Machine learning enhanced next-generation optical access networks—challenges and emerging solutions [Invited Tutorial]
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 …
more and more diverse and immersive services, each with a different capacity, latency, and …
Machine learning methods for optical communication systems
Machine Learning Methods for Optical Communication Systems Page 1 SpW2F.3.pdf Advanced
Photonics Congress (IPR, Networks, NOMA, PS, Sensors, SPPCom) © OSA 2017 1 Machine …
Photonics Congress (IPR, Networks, NOMA, PS, Sensors, SPPCom) © OSA 2017 1 Machine …
Optical cOmmunicatiOns and netwOrks
In the last issue of the Optical Communications and Networks Series in 2023, we have
selected six fascinating articles reporting on recent advances in optical communications and …
selected six fascinating articles reporting on recent advances in optical communications and …
Software Defined Optical Wireless Network with AI
T Perarasi, K Shoukath Ali, M Leeban Moses - Next Generation Wireless …, 2024 - Springer
Artificial intelligence (AI) is playing a crucial role in monitoring the behaviour of virtual
machines and applications within AT&T's Software Defined Network (SDN). By continuously …
machines and applications within AT&T's Software Defined Network (SDN). By continuously …
Machine learning-based QOT prediction for self-driven optical networks
M Vejdannik, A Sadr - Neural Computing and Applications, 2021 - Springer
Nowadays, digital businesses with diverse deployment models such as cloud, mobile and
edge devices for the internet of things will impact traffic, in both volume and dynamicity, at …
edge devices for the internet of things will impact traffic, in both volume and dynamicity, at …
[PDF][PDF] Self-managing intelligent optical networks for smarter, tougher, and cheaper systems
A Willner - SPIE Newsroom, 2006 - Citeseer
Today's optical networks function in a fairly static fashion and are built to operate within well-
defined specifications. 1 These networks require an enormous expenditure in order to …
defined specifications. 1 These networks require an enormous expenditure in order to …
Machine learning-assisted optical performance monitoring in fiber-optic networks
We review machine learning (ML)-based optical performance monitoring (OPM) techniques
in optical communications. Recent applications of ML-assisted OPM in different aspects of …
in optical communications. Recent applications of ML-assisted OPM in different aspects of …
Workshop on machine learning for optical communication systems: a summary
Workshop on Machine Learning for Optical Communication Systems: A Summary Page 1 M3E.3.pdf
OFC 2020 © OSA 2020 Workshop on Machine Learning for Optical Communication Systems …
OFC 2020 © OSA 2020 Workshop on Machine Learning for Optical Communication Systems …
[HTML][HTML] AI boosts photonics and vice versa
With the advent of digital technology, big data, and deep learning, the last decade has
undoubtedly seen a dramatic change in the landscape of science, industry, defense, and …
undoubtedly seen a dramatic change in the landscape of science, industry, defense, and …
First demonstration of machine-learning-based self-optimizing optical networks (SOON) running on commercial equipment
This paper first demonstrates machine-learning-based self-optimizing optical networks
(SOON), which can enhance network automation and reduce operation expense. Three …
(SOON), which can enhance network automation and reduce operation expense. Three …