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U-MLP-Based Hybrid-Field Channel Estimation for XL-RIS Assisted Millimeter-Wave MIMO Systems

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成果类型:
期刊论文
作者:
Xiao, Jian;Wang, Ji;Chen, Zhao;Huang, Guangming
作者机构:
[Chen, Zhao] Beijing National Research Center for Information Science and Technology, Tsinghua University, Beijing, China
[Xiao, Jian; Wang, Ji; Huang, Guangming] Department of Electronics and Information Engineering, College of Physical Science and Technology, Central China Normal University, Wuhan, China
语种:
英文
期刊:
IEEE WIRELESS COMMUNICATIONS LETTERS
ISSN:
2162-2337
年:
2023
卷:
12
期:
6
页码:
1042-1046
基金类别:
10.13039/501100001809-National Natural Science Foundation of China (Grant Number: 62101205) Key Research and Development Program of Hubei Province (Grant Number: 2021BAA170) 10.13039/501100003819-Natural Science Foundation of Hubei Province (Grant Number: 2021CFB248)
机构署名:
本校为其他机构
院系归属:
物理科学与技术学院
摘要:
In this letter, we study the hybrid-field cascaded channel estimation in the extremely large-scale RIS (XL-RIS) assisted multi-user millimeter wave systems, where the cascaded channel is composed of far-field and near-field radiation components, and has spatial non-stationarity caused by visibility regions. We propose a U-shaped network based on the dedicated multilayer perceptron (MLP) architecture, termed as U-MLP, to realize the high-dimensional channel reconstruction with limited pilot overhead. In U-MLP, a basic feature extraction module-Permutator is designed to capture the long-range de...

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