research
∙
06/19/2023
Machine Learning for Real-Time Anomaly Detection in Optical Networks
This work proposes a real-time anomaly detection scheme that leverages t...
share
research
∙
09/12/2022
Survey on Machine Learning for Traffic-Driven Service Provisioning in Optical Networks
The unprecedented growth of the global Internet traffic, coupled with th...
research
∙
08/30/2022
Modeling Soft-Failure Evolution for Triggering Timely Repair with Low QoT Margins
In this work, the capabilities of an encoder-decoder learning framework ...
research
∙
05/12/2020
Fair Resource Allocation in Optical Networks under Tidal Traffic
We propose a game-theoretic alpha-fair routing and spectrum allocation (...
research
∙
05/12/2020
α-Fair Resource Allocation in Optical Networks under Tidal Traffic
We propose a game-theoretic α-fair routing and spectrum allocation (RSA)...
research
∙
08/22/2019
Centralized and Distributed Machine Learning-Based QoT Estimation for Sliceable Optical Networks
Dynamic network slicing has emerged as a promising and fundamental frame...
research
∙
12/18/2018