Deep learning for compressed sensing based sparse channel estimation in FDD massive MIMO systems

Deep learning for compressed sensing based sparse channel estimation in FDD massive MIMO systems

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For FDD massive multi-input multi-output (MIMO) downlink system, a novel deep learning method for compressed sensing based sparse channel estimation was proposed, which was called convolutional compressed sensing network (ConCSNet).In the ConCSNet, the convolutional neural network was utilized to so...

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Bibliographic Details
Main Authors: Yuan HUANG, Yigang HE, Yuting WU, Tongtong CHENG, Yongbo SUI, Shuguang NING
Format: Article
Language:zho
Published: Editorial Department of Journal on Communications 2021-08-01
Series:Tongxin xuebao
Subjects:
wireless communication;FDD massive MIMO system;sparse channel estimation;deep learning
Online Access:http://www.joconline.com.cn/thesisDetails#10.11959/j.issn.1000-436x.2021128

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http://www.joconline.com.cn/thesisDetails#10.11959/j.issn.1000-436x.2021128

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