Deep Learning-Powered Beamforming for 5G Massive MIMO Systems
In this study, a ResNeSt-based deep learning approach to beamforming for 5G massive multiple-input multiple-output (MIMO) systems is presented. The ResNeSt-based deep learning method is harnessed to simplify and optimize the beamforming process, consequently improving performance and efficiency of...
Gardado en:
| Principais autores: | , , , |
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| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado: |
National Institute of Telecommunications
2023-10-01
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| Series: | Journal of Telecommunications and Information Technology |
| Assuntos: | |
| Acceso en liña: | https://jtit.pl/jtit/article/view/1332 |
| Tags: |
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