An Unsupervised Machine Learning Approach for UAV-Aided Offloading of 5G Cellular Networks
Today’s terrestrial cellular communications networks face difficulties in serving coexisting users and devices due to the enormous demands of mass connectivity. Further, natural disasters and unexpected events lead to an unpredictable amount of data traffic, thus causing congestion to the network. I...
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| Autors principals: | , , |
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| Format: | Artigo |
| Idioma: | Inglês |
| Publicat: |
MDPI AG
2022-01-01
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| Col·lecció: | Telecom |
| Matèries: | |
| Accés en línia: | https://www.mdpi.com/2673-4001/3/1/5 |
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