Non-Euclidean Graph-Convolution Virtual Network Embedding for Space–Air–Ground Integrated Networks

Non-Euclidean Graph-Convolution Virtual Network Embedding for Space–Air–Ground Integrated Networks

For achieving seamless global coverage and real-time communications while providing intelligent applications with increased quality of service (QoS), AI-enabled space–air–ground integrated networks (SAGINs) have attracted widespread attention from all walks of life. However, high-intensity interacti...

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Bibliographic Details
Main Authors: Ning Chen, Shigen Shen, Youxiang Duan, Siyu Huang, Wei Zhang, Lizhuang Tan
Format: Article
Language:English
Published: MDPI AG 2023-02-01
Series:Drones
Subjects:
future internet architecture
space–air–ground integrated network
resource orchestration
virtual network embedding
graph convolution
non-Euclidean structure
Online Access:https://www.mdpi.com/2504-446X/7/3/165

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https://www.mdpi.com/2504-446X/7/3/165

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