3979474
doi
10.5281/zenodo.3979474
oai:zenodo.org:3979474
user-eu
Christodoulopoulos, Kostas
Nokia Bell Labs
Martínez, Ricardo
Centre Tecnològic de Telecomunicacions de Catalunya (CTTC)
Spadaro, Salvatore
Universitat Politècnica de Catalunya (UPC)
Muñoz, Raül
Centre Tecnològic de Telecomunicacions de Catalunya (CTTC)
Modeling Filtering Penalties in ROADM-based Networks with Machine Learning for QoT Estimation
Mahajan, Ankush
Centre Tecnològic de Telecomunicacions de Catalunya (CTTC)
info:eu-repo/semantics/openAccess
Creative Commons Attribution 4.0 International
https://creativecommons.org/licenses/by/4.0/legalcode
Networks
network optimization
Optical communications
<p>Monitoring 3dB bandwidth and other spectrum related parameters at ROADMs provides information about quality of their filters. We propose a machine-learning model to estimate end-toend filtering penalty for more accurate QoT estimation of future connections.</p>
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Zenodo
2020-03-08
info:eu-repo/semantics/conferencePaper
3979473
user-eu
award_title=Future Optical Networks for Innovation, Research and Experimentation; award_number=765275; award_identifiers_scheme=url; award_identifiers_identifier=https://cordis.europa.eu/projects/765275; funder_id=00k4n6c32; funder_name=European Commission;
1597193962.980031
530246
md5:2d352b02e926ea1f7535014e8de8b6c4
https://zenodo.org/records/3979474/files/Modeling Filtering Penalties in ROADM.pdf
public
10.5281/zenodo.3979473
isVersionOf
doi