Application of Deep Learning in Wireless Networks for Channel Estimation: A Survey

The quality of channel estimation (CE) is critical to the performence of wireless communication systems. In addition to the conventional model based CE methods appeared in the past few decades, deep learning (DL) based CE methods, which is introduced to learn the statistical characteristics of wirel...

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Bibliographic Details
Published in:Journal of physics. Conference series 2022-02, Vol.2203 (1), p.12044
Main Authors: Peng, Guangyao, Zhu, Zhengfa, Liang, Yuanhai
Format: Article
Language:English
Subjects:
Deep learning
Physics
Wireless communication systems
Wireless communications
Wireless networks
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Summary:The quality of channel estimation (CE) is critical to the performence of wireless communication systems. In addition to the conventional model based CE methods appeared in the past few decades, deep learning (DL) based CE methods, which is introduced to learn the statistical characteristics of wireless channels, has emerged as a promising methods in recently years. In this survey, different DL models applied to solve CE problems are discussed firstly, then DL-based CE problems in different wireless communication systems are investigated.
ISSN:1742-6588
1742-6596
DOI:10.1088/1742-6596/2203/1/012044