RT info:eu-repo/semantics/conferenceObject
T1 A SVM approach for lightpath QoT estimation in optical transport networks
A1 Mata, Javier
A1 Miguel Jiménez, Ignacio de
A1 Durán Barroso, Ramón José
A1 Aguado Manzano, Juan Carlos
A1 Merayo Álvarez, Noemí
A1 Ruiz Pérez, Lidia
A1 Fernández Reguero, Patricia
A1 Lorenzo Toledo, Rubén Mateo
A1 Abril Domingo, Evaristo José
K1 Redes de transporte óptico
K1 Optical transport networks
AB A novel quality of transmission (QoT) estimator based on support vector machines (SVM) is proposed for classifying optical connections (lightpaths) into high or low quality categories in impairment-aware wavelength-routed optical networks (WRONs). The performance of the SVM-based estimator is evaluated in a long haul communications network and compared to previous semi-analytical and cognitive proposals. Results show that the SVM approach significantly reduces the necessary computing time to estimate the QoT of a given lightpath, critical aspect of design in these networks, and even slightly improves accuracy.
PB Institute of Electrical and Electronics Engineers (IEEE)
SN 978-1-5386-2715-0
YR 2017
FD 2017
LK http://uvadoc.uva.es/handle/10324/33552
UL http://uvadoc.uva.es/handle/10324/33552
LA eng
NO 2017 IEEE International Conference on Big Data (Big Data), 11-14 Dec. 2017, Boston, USA.
NO Producción Científica
DS UVaDOC
RD 27-abr-2024