We propose a machine learning-based technique that accurately estimates quality-of-transmission (QoT) impairments of an optical switch on 400ZR. The proposed scheme works in an entirely agnostic way reduces inaccuracy in QoT impairments estima­tion by 1.5 dB.

Machine learning Assisted Accurate Estimation of QoT Impairments of Photonics Switching System on 400ZR / Khan, Ihtesham; Tunesi, Lorenzo; Masood, Muhammad Umar; Ghillino, Enrico; Bardella, Paolo; Carena, Andrea; Curri, Vittorio.. - ELETTRONICO. - (2021). ((Intervento presentato al convegno Asia Communications and Photonics tenutosi a Shanghai, China nel 24–27 October 2021 [10.1364/ACPC.2021.T2B.2].

Machine learning Assisted Accurate Estimation of QoT Impairments of Photonics Switching System on 400ZR

Khan, Ihtesham;Tunesi, Lorenzo;Masood, Muhammad Umar;Bardella, Paolo;Carena, Andrea;Curri, Vittorio.
2021

Abstract

We propose a machine learning-based technique that accurately estimates quality-of-transmission (QoT) impairments of an optical switch on 400ZR. The proposed scheme works in an entirely agnostic way reduces inaccuracy in QoT impairments estima­tion by 1.5 dB.
978-1-957171-00-5
File in questo prodotto:
File Dimensione Formato  
ACPC-2021-T2B.2.pdf

non disponibili

Tipologia: 2a Post-print versione editoriale / Version of Record
Licenza: Non Pubblico - Accesso privato/ristretto
Dimensione 480.63 kB
Formato Adobe PDF
480.63 kB Adobe PDF   Visualizza/Apri   Richiedi una copia
C_ACP_Rejected_C_ECOC_Machine_learning_Assisted_Accurate_Estimation_of_QoT_Impairments_of_Photonics_Switching_System_on_400ZR_V1_19072021 (3).pdf

Open Access dal 28/10/2022

Tipologia: 2. Post-print / Author's Accepted Manuscript
Licenza: PUBBLICO - Tutti i diritti riservati
Dimensione 397.63 kB
Formato Adobe PDF
397.63 kB Adobe PDF Visualizza/Apri
Pubblicazioni consigliate

I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.

Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11583/2949516