基于稀疏角域的6G信道估计智能反射面算法
RIS algorithm for 6G channel estimation based on sparse angle domain
朱文杰 1伏胜洋 1姚雨晨1
作者信息
- 1. 湖北师范大学 计算机与信息工程学院,湖北 黄石 435000
- 折叠
摘要
智能反射面(Reconfigurable Intelligent Surface,RIS)有着操纵性强、能耗低、方便部署等优势,已成为6G(第六代移动通信)的关键技术.研究了关于智能反射面的信道估计算法,对于传统算法在传播时路径会因角度原因发生偏移的情况,采用了 Tucker分解的稀疏角度域高阶奇异值分解(High Order Singular Value Decomposition,HOSVD)信道估计算法来解决路径偏移的问题.为了验证所提出算法的鲁棒性,对比了传统的交替最小二乘法信道估计算法,可以得到不管是在用户数量、传播的路径偏移上都能取得比传统的信道估计算法更好的归一化最小均方误差(Normalized Mean Squared Error,NMSE)效果.
Abstract
Reconfigurable Intelligent Surface(RIS)has become a key technology of 6G(sixth generation mobile communication),due to its strong maneuverability,low energy consumption and easy deployment.Based on the study of the channel estimation algorithm for intelligent reflective surfaces,this paper uses and the High Order Singular Value Decomposition(HOSVD)channel estimation algorithm based on Tucker decomposition to solve the problem of path offset,considering that the path will be shifted due to angle during propagation of traditional algorithms.In order to verify the robustness of the proposed algorithm,it compares HOSVD with the traditional alternating least squares channel estimation algorithm.The result shows that the normalized mean squared error(NMSE)effect is better than the traditional channel estimation algorithm in terms of the number of users and the path offset of propagation.
关键词
智能反射面/稀疏角域/Tucker分解/归一化最小均方误差/信道估计Key words
reconfigurable intelligent surface/sparse corner field/tucker decomposition/normalized mean square error/channel estimate引用本文复制引用
基金项目
国家自然科学基金(62172144)
湖北省教育厅中青年人才科技项目(Q20192501)
湖北师范大学人才引进项目(1000002)
研究生科研创新项目(2023)(2023Z101)
出版年
2024
NETL
NSTL
万方数据