低导频开销RIS辅助毫米波MIMO系统参数化信道估计方案

李双志; 杨睿棋; 郭新; 黄赛

doi:10.11959/j.issn.1000-436x.2024157

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低导频开销RIS辅助毫米波MIMO系统参数化信道估计方案

学术论文 | 更新时间：2024-10-10

- 低导频开销RIS辅助毫米波MIMO系统参数化信道估计方案
- Low pilot overhead parametric channel estimation scheme for RIS-assisted mmWave MIMO systems
- 通信学报 2024年45卷第9期页码：82-91
- 作者机构：
  
  1.郑州大学电气与信息工程学院，河南郑州 450001
  2.北京邮电大学泛网无线通信教育部重点实验室，北京 100876
- 作者简介：
  
  [ "李双志（1990- ），男，河南南阳人，博士，郑州大学副教授、硕士生导师，主要研究方向为无线通信信号处理等。" ]
  [ "杨睿棋（1997- ），男，河南郑州人，郑州大学硕士生，主要研究方向为毫米波MIMO、智能反射面等。" ]
  [ "郭新（1988- ），女，河南周口人，博士，郑州大学副教授、硕士生导师，主要研究方向为多媒体信号处理等。" ]
  [ "黄赛（1989- ），男，河北保定人，博士，北京邮电大学副教授、博士生导师，主要研究方向为基于机器学习的智能信号处理、通用无线信号快速检测与深度识别等。" ]
- 基金信息：
  
  国家自然科学基金资助项目(61901416);河南省青年人才托举工程基金资助项目(2024HYTP026);河南省自然科学基金资助项目(242300420269);河南省科技攻关基金资助项目(242102211017)
- DOI：10.11959/j.issn.1000-436x.2024157
  中图分类号： TN928
- 收稿：2024-02-18，
  
  修回：2024-06-28，
  
  纸质出版：2024-09-25
- 稿件说明：
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李双志,杨睿棋,郭新等.低导频开销RIS辅助毫米波MIMO系统参数化信道估计方案[J].通信学报,2024,45(09):82-91.

LI Shuangzhi,YANG Ruiqi,GUO Xin,et al.Low pilot overhead parametric channel estimation scheme for RIS-assisted mmWave MIMO systems[J].Journal on Communications,2024,45(09):82-91.
李双志,杨睿棋,郭新等.低导频开销RIS辅助毫米波MIMO系统参数化信道估计方案[J].通信学报,2024,45(09):82-91. DOI： 10.11959/j.issn.1000-436x.2024157.

LI Shuangzhi,YANG Ruiqi,GUO Xin,et al.Low pilot overhead parametric channel estimation scheme for RIS-assisted mmWave MIMO systems[J].Journal on Communications,2024,45(09):82-91. DOI： 10.11959/j.issn.1000-436x.2024157.

摘要

为了解决可重构智能超表面（RIS）辅助毫米波多输入多输出（MIMO）系统信道状态信息及时获取问题，提出了一种基于张量分解的信道估计方案。首先，通过使用少量无源反射单元和构建相移矩阵，设计了一种低导频开销的信道训练机制。然后，通过利用范德蒙德结构约束的张量典范平行因子分解，推导出一种非迭代的信道估计算法。理论分析表明，该方案的最小导频开销仅取决于反射链路子信道路径数乘积，且具有较低的计算复杂度。仿真结果进一步验证了所提方案相较于其他方法的优越性。

Abstract

To address the timely acquisition of channel state information in reconfigurable intelligent surface (RIS)-assisted millimetre wave (mmWave) multiple-input multiple-output (MIMO) systems

a channel estimation scheme based on tensor decomposition was proposed. Firstly

a channel training mechanism with low pilot overhead was designed using a few passive reflection units and constructing a phase shift matrix. Then

a non-iterative channel estimation algorithm was derived using tensor canonical polyadic decomposition with Vandermonde structure constraints. Theoretical analysis indicated that the minimum pilot overhead of the proposed scheme only depended on the product of the subchannel path numbers of the reflection links and exhibited low computational complexity. Simulation results further verify the superiority of the proposed scheme compared to other methods.

关键词

Keywords

references

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