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Channel state information estimation for 5G wireless communication systems: recurrent neural networks approach
In this study, a deep learning bidirectional long short-term memory (BiLSTM) recurrent neural network-based channel state information estimator is proposed for 5G orthogonal frequency-division multiplexing systems. The proposed estimator is a pilot-dependent estimator and follows the online learning...
| Autores principales: | , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
PeerJ Inc.
2021
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8409333/ https://www.ncbi.nlm.nih.gov/pubmed/34541310 http://dx.doi.org/10.7717/peerj-cs.682 |