Deep learning with graph convolutional networks: An overview and latest applications in computational intelligence
Convolutional neural networks (CNNs) have received widespread attention due to their
powerful modeling capabilities and have been successfully applied in natural language …
powerful modeling capabilities and have been successfully applied in natural language …
Graph-based deep learning for communication networks: A survey
W Jiang - Computer Communications, 2022 - Elsevier
Communication networks are important infrastructures in contemporary society. There are
still many challenges that are not fully solved and new solutions are proposed continuously …
still many challenges that are not fully solved and new solutions are proposed continuously …
Dynamic virtual network embedding algorithm based on graph convolution neural network and reinforcement learning
Network virtualization (NV) is a technology with broad application prospects. Virtual network
embedding (VNE) is the core orientation of VN, which aims to provide more flexible …
embedding (VNE) is the core orientation of VN, which aims to provide more flexible …
Coordinated slicing and admission control using multi-agent deep reinforcement learning
M Sulaiman, A Moayyedi, M Ahmadi… - … on Network and …, 2022 - ieeexplore.ieee.org
5G Cloud Radio Access Networks (C-RANs) facilitate new forms of flexible resource
management as dynamic RAN function splitting and placement. Virtualized RAN functions …
management as dynamic RAN function splitting and placement. Virtualized RAN functions …
Gal-vne: Solving the vne problem with global reinforcement learning and local one-shot neural prediction
The NP-hard combinatorial Virtual Network Embedding (VNE) Problem refers to finding the
node and edge mapping between a virtual net (request) and the physical net (resource) …
node and edge mapping between a virtual net (request) and the physical net (resource) …
Artificial algae optimization for Virtual Network Embedding problems in 5G network slicing scenarios
Network slicing enables diverse scenarios within The Fifth Generation of Cellular System
(5G) and beyond systems. Mapping virtual networks to their physical counterparts, known as …
(5G) and beyond systems. Mapping virtual networks to their physical counterparts, known as …
CE-VNE: Constraint escalation virtual network embedding algorithm assisted by graph convolutional networks
With the advent of Industry 5.0, access devices are becoming more and more demanding on
the network. For example, in areas such as financial transactions, drone control and …
the network. For example, in areas such as financial transactions, drone control and …
Energy-efficient VNF deployment for graph-structured SFC based on graph neural network and constrained deep reinforcement learning
QI Siyu, LI Shuopeng, LIN Shaofu… - 2021 22nd Asia …, 2021 - ieeexplore.ieee.org
Network Function Virtualization (NFV), which decouples network functions from hardware
and transforms them into hardware-independent Virtual Network Functions (VNF), is a …
and transforms them into hardware-independent Virtual Network Functions (VNF), is a …
AI-Empowered Virtual Network Embedding: A Comprehensive Survey
For the challenges posed by Internet rigidity, network virtualization (NV) technology emerges
as a pivotal approach, imparting diversity, resilience, and scalability to the evolution of new …
as a pivotal approach, imparting diversity, resilience, and scalability to the evolution of new …
Joint admission control and resource allocation of virtual network embedding via hierarchical deep reinforcement learning
As an essential resource management problem in network virtualization, virtual network
embedding (VNE) aims to allocate the finite resources of physical network to sequentially …
embedding (VNE) aims to allocate the finite resources of physical network to sequentially …