Published March 8, 2020
| Version v1
Conference paper
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Modeling Filtering Penalties in ROADM-based Networks with Machine Learning for QoT Estimation
Creators
- 1. Centre Tecnològic de Telecomunicacions de Catalunya (CTTC)
- 2. Nokia Bell Labs
- 3. Universitat Politècnica de Catalunya (UPC)
Description
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.
Notes
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Modeling Filtering Penalties in ROADM.pdf
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