• 主题
高级搜索  >
历史搜索 清空历史
首页> 中文期刊>中国通信 >Capacity Optimization Using Augmented Lagrange Method in Intelligent Reflecting Surface-Based MIMO Communication Systems

Capacity Optimization Using Augmented Lagrange Method in Intelligent Reflecting Surface-Based MIMO Communication Systems

     
页面导航
  • 摘要
  • 著录项
  • 相似文献
  • 相关主题

摘要

In this paper,we present an algorithm for capacity optimization in intelligent reflecting surface(IRS)-based multiple-input multiple-output(MIMO)communication systems.To maximize the capacity of elements in IRS,we use augmented Lagrange method with the equivalent transformations on the covariance matrix and reflection matrix constraints.This results an adjustable phase shift on the incident signal.Furthermore,we reshape the complex-valued covariance matrix and reflection matrix to a vector for the ease of calculating partial derivatives to find the search direction.Then,the quasi-Newton updates and modified Broyden-Fletcher-Goldfarb-Shano(BFGS)method in the complex domain form are used to find the local minimum.Finally,numerical simulation results demonstrate that our proposed IRS-aided system using the algorithm performs better than the state-of-the-art and the conventional communication systems.

著录项

  • 来源
    《中国通信》|2020年第12期|123-138|共16页
  • 作者

    Daina Chang; Hao Jiang; Jie Zhou; Hongming Zhang; Mithun Mukherjee;

  • 作者单位

    College of Electronic and Information Engineering Nanjing University of Information Science and Technology Nanjing 210044 China;

    College of Artificial Intelligence Nanjing University of Information Science and Technology Nanjing 210044 China;

    National Mobile Communications Research Laboratory Southeast University Nanjing 210096 China;

    College of Artificial Intelligence Nanjing University of Information Science and Technology Nanjing 210044 China;

    School of Information and Communication Engineering Beijing University of Posts and Telecommunications Beijing 100876 China;

    College of Artificial Intelligence Nanjing University of Information Science and Technology Nanjing 210044 China;

  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

相似文献

  • 中文文献
  • 外文文献
  • 专利
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