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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| Principais autores: | , , , , , |
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| Formato: | Artigo |
| Idioma: | Chinês |
| Publicado em: |
Editorial Department of Journal on Communications
2021-08-01
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| Colecção: | Tongxin xuebao |
| Assuntos: | |
| Acesso em linha: | http://www.joconline.com.cn/zh/article/doi/10.11959/j.issn.1000-436x.2021128/ |
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