MIMO全双工双向安全通信系统的预编码矩阵设计

雷维嘉; 周洋; 谢显中; 雷宏江

doi:10.11959/j.issn.1000-436x.2020155

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MIMO全双工双向安全通信系统的预编码矩阵设计

学术论文 | 更新时间：2024-06-05

- MIMO全双工双向安全通信系统的预编码矩阵设计
- Design of precoding matrices in MIMO full duplex two-way security communication system
- 通信学报 2020年41卷第10期页码：156-171
- 作者机构：
  
  1. 重庆邮电大学通信与信息工程学院,重庆 400065
  2. 移动通信技术重庆市重点实验室,重庆 400065
  3. 重庆邮电大学光电工程学院,重庆 400065
  4. 西安邮电大学陕西省信息通信网络及安全重点实验室,陕西西安 710121
- 作者简介：
  
  [ "雷维嘉（1969- ），男，云南元谋人，博士，重庆邮电大学教授，主要研究方向为认知无线电、物理层安全" ]
  [ "周洋（1995- ），女，重庆合川人，重庆邮电大学硕士生，主要研究方向为物理层安全" ]
  [ "谢显中（1966- ），男，四川通江人，博士，重庆邮电大学教授，主要研究方向为认知无线电、干扰对齐与MIMO技术、绿色通信等" ]
  [ "雷宏江（1975- ），男，陕西合阳人，博士，重庆邮电大学副教授，主要研究方向为无线系统建模与分析、物理层安全" ]
- 基金信息：
  
  国家自然科学基金资助项目(61971080;61471076);重庆市基础与前沿探索基金资助项目(cstc2017jcyjAX0204);重庆市基础与前沿探索基金资助项目(cstc2018jcyjAX0432);重庆市教委科学技术研究重点基金资助项目(KJZD-K201800603);重庆市教委科学技术研究重点基金资助项目(KJZD-M201900602);陕西省信息通信网络及安全重点实验室开放课题基金资助项目(ICNS201807)
- DOI：10.11959/j.issn.1000-436x.2020155
  中图分类号： TN918
- 网络出版日期：2020-10，
  
  纸质出版日期：2020-10-25
- 稿件说明：
移动端阅览
雷维嘉, 周洋, 谢显中, 等. MIMO全双工双向安全通信系统的预编码矩阵设计[J]. 通信学报, 2020,41(10):156-171.

Weijia LEI, Yang ZHOU, Xianzhong XIE, et al. Design of precoding matrices in MIMO full duplex two-way security communication system[J]. Journal on communications, 2020, 41(10): 156-171.
雷维嘉, 周洋, 谢显中, 等. MIMO全双工双向安全通信系统的预编码矩阵设计[J]. 通信学报, 2020,41(10):156-171. DOI： 10.11959/j.issn.1000-436x.2020155.

Weijia LEI, Yang ZHOU, Xianzhong XIE, et al. Design of precoding matrices in MIMO full duplex two-way security communication system[J]. Journal on communications, 2020, 41(10): 156-171. DOI： 10.11959/j.issn.1000-436x.2020155.

摘要

研究多输入多输出全双工双向通信系统中，合法节点在接收信息的同时向对方发送保密信息，并协同发送人工噪声的物理层安全方案的预编码矩阵设计。针对合法信道、窃听信道的信道状态信息完美的场景，使用DC规划优化信息信号与人工噪声的预编码矩阵以最大化系统保密和速率。对于信道CSI不完美的场景，使用最差准则建模信道，利用加权最小均方误差算法对预编码矩阵进行稳健设计。仿真结果验证了优化算法能有效提高系统的保密和速率。

Abstract

The design of precoding matrices was studied in the multiple input multiple output (MIMO) full-duplex two-way security communication system where legitimate nodes transmit the confidential information accompanied by the artificial noise while receiving information.For the scenario where the perfect channel state information (CSI) of legitimate channels and eavesdropping channels was available

the difference of concave/convex (DC) programming was used to optimize the precoding matrices of the information signal and the artificial noise for the maximization of the secrecy sum rate.For the scenario where the CSI was imperfect

the channels were modeled by using worst-case criterion and the weighted minimum mean square error algorithm was used to get the robust precoding matrices of the information signal and the artificial noise.The simulation results prove that the proposed algorithm can effectively promote the secrecy sum rate of the system.

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references

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