5G Converged Network Resource Allocation Strategy Based on Reinforcement Learning in Edge Cloud Computing Environment

Aiming at the problem that computing power and resources of Mobile Edge Computing (MEC) servers are difficult to process long-period intensive task data, this study proposes a 5G converged network resource allocation strategy based on reinforcement learning in edge cloud computing environment. n ord...

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Detalles Bibliográficos
Autor principal: Li, Xuezhu
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Hindawi 2022
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9124103/
https://www.ncbi.nlm.nih.gov/pubmed/35607465
http://dx.doi.org/10.1155/2022/6174708

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9124103/
https://www.ncbi.nlm.nih.gov/pubmed/35607465
http://dx.doi.org/10.1155/2022/6174708

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