Bayesian optimization-based algorithm to improve the quality of transmission estimation

Reda Ayassi (1, 2, 3, 4) , Ahmed Triki (1) , Maxime Laye (1) , Esther Le Rouzic (1) , Noel Crespi (2, 3, 4) , Roberto Minerva (2, 3, 4)

1 Orange Labs [Lannion]
2 IP Paris - Institut Polytechnique de Paris
3 TSP - RS2M - Département Réseaux et Services Multimédia Mobiles
4 R3S-SAMOVAR - Réseaux, Systèmes, Services, Sécurité

We propose a Bayesian Optimization-based algorithm to assess the optical parameters that are taken as input by the QoT computation tool. The method reduces the error in computed OSNR down to 0.07dB.

Domaines: Réseaux et télécommunications [cs.NI]; Réseaux sociaux et d'information [cs.SI]; Intelligence artificielle [cs.AI]

Reda Ayassi, Ahmed Triki, Maxime Laye, Esther Le Rouzic, Noel Crespi, et al.. Bayesian optimization-based algorithm to improve the quality of transmission estimation. Advanced Photonics Conference 2021, Jul 2021, Washington DC (virtual), United States. pp.NeF2B.3, ⟨10.1364/NETWORKS.2021.NeF2B.3⟩. ⟨hal-03254064⟩