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...
Guardado en:
| Autores principales: | , , , |
|---|---|
| Formato: | Artigo |
| Lenguaje: | Inglês |
| Publicado: |
National Institute of Telecommunications
2023-10-01
|
| Colección: | Journal of Telecommunications and Information Technology |
| Materias: | |
| Acceso en línea: | https://jtit.pl/jtit/article/view/1332 |
| Etiquetas: |
Sin Etiquetas, Sea el primero en etiquetar este registro!
|