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 …

Applications of machine learning in networking: a survey of current issues and future challenges

MA Ridwan, NAM Radzi, F Abdullah, YE Jalil - IEEE access, 2021 - ieeexplore.ieee.org
Communication networks are expanding rapidly and becoming increasingly complex. As a
consequence, the conventional rule-based algorithms or protocols may no longer perform at …

Machine learning meets communication networks: Current trends and future challenges

I Ahmad, S Shahabuddin, H Malik, E Harjula… - IEEE …, 2020 - ieeexplore.ieee.org
The growing network density and unprecedented increase in network traffic, caused by the
massively expanding number of connected devices and online services, require intelligent …

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 …

Multi-associated parameters aggregation-based routing and resources allocation in multi-core elastic optical networks

H Yang, Q Yao, B Bao, A Yu, J Zhang… - … /ACM Transactions on …, 2022 - ieeexplore.ieee.org
Space division multiplexing (SDM), as a potential means of enhancing the capacity of optical
transmission systems, has attracted widespread attention. However, the adoption of SDM …

Provisioning in multi-band optical networks

N Sambo, A Ferrari, A Napoli, N Costa… - Journal of Lightwave …, 2020 - ieeexplore.ieee.org
Multi-band (MB) optical transmission promises to extend the lifetime of existing optical fibre
infrastructures, which usually transmit within the C-band only, with C+ L-band being also …

Flexible technologies to increase optical network capacity

A Lord, SJ Savory, M Tornatore… - Proceedings of the …, 2022 - ieeexplore.ieee.org
Increased global traffic puts tough requirements not just on fiber communications links but
on the entire network. This manifests itself in multiple ways, including how to optimize …

[图书][B] Elastic optical networks: fundamentals, design, control, and management

B Chatterjee, E Oki - 2020 - taylorfrancis.com
The rapid growth in communications and internet has changed our way of life, and our
requirement for communication bandwidth. Optical networks can enable us to meet the …

[HTML][HTML] Overview on routing and resource allocation based machine learning in optical networks

Y Zhang, J Xin, X Li, S Huang - Optical Fiber Technology, 2020 - Elsevier
For optical networks, routing and resource allocation which considerably determines the
resource efficiency and network capacity is one of the most important works. It has been …

Survey on the use of machine learning for quality of transmission estimation in optical transport networks

R Ayassi, A Triki, N Crespi, R Minerva… - Journal of Lightwave …, 2022 - ieeexplore.ieee.org
Estimating the Quality of Transmission (QoT) of the optical signal from source to destination
nodes is the cornerstone of design engineering and service provisioning in optical transport …