Machine learning assisted EDFA gain ripple modelling for accurate QoT estimation
Document typeConference report
PublisherThe Institution of Engineering and Technology
Rights accessOpen Access
European Commission's projectONFIRE - Future Optical Networks for Innovation, Research and Experimentation (EC-H2020-765275)
Wavelength dependent EDFA gain ripple has an impact on connection's OSNR performance. We propose a machine learning regression model to estimate the end to end gain ripple penalty and to increase QoT estimation accuracy.
CitationMahajan, A. [et al.]. Machine learning assisted EDFA gain ripple modelling for accurate QoT estimation. A: European Conference on Optical Communication. "ECOC 2019: 45th European Conference on Optical Communications: proceedings: Dublin, Ireland: 23-26 September, 2019". The Institution of Engineering and Technology, 2019, p. 1-4. ISBN 978-1-83953-185-9. DOI 10.1049/cp.2019.0984.
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