IntelliFiber: Optical Network Optimization through Machine Learning Algorithms

AK Nayak, D Tiwari… - 2023 14th International …, 2023 - ieeexplore.ieee.org
The rapid evolution of the Internet and other communication systems has led to an explosion
of available services and technology, making communication networks increasingly …

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 …

Summary: Workshop on machine learning for optical communication systems

J Gordon, A Battou, M Majurski, D Kilper… - Workshop on Machine …, 2020 - orbit.dtu.dk
Optical communication systems are expected to find use in new applications that require
more intelligent and automated functionality. Optical networks are needed to address the …

SOON: self-optimizing optical networks with machine learning

Y Zhao, B Yan, D Liu, Y He, D Wang, J Zhang - Optics express, 2018 - opg.optica.org
As optical networks undergo rapid development, the trade-offs among higher network
service capability, and increasing operating expense (OPEX) about operations …

Advances in optical communications and network technologies

Z Zhu, X Liu, MS Alouini - IEEE Communications Magazine, 2019 - ieeexplore.ieee.org
The four articles in this special section focus on advancements in optical communications
and network technologies. In 2019, optical communications and networking technologies …

Machine learning methods for optical communication systems and networks

FN Khan, Q Fan, C Lu, APT Lau - Optical fiber telecommunications VII, 2020 - Elsevier
Abstract Machine learning (ML) is being hailed as a new direction of innovation to transform
future optical communication systems. Signal processing paradigms based on ML are being …

An overview on application of machine learning techniques in optical networks

F Musumeci, C Rottondi, A Nag… - … Surveys & Tutorials, 2018 - ieeexplore.ieee.org
Today's telecommunication networks have become sources of enormous amounts of widely
heterogeneous data. This information can be retrieved from network traffic traces, network …

Examples of machine learning algorithms for optical network control and management

AP Vela, M Ruiz, L Velasco - 2018 20th International …, 2018 - ieeexplore.ieee.org
Machine learning (ML) offers a great variety of algorithms that can be used in the context of
optical networks. In particular, ML algorithms might be applied for classification and to detect …

Introduction to machine learning techniques: An optical communication's perspective

FN Khan, Q Fan, C Lu, APT Lau - Machine Learning for Future Fiber-Optic …, 2022 - Elsevier
Abstract Machine learning (ML) has revolutionized a number of science and engineering
disciplines over the past few years. It is also being considered as a new direction of …

Intelligent Optical Networks: Challenges, Opportunities, and Applications

RK Jeyachitra, S Manochandar, MP Doss - Intelligent Communication … - taylorfrancis.com
The rapid development of communication technologies and emerging network services
provokes data traffic in communication networks, where optical networks act as the …