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 enhanced next-generation optical access networks—challenges and emerging solutions [Invited Tutorial]

E Wong, S Mondal, L Ruan - Journal of Optical Communications and …, 2023 - opg.optica.org
Optical access networks are envisioned to become increasingly complex as they support
more and more diverse and immersive services, each with a different capacity, latency, and …

Knowledge-based autonomous service provisioning in multi-domain elastic optical networks

X Chen, R Proietti, H Lu, A Castro… - IEEE Communications …, 2018 - ieeexplore.ieee.org
Optimization of end-to-end service provisioning across multi-domain EONs is critically
important due to the restricted intra-domain visibility and the agile spectrum allocation …

Machine learning for network automation: overview, architecture, and applications [Invited Tutorial]

D Rafique, L Velasco - Journal of Optical Communications and …, 2018 - ieeexplore.ieee.org
Networks are complex interacting systems involving cloud operations, core and metro
transport, and mobile connectivity all the way to video streaming and similar user …

Two use cases of machine learning for SDN-enabled IP/optical networks: Traffic matrix prediction and optical path performance prediction

G Choudhury, D Lynch, G Thakur… - Journal of Optical …, 2018 - opg.optica.org
We describe two applications of machine learning in the context of internet protocol
(IP)/Optical networks. The first one allows agile management of resources in a core …

Traffic prediction based on machine learning for elastic optical networks

M Aibin - Optical Switching and Networking, 2018 - Elsevier
The increased data transfers and rapidly evolving cloud services lead to the inevitable need
for the new techniques applied to communication networks, such as AI, machine learning …

Towards 6G: fast and self-adaptive dynamic bandwidth allocation for next-generation mobile fronthaul

E Wong, L Ruan - Journal of Optical Communications and …, 2023 - opg.optica.org
6G networks will deliver dynamic and immersive applications that bridge the real and digital
worlds. The next-generation passive optical access network is a potential optical transport …

Building autonomic elastic optical networks with deep reinforcement learning

X Chen, R Proietti, SJB Yoo - IEEE Communications Magazine, 2019 - ieeexplore.ieee.org
Conventional schemes for service provisioning in next-generation elastic optical networks
(EONs) rely on rule-based policies that suffer from scalability issues and can lead to poor …

Machine learning-based routing and wavelength assignment in software-defined optical networks

I Martín, S Troia, JA Hernández… - … on Network and …, 2019 - ieeexplore.ieee.org
Recently, machine learning (ML) has attracted the attention of both researchers and
practitioners to address several issues in the optical networking field. This trend has been …

Enhancing latency performance through intelligent bandwidth allocation decisions: a survey and comparative study of machine learning techniques

L Ruan, MPI Dias, E Wong - Journal of Optical Communications and …, 2020 - opg.optica.org
Converged access networks consolidating 5G and beyond and fixed optical fiber access are
expected to support future latency-sensitive human-to-machine applications over the Tactile …