Efficient Data Transmission With Compressed Channel Estimation in RIS-Assisted mmWave MIMO Systems

被引：0

作者：

Zhao, Wuqiong ^{[1
,2
,3
]}

Dai, Yifang ^{[1
,2
,3
]}

You, You ^{[1
,2
,3
]}

Zhang, Li ^{[4
]}

You, Xiaohu ^{[1
,2
,3
]}

Zhang, Chuan ^{[1
,2
,3
]}

机构：

[1] Southeast Univ, LEADS, Natl Mobile Commun Res Lab, Nanjing 211189, Peoples R China

[2] Southeast Univ, Frontiers Sci Ctr Mobile Informat Commun & Secur, Nanjing 211189, Peoples R China

[3] Purple Mt Labs, Nanjing 211100, Peoples R China

[4] Univ Leeds, Sch Elect & Elect Engn, Leeds LS2 9JT, England

来源：

IEEE WIRELESS COMMUNICATIONS LETTERS | 2024年 / 13卷 / 11期

关键词：

Reflection; Vectors; Radio frequency; Millimeter wave communication; Array signal processing; Reconfigurable intelligent surfaces; MIMO communication; Reconfigurable intelligent surface (RIS); channel estimation (CE); beamforming design; millimeter wave (mmWave); DESIGN;

D O I：

10.1109/LWC.2024.3425150

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

To improve wireless connectivity, reconfigurable intelligent surface (RIS) offers an energy-efficient solution in millimeter wave (mmWave) multi-input multi-output (MIMO) systems. However, the achievable spectrum efficiency (SE) has been limited by challenges associated with channel estimation (CE) and hybrid beamforming design. To address these issues, we propose an efficient data transmission (DT) scheme with two-stage compressed sensing (CS)-based CE by exploiting the sparse angular domain channel structure and pruning insignificant components. Simulation results demonstrate that the proposed method achieves reduction in pilot overhead and complexity of CE, and higher SE of DT via iterative optimization.

引用

页码：2965 / 2969

页数：5