Machine learning regression for QoT estimation of unestablished lightpaths

Estimating the quality of transmission (QoT) of a candidate lightpath prior to its establishment is of pivotal importance for effective decision making in resource allocation for optical networks. Several recent studies investigated machine learning (ML) methods to accurately predict whether the con...

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Veröffentlicht in:Journal of optical communications and networking 2021-04, Vol.13 (4), p.B92-B101
Hauptverfasser: Ibrahimi, Memedhe, Abdollahi, Hatef, Rottondi, Cristina, Giusti, Alessandro, Ferrari, Alessio, Curri, Vittorio, Tornatore, Massimo
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Sprache:eng
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