OFC 2025, Optical Fiber Communication Conference, 30 March-3 April 2025, San Francisco, California, USA
We propose a parameter refinement method based on incremental learning, leveraging multiple network snapshots to provide accurate estimated inputs (i.e., lumped losses, gain spectra, and offset noise) to digital twins, improving QoT prediction and optimization.
Type:
Conference
City:
San Fransisco
Date:
2025-03-30
Department:
Communication systems
Eurecom Ref:
8308
Copyright:
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