A survey of network automation for industrial internet-of-things toward industry 5.0

HR Chi, CK Wu, NF Huang, KF Tsang… - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
Network automation has been bred by the deployment of 5G based Industrial Internet-of-
Things (IIoT) in Industry 4.0, and further approaching pervasive AI and human-robot …

An optical communication's perspective on machine learning and its applications

FN Khan, Q Fan, C Lu, APT Lau - Journal of Lightwave …, 2019 - ieeexplore.ieee.org
Machine learning (ML) has disrupted a wide range of science and engineering disciplines in
recent years. ML applications in optical communications and networking are also gaining …

6G and beyond: The future of wireless communications systems

IF Akyildiz, A Kak, S Nie - IEEE access, 2020 - ieeexplore.ieee.org
6G and beyond will fulfill the requirements of a fully connected world and provide ubiquitous
wireless connectivity for all. Transformative solutions are expected to drive the surge for …

A survey of networking applications applying the software defined networking concept based on machine learning

Y Zhao, Y Li, X Zhang, G Geng, W Zhang, Y Sun - IEEE access, 2019 - ieeexplore.ieee.org
The main task of future networks is to build, as much as possible, intelligent networking
architectures for intellectualization, activation, and customization. Software-defined …

[HTML][HTML] Hybrid SDN evolution: A comprehensive survey of the state-of-the-art

S Khorsandroo, AG Sánchez, AS Tosun, JM Arco… - Computer Networks, 2021 - Elsevier
Abstract Software-Defined Networking (SDN) is an evolutionary networking paradigm which
has been adopted by large network and cloud providers, among which are Tech Giants …

Machine learning techniques for quality of transmission estimation in optical networks

Y Pointurier - Journal of Optical Communications and …, 2021 - ieeexplore.ieee.org
The estimation of the quality of transmission (QoT) in optical systems with machine learning
(ML) has recently been the focus of a large body of research. We discuss the sources of …

Survey on machine learning for traffic-driven service provisioning in optical networks

T Panayiotou, M Michalopoulou… - … Surveys & Tutorials, 2023 - ieeexplore.ieee.org
The unprecedented growth of the global Internet traffic, coupled with the large spatio-
temporal fluctuations that create, to some extent, predictable tidal traffic conditions, are …

Machine learning for intelligent optical networks: A comprehensive survey

R Gu, Z Yang, Y Ji - Journal of Network and Computer Applications, 2020 - Elsevier
With the rapid development of Internet and communication systems, both in the aspect of
services and technologies, communication networks have been suffering increasing …

QR-SDN: Towards reinforcement learning states, actions, and rewards for direct flow routing in software-defined networks

J Rischke, P Sossalla, H Salah, FHP Fitzek… - IEEE …, 2020 - ieeexplore.ieee.org
Flow routing can achieve fine-grained network performance optimizations by routing distinct
packet traffic flows over different network paths. While the centralized control of Software …

Networking systems of AI: On the convergence of computing and communications

L Song, X Hu, G Zhang, P Spachos… - IEEE Internet of …, 2022 - ieeexplore.ieee.org
Artificial intelligence (AI) and 5G system have been two hot technical areas that are
changing the world. On the deep convergence of computing and communication, networking …