Quality of Transmission Prediction with Machine Learning for Dynamic Operation of Optical WDM Networks | IEEE Conference Publication | IEEE Xplore

Quality of Transmission Prediction with Machine Learning for Dynamic Operation of Optical WDM Networks


Abstract:

We propose a cognitive scalable method based on neural networks to address dynamic and agile provisioning of optical physical layer without prior knowledge of network spe...Show More

Abstract:

We propose a cognitive scalable method based on neural networks to address dynamic and agile provisioning of optical physical layer without prior knowledge of network specifications. Experimental demonstrations on a mesh network achieve 90th percentile OSNR prediction of 0.25dB Root-Mean-Squared-Error.
Date of Conference: 17-21 September 2017
Date Added to IEEE Xplore: 26 April 2018
ISBN Information:
Conference Location: Gothenburg, Sweden

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