An ultra-fast method for gain and noise prediction of Raman amplifiers
A machine learning method for prediction of Raman gain and noise spectra is presented: it guarantees high-accuracy (RMSE < 0.4 dB) and low computational complexity making it suitable for real-time implementation in future optical networks controllers.
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Sprache: | eng |
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Zusammenfassung: | A machine learning method for prediction of Raman gain and noise spectra is
presented: it guarantees high-accuracy (RMSE < 0.4 dB) and low computational
complexity making it suitable for real-time implementation in future optical
networks controllers. |
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DOI: | 10.48550/arxiv.1905.00596 |