A Reinforcement Learning Framework for Knowledge-Defined Networking

D Zeman, I Zelinka, M Voznak - 2023 15th International …, 2023 - ieeexplore.ieee.org
The deployment of 6G networks is expected to bring fundamental improvements to network
architectures and a focus on incorporating artificial intelligence (AI) technologies. The paper …

Knowledge-defined networking

A Mestres, A Rodriguez-Natal, J Carner… - ACM SIGCOMM …, 2017 - dl.acm.org
The research community has considered in the past the application of Artificial Intelligence
(AI) techniques to control and operate networks. A notable example is the Knowledge Plane …

Knowledge-defined networking: a machine learning based approach for network and traffic modeling

AM Sugrañes - 2017 - dialnet.unirioja.es
The research community has considered in the past the application of Machine Learning
(ML) techniques to control and operate networks. A notable example is the Knowledge …

On end-to-end intelligent automation of 6G networks

A Moubayed, A Shami, A Al-Dulaimi - Future Internet, 2022 - mdpi.com
The digital transformation of businesses and services is currently in full force, opening the
world to a new set of unique challenges and opportunities. In this context, 6G promises to be …

Knowledge-defined networking: a machine learning based approach for network and traffic modeling

A Mestres Sugrañes - 2017 - upcommons.upc.edu
The research community has considered in the past the application of Machine Learning
(ML) techniques to control and operate networks. A notable example is the Knowledge …

A comprehensive survey on knowledge-defined networking

PADSN Wijesekara, S Gunawardena - Telecom, 2023 - mdpi.com
Traditional networking is hardware-based, having the control plane coupled with the data
plane. Software-Defined Networking (SDN), which has a logically centralized control plane …

Distributed Intelligence for Automated 6G Network Management Using Reinforcement Learning

S Majumdar, S Schwarzmann… - NOMS 2024-2024 …, 2024 - ieeexplore.ieee.org
The deployment of network elements in 6G is expected to be significantly more distributed
than the existing 5G deployments. Distributed management paradigms are compatible with …

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 …

Exploring the Synergy: A Review of Machine Learning Techniques in Software Defined Networking (SDN)

KM Muheden, RN Othman, RS Hawezi… - ITM Web of …, 2024 - itm-conferences.org
Recent years have seen a drastic increase in the varieties and intricacies of network
systems which are made up by rapid improvements that follow mobile connections as well …

[HTML][HTML] Knowledge-defined networking: Applications, challenges and future work

S Ashtari, I Zhou, M Abolhasan, N Shariati, J Lipman… - Array, 2022 - Elsevier
Future 6G wireless communication systems are expected to feature intelligence and
automation. Knowledge-defined networking (KDN) is an evolutionary step toward …