Cargando…
Delay-Tolerance-Based Mobile Data Offloading Using Deep Reinforcement Learning
The demand for mobile data communication has been increasing owing to the diversification of its purposes and the increase in the number of mobile devices accessing mobile networks. Users are experiencing a degradation in communication quality due to mobile network congestion. Therefore, improving t...
Autores principales: | Mochizuki, Daisuke, Abiko, Yu, Saito, Takato, Ikeda, Daizo, Mineno, Hiroshi |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2019
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6480253/ https://www.ncbi.nlm.nih.gov/pubmed/30965633 http://dx.doi.org/10.3390/s19071674 |
Ejemplares similares
-
DRL-OS: A Deep Reinforcement Learning-Based Offloading Scheduler in Mobile Edge Computing
por: Lim, Ducsun, et al.
Publicado: (2022) -
Automatic Detection of Chewing and Swallowing †
por: Nakamura, Akihiro, et al.
Publicado: (2021) -
Deep reinforcement learning based offloading decision algorithm for vehicular edge computing
por: Hu, Xi, et al.
Publicado: (2022) -
Federated Deep Reinforcement Learning-Based Task Offloading and Resource Allocation for Smart Cities in a Mobile Edge Network
por: Chen, Xing, et al.
Publicado: (2022) -
Towards Application-Driven Task Offloading in Edge Computing Based on Deep Reinforcement Learning
por: Sun, Ming, et al.
Publicado: (2021)