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

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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Bibliografski detalji

Glavni autori:	Yuan HUANG, Yigang HE, Yuting WU, Tongtong CHENG, Yongbo SUI, Shuguang NING
Format:	Artigo
Jezik:	Chinês
Izdano:	Editorial Department of Journal on Communications 2021-08-01
Serija:	Tongxin xuebao
Teme:	wireless communication;FDD massive MIMO system;sparse channel estimation;deep learning
Online pristup:	http://www.joconline.com.cn/thesisDetails#10.11959/j.issn.1000-436x.2021128
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