Computational Offloading in Mobile Edge with Comprehensive and Energy Efficient Cost Function: A Deep Learning Approach

In mobile edge computing (MEC), partial computational offloading can be intelligently investigated to reduce the energy consumption and service delay of user equipment (UE) by dividing a single task into different components. Some of the components execute locally on the UE while the remaining are o...

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Detalles Bibliográficos
Autores principales: Abbas, Ziaul Haq, Ali, Zaiwar, Abbas, Ghulam, Jiao, Lei, Bilal, Muhammad, Suh, Doug-Young, Piran, Md. Jalil
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2021
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8158712/
https://www.ncbi.nlm.nih.gov/pubmed/34069364
http://dx.doi.org/10.3390/s21103523

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8158712/
https://www.ncbi.nlm.nih.gov/pubmed/34069364
http://dx.doi.org/10.3390/s21103523

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