Table of Contents: :: Library Catalog

Cover Image

Saved in:

Bibliographic Details
Main Authors:	Arpanaei, Farhad, Shariati, Behnam, Safari, Pooyan, Ranjbar Zefreh, Mahdi, Hernández, José Alberto, Carena, Andrea, Fischer, Johannes, LARRABEITI, DAVID
Format:	Recurso digital
Language:
Published:	Zenodo 2022
Online Access:	https://doi.org/10.5281/zenodo.14615414
Tags:	Add Tag No Tags, Be the first to tag this record!

Table of Contents:

<p>We propose a novel approach to perform QoT estimation relying on joint exploitation of machine learning and analytical formula that offers accurate estimation when applied to scenarios with heterogeneous span profiles and sparsely occupied links. Our approach significantly outperforms the widely used lightpath-level QoT estimation.</p>