首页> 中文期刊> 《中国通信:英文版》 >Secrecy Rate Analysis for Reconfigurable Intelligent Surface-Assisted MIMO Communications with Statistical CSI

Secrecy Rate Analysis for Reconfigurable Intelligent Surface-Assisted MIMO Communications with Statistical CSI

         

摘要

In this paper,a reconfigurable intelligent surface(RIS)-assisted MIMO wireless secure communication system is considered,in which a base station(BS)equipped with multiple antennas exploits statistical channel state information to communicate with a legitimate multi-antenna user,in the presence of an eavesdropper,also equipped with multiple antennas.We firstly obtain an analytical expression of the ergodic secrecy rate based on the results of largedimensional random matrix theory.Then,a jointly alternating optimization algorithm with the method of Taylor series expansion and the projected gradient ascent method is proposed to design the transmit covariance matrix at the BS,as well as the diagonal phaseshifting matrix to maximize the ergodic secrecy rate.Simulations are conducted to demonstrate the accuracy of the derived analytical expressions,as well as the superior performance of our proposed algorithm.

著录项

  • 来源
    《中国通信:英文版》 |2021年第3期|52-62|共11页
  • 作者单位

    Jiangsu Key Laboratory of Wireless Communications;

    Nanjing University of Posts and Telecommunications;

    Nanjing 210003;

    China;

    Engineering Research Center of Health Service System Based on Ubiquitous Wireless Networks;

    Ministry of Education;

    Nanjing University of Posts and Telecommunications;

    Nanjing 210003;

    China;

    School of Information Science and Technology;

    Nantong University;

    Nantong 226019;

    China;

    Research Center of Networks and Communications;

    Peng Cheng Laboratory;

    Shenzhen 518066;

    China;

    School of Electronics and Communication Engineering;

    Sun Yat-sen University;

    Guangzhou 510006;

    China;

  • 原文格式 PDF
  • 正文语种 chi
  • 中图分类 TN9;
  • 关键词

    reconfigurable intelligent surface; ergodic secrecy rate; statistical CSI; alternating optimization algorithm;

相似文献

  • 中文文献
  • 外文文献
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号