[HTML][HTML] 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 …
intelligent applications with increased quality of service (QoS), AI-enabled space–air …
Space-air-ground integrated multi-domain network resource orchestration based on virtual network architecture: A DRL method
Traditional ground wireless communication networks cannot provide high-quality services
for artificial intelligence (AI) applications such as intelligent transportation systems (ITS) due …
for artificial intelligence (AI) applications such as intelligent transportation systems (ITS) due …
Efficient virtual network embedding with node ranking and intelligent link mapping
Network virtualization (NV) is emerged as a key enabler for the success of the future
virtualized networks (eg 5G networks and smart Internet of Things (IoT)). Virtual Network …
virtualized networks (eg 5G networks and smart Internet of Things (IoT)). Virtual Network …
A multidomain virtual network embedding algorithm based on multiobjective optimization for Internet of Drones architecture in Industry 4.0
Unmanned aerial vehicle (UAV) has a broad application prospect in the future, especially in
the Industry 4.0. The development of Internet of Drones (IoD) makes UAV operation more …
the Industry 4.0. The development of Internet of Drones (IoD) makes UAV operation more …
Automatic virtual network embedding: A deep reinforcement learning approach with graph convolutional networks
Z Yan, J Ge, Y Wu, L Li, T Li - IEEE Journal on Selected Areas …, 2020 - ieeexplore.ieee.org
Virtual network embedding arranges virtual network services onto substrate network
components. The performance of embedding algorithms determines the effectiveness and …
components. The performance of embedding algorithms determines the effectiveness and …
[HTML][HTML] DVNE-DRL: dynamic virtual network embedding algorithm based on deep reinforcement learning
X Xiao - Scientific Reports, 2023 - nature.com
Virtual network embedding (VNE), as the key challenge of network resource management
technology, lies in the contradiction between online embedding decision and pursuing long …
technology, lies in the contradiction between online embedding decision and pursuing long …
Spectral graph theory-based virtual network embedding for vehicular fog computing: A deep reinforcement learning architecture
In the intelligent transportation system (ITS), the vehicular fog computing network (VFCN)
can effectively alleviate the bottleneck existing in the cloud computing framework, such as …
can effectively alleviate the bottleneck existing in the cloud computing framework, such as …
Security-aware Resource Allocation Scheme Based on DRL in Cloud-Edge-Terminal Cooperative Vehicular Network
Virtual network embedding (VNE) refers to the process of mapping virtual networks onto
physical networks, which can improve the utilization and flexibility of network resources …
physical networks, which can improve the utilization and flexibility of network resources …
On the use of graph neural networks for virtual network embedding
Resource allocation of 5G network slices is one of the most important challenges for network
operators. It can be formulated using the Virtual Network Embedding (VNE) problem, which …
operators. It can be formulated using the Virtual Network Embedding (VNE) problem, which …
D-vine: Dynamic virtual network embedding in non-terrestrial networks
In this paper, we address the virtual network embedding (VNE) problem in non-terrestrial
networks (NTNs) enabling dynamic changes in the virtual network function (VNF) …
networks (NTNs) enabling dynamic changes in the virtual network function (VNF) …