An overview on application of machine learning techniques in optical networks
Today's telecommunication networks have become sources of enormous amounts of widely
heterogeneous data. This information can be retrieved from network traffic traces, network …
heterogeneous data. This information can be retrieved from network traffic traces, network …
[HTML][HTML] Artificial intelligence (AI) methods in optical networks: A comprehensive survey
Artificial intelligence (AI) is an extensive scientific discipline which enables computer
systems to solve problems by emulating complex biological processes such as learning …
systems to solve problems by emulating complex biological processes such as learning …
An optical communication's perspective on machine learning and its applications
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 …
recent years. ML applications in optical communications and networking are also gaining …
Machine learning for intelligent optical networks: A comprehensive survey
With the rapid development of Internet and communication systems, both in the aspect of
services and technologies, communication networks have been suffering increasing …
services and technologies, communication networks have been suffering increasing …
A tutorial on machine learning for failure management in optical networks
Failure management plays a role of capital importance in optical networks to avoid service
disruptions and to satisfy customers' service level agreements. Machine learning (ML) …
disruptions and to satisfy customers' service level agreements. Machine learning (ML) …
[HTML][HTML] Machine learning applications for short reach optical communication
With the rapid development of optical communication systems, more advanced techniques
conventionally used in long-haul transmissions have gradually entered systems covering …
conventionally used in long-haul transmissions have gradually entered systems covering …
Transfer learning assisted deep neural network for OSNR estimation
We propose a transfer learning assisted deep neural network (DNN) method for optical-
signal-to-noise ratio (OSNR) monitoring and realize fast remodel to response to various …
signal-to-noise ratio (OSNR) monitoring and realize fast remodel to response to various …
Convolutional neural network-based optical performance monitoring for optical transport networks
To address the open and diverse situation of future optical networks, it is necessary to find a
methodology to accurately estimate the value of a target quantity in an optical performance …
methodology to accurately estimate the value of a target quantity in an optical performance …
[HTML][HTML] AI-based modeling and monitoring techniques for future intelligent elastic optical networks
With the development of 5G technology, high definition video and internet of things, the
capacity demand for optical networks has been increasing dramatically. To fulfill the capacity …
capacity demand for optical networks has been increasing dramatically. To fulfill the capacity …
Concept and implementation study of advanced DSP-based fiber-longitudinal optical power profile monitoring toward optical network tomography
T Tanimura, S Yoshida, K Tajima, S Oda… - Journal of optical …, 2021 - opg.optica.org
A new class of digital signal processing (DSP)-based fiber-longitudinal optical power profile
monitor has recently been proposed and demonstrated toward optical network tomography …
monitor has recently been proposed and demonstrated toward optical network tomography …