Uplink assisted downlink channel estimation method of extra-large scale MIMO-OTFS system

Xumin PU; Kaiyuan DENG; Qianbin CHEN

doi:10.11959/j.issn.2096-3750.2023.00351

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Uplink assisted downlink channel estimation method of extra-large scale MIMO-OTFS system

Theory and Technology | 更新时间：2024-08-16

- Uplink assisted downlink channel estimation method of extra-large scale MIMO-OTFS system
- Chinese Journal on Internet of Things Vol. 7, Issue 4, Pages: 28-38(2023)
- 作者机构：
  
  1. 东南大学移动通信国家重点实验室，江苏南京 210096
  2. 重庆邮电大学通信与信息工程学院，重庆 400065
- 作者简介：
- 基金信息：
- DOI：10.11959/j.issn.2096-3750.2023.00351
  CLC： TN929.5
- Online First：2023-12，
  
  Published：20 December 2023
- 稿件说明：
移动端阅览
Xumin PU, Kaiyuan DENG, Qianbin CHEN. Uplink assisted downlink channel estimation method of extra-large scale MIMO-OTFS system[J]. Chinese Journal on Internet of Things, 2023, 7(4): 28-38.
DOI：

Xumin PU, Kaiyuan DENG, Qianbin CHEN. Uplink assisted downlink channel estimation method of extra-large scale MIMO-OTFS system[J]. Chinese Journal on Internet of Things, 2023, 7(4): 28-38. DOI： 10.11959/j.issn.2096-3750.2023.00351.

摘要

针对超大规模多输入多输出（MIMO

multiple-input multiple-output）正交时频空间（OTFS

orthogonal time frequency space）系统，提出了一种适用于高速移动场景的低复杂度下行信道估计方法。不同于现有研究，该方法考虑了超大规模MIMO-OTFS系统显著的空间非平稳特性，基于可视路径区域提出了一种低复杂度的增强型稀疏正交匹配追踪算法，利用频分双工（FDD

frequency-division duplex）模式中上下行信道的映射关系实现上行辅助的下行信道估计。仿真结果表明，所提上行辅助的下行信道估计方法能够充分考虑信道非平稳特性，在降低计算复杂度的同时显著提高信道估计性能，并且在高速移动物联网场景下表现良好。

Abstract

A low complexity downlink channel estimation method for high-speed mobile scenarios was proposed for the extra-large scale multiple-input multiple-output (MIMO) orthogonal time-frequency space (OTFS) system.Different from the existing studies

the proposed method considers the significant spatial non-stationary characteristics of extra-large scale MIMO-OTFS system.Based on the visible path region

an enhanced sparse orthogonal matching pursuit (OMP) algorithm with low complexity was proposed

uplink-assisted downlink channel estimation was achieved using the mapping relationship between the uplink and downlink channels in the frequency-division duplex (FDD) mode.Simulation results show that the proposed uplink-assisted downlink channel estimation method can accurately represent the non-stationary of the system

and achieve significant improvement in the channel estimation performance while reducing the computational complexity

and still perform well in high-mobility IoT scenarios.

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Keywords

references

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