Lightpath QoT computation in optical networks assisted by transfer learning

Precise computation of the quality of transmission (QoT) of lightpaths (LPs) in transparent optical networks has techno-economic importance for any network operator. The QoT metric of LPs is defined by the generalized signal-to-noise ratio (GSNR), which includes the effects of both amplified spontan...

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Veröffentlicht in:	Journal of optical communications and networking 2021-04, Vol.13 (4), p.B72-B82
Hauptverfasser:	Khan, Ihtesham, Bilal, Muhammad, Umar Masood, M., D'Amico, Andrea, Curri, Vittorio
Format:	Artikel
Sprache:	eng
Schlagworte:	Adaptive optics Artificial neural networks Computation Datasets Machine learning Nonlinear optics Optical attenuators Optical communication Optical fiber networks Signal to noise ratio Spontaneous emission Statistical analysis Uncertainty Wavelength division multiplexing
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