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 …

Graph neural networks for intelligent modelling in network management and orchestration: a survey on communications

P Tam, I Song, S Kang, S Ros, S Kim - Electronics, 2022 - mdpi.com
The advancing applications based on machine learning and deep learning in
communication networks have been exponentially increasing in the system architectures of …

Service-oriented network resource orchestration in space-air-ground integrated network

J He, N Cheng, Z Yin, C Zhou, H Zhou… - IEEE Transactions …, 2023 - ieeexplore.ieee.org
Space-air-ground integrated networks (SAGINs) are envisioned to provide seamless
coverage and enhanced flexibility compared with traditional terrestrial mobile networks …

B5GEMINI: AI-driven network digital twin

A Mozo, A Karamchandani, S Gómez-Canaval, M Sanz… - Sensors, 2022 - mdpi.com
Network Digital Twin (NDT) is a new technology that builds on the concept of Digital Twins
(DT) to create a virtual representation of the physical objects of a telecommunications …

Large-scale service function chaining management and orchestration in smart city

P Tam, S Kang, S Ros, I Song, S Kim - Electronics, 2023 - mdpi.com
In the core networking of smart cities, mobile network operators need solutions to reflect
service function chaining (SFC) orchestration policies while ensuring efficient resource …

Deep Q‐network‐based auto scaling for service in a multi‐access edge computing environment

DY Lee, SY Jeong, KC Ko, JH Yoo… - International Journal of …, 2021 - Wiley Online Library
In 5G networks, it is necessary to provide services while meeting various service
requirements, such as high data rates and low latency, in response to dynamic network …

Empowering digital twin for future networks with graph neural networks: Overview, enabling technologies, challenges, and opportunities

DT Ngo, O Aouedi, K Piamrat, T Hassan… - Future internet, 2023 - mdpi.com
As the complexity and scale of modern networks continue to grow, the need for efficient,
secure management, and optimization becomes increasingly vital. Digital twin (DT) …

A reinforcement learning approach for virtual network function chaining and sharing in softwarized networks

G KIbalya, J Serrat-Fernández… - IEEE transactions on …, 2022 - ieeexplore.ieee.org
Cognizant of the ease with which softwarized functions can be dynamically scaled according
to real time resource requirements, and the fact that multiple services can have common …

Capacitated Shortest Path Tour Based Service Chaining Adaptive to Changes of Service Demand and Network Topology

T Hara, M Sasabe - IEEE Transactions on Network and Service …, 2024 - ieeexplore.ieee.org
To achieve sustainable networking, network service providers have expressed significant
interest in employing automated network operations that integrate network functions …

Sequential deep learning architectures for anomaly detection in virtual network function chains

C Lee, J Hong, DN Heo, H Choi - … International Conference on …, 2021 - ieeexplore.ieee.org
Software-defined networking (SDN) and network function virtualization (NFV) have enabled
the efficient provision of network service. However, they also raised new tasks to monitor …