A Turbo Q-Learning (TQL) for Energy Efficiency Optimization in Heterogeneous Networks

In order to maximize energy efficiency in heterogeneous networks (HetNets), a turbo Q-Learning (TQL) combined with multistage decision process and tabular Q-Learning is proposed to optimize the resource configuration. For the large dimensions of action space, the problem of energy efficiency optimiz...

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Detalles Bibliográficos
Autores principales: Wang, Xiumin, Li, Lei, Li, Jun, Li, Zhengquan
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2020
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7597261/
https://www.ncbi.nlm.nih.gov/pubmed/33286726
http://dx.doi.org/10.3390/e22090957

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7597261/
https://www.ncbi.nlm.nih.gov/pubmed/33286726
http://dx.doi.org/10.3390/e22090957

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