Modeling Filtering Penalties in ROADM-based Networks with Machine Learning for QoT Estimation

descriptionPublicationkeyboard_double_arrow_right Article , Conference object 01 Jan 2020 Spain Publisher:Optica Publishing GroupJournal:Optical Fiber Communication Conference (OFC) 2020Funded by:EC | ONFIRE

Authors: Mahajan, Ankush; Christodoulopoulos, Konstantinos; Martinez, Ricardo; Spadaro, Salvatore; Muñoz, Raul;

doi: 10.1364/ofc.2020.th3d.4 , 10.5281/zenodo.3979473 , 10.5281/zenodo.3979474

handle: 2117/191721

Modeling Filtering Penalties in ROADM-based Networks with Machine Learning for QoT Estimation

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Abstract

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-to-end filtering penalty for more accurate QoT estimation of future connections.

Country

Spain

Related Organizations

Bell Labs
United States
Centre Tecnologic De Telecomunicacions De Catalunya
Spain
Universitat Polite`cnica de Catalunya
Spain
Universitat Politècnica de Catalunya
Spain

Keywords

:Enginyeria de la telecomunicació::Telecomunicació òptica [Àrees temàtiques de la UPC], Optical communications, Comunicacions òptiques, network optimization, Networks, Network optimization, Àrees temàtiques de la UPC::Enginyeria de la telecomunicació::Telecomunicació òptica

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