Joint RAN Slicing and Computation Offloading for Autonomous Vehicular Networks: A Learning-Assisted Hierarchical Approach
In this paper, a two-timescale radio access network (RAN) slicing and computing task offloading problem is investigated for a cloud-enabled autonomous vehicular network (C-AVN). We aim at jointly maximizing the communication and computing resource utilization with diverse quality-of-service (QoS) gu...
Guardado en:
Autores principales: | Qiang Ye, Weisen Shi, Kaige Qu, Hongli He, Weihua Zhuang, Xuemin Shen |
---|---|
Formato: | article |
Lenguaje: | EN |
Publicado: |
IEEE
2021
|
Materias: | |
Acceso en línea: | https://doaj.org/article/bd1691e880df4f74b0820bacb4926341 |
Etiquetas: |
Agregar Etiqueta
Sin Etiquetas, Sea el primero en etiquetar este registro!
|
Ejemplares similares
-
Dual Output and High Voltage Gain DC-DC Converter for PV and Fuel Cell Generators Connected to DC Bipolar Microgrids
por: V. Fernao Pires, et al.
Publicado: (2021) -
A Fault-Tolerant Control Approach Based on Image Processing Applied to Three-Tank System
por: Ali Abdo, et al.
Publicado: (2021) -
Bearing Life Prediction With Informed Hyperprior Distribution: A Bayesian Hierarchical and Machine Learning Approach
por: Madhav Mishra, et al.
Publicado: (2021) -
Efficient <italic>(k, α)</italic>-Maximal-Cliques Enumeration Over Uncertain Graphs
por: Jing Bai, et al.
Publicado: (2021) -
An Efficient Local Search Algorithm for the Minimum <inline-formula> <tex-math notation="LaTeX">$k$ </tex-math></inline-formula>-Dominating Set Problem
por: Ruizhi Li, et al.
Publicado: (2018)