transmission

DENG Hao1,WANG Huiming2   

  1. 1 School of Physics and Electronics,Henan University,Kaifeng 450004,China
    2 School of Electronics and Information Engineering ,Xi’an Jiaotong University,Xi’an 710049,China
  • Revised:2019-04-15 Online:2019-06-25 Published:2019-07-04
  • Supported by:
    The National Natural Science Foundation of China(61640005);The National Natural Science Foundation of China(61671364);The Young Talent Support Fund of Science and Technology of Shaanxi Province(2015KJXX-01)

摘要:

给出了多输入单输出窃听链路中人工噪声策略安全性能的统一分析。通过对私密信号和人工噪声之间最优功率分配的研究,发现人工噪声策略不是在所有情况下都能有效提升系统的安全性,同时给出了人工噪声工作的临界信噪比。此外,基于保密速率的下界得出了适应任意信噪比的功率分配表达式,据此推导出了未知窃听用户统计信道信息情况下的功率分配结果。仿真结果显示,相对于平均功率分配策略,所提功率分配方案可以有效增大系统的保密速率。

关键词: 物理层安全, 人工噪声, 保密速率, 最优功率分配

Abstract:

A comprehensive performance analysis of artificial noise (AN) assisted secure transmission in multiple-input single-output (MISO) wiretap channels was presented.It was shown that the AN scheme did not always improve the security,and provided an exact signal-to-noise ratio (SNR) threshold below which AN did not work.An explicit result of the optimal power allocation (OPA) using the lower bound to the ergodic secrecy rate (ESR) was presented and the OPA for the worst case without the knowledge of the eavesdropper’s relative distance was also provided.Simulations demonstrate that the proposed power allocation result achieves a higher ESR than the equal one.

Key words: physical layer security, artificial noise, secrecy rate, optimal power allocation

中图分类号: 

  • TN919.3