3.8 Proceedings Paper

Experimental Comparisons between Machine Learning and Analytical Models for QoT Estimations in WDM Systems

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IEEE

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Funding

  1. Alibaba Group through Alibaba Innovative Research Program, Hong Kong Government [GRF PolyU 152757/16E]
  2. National Key R&D Program of China [2018YFB1801701]

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We experimentally compare QoT estimations for WDM systems using Machine Learning(ML) and ON-based analytical models. ML estimates the side channels with better accuracy but is temporally less stable and less generalizable to different link configurations.

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