Graph neural network-based cell switching for energy optimization in ultra-dense heterogeneous networks

The development of ultra-dense heterogeneous networks (HetNets) will cause a significant rise in energy consumption with large-scale base station (BS) deployments, requiring cellular networks to be more energy efficient to reduce operational expense and promote sustainability. Cell switching is an e...

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Detalles Bibliográficos
Autores principales: Tan, Kang, Bremner, Duncan, Le Kernec, Julien, Sambo, Yusuf, Zhang, Lei, Imran, Muhammad Ali
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2022
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9751127/
https://www.ncbi.nlm.nih.gov/pubmed/36517543
http://dx.doi.org/10.1038/s41598-022-25800-3

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9751127/
https://www.ncbi.nlm.nih.gov/pubmed/36517543
http://dx.doi.org/10.1038/s41598-022-25800-3

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