Preprint Article Version 1 This version is not peer-reviewed

A Blind Nonlinearity Compensator Using DBSCAN Clustering for Coherent Optical Transmission Systems

Version 1 : Received: 29 August 2019 / Approved: 2 September 2019 / Online: 2 September 2019 (07:32:23 CEST)

How to cite: Giacoumidis, E.; Lin, Y.; Jarajreh, M.; O'Duill, S.; McGuinness, K.; Whelan, P.F.; Barry, L.P.. A Blind Nonlinearity Compensator Using DBSCAN Clustering for Coherent Optical Transmission Systems. Preprints 2019, 2019090018 (doi: 10.20944/preprints201909.0018.v1). Giacoumidis, E.; Lin, Y.; Jarajreh, M.; O'Duill, S.; McGuinness, K.; Whelan, P.F.; Barry, L.P.. A Blind Nonlinearity Compensator Using DBSCAN Clustering for Coherent Optical Transmission Systems. Preprints 2019, 2019090018 (doi: 10.20944/preprints201909.0018.v1).

Abstract

We experimentally demonstrate, for the first time, blind nonlinearity compensation using the Density-Based Spatial-Clustering of Applications with Noise (DBSCAN) algorithm for a 40-Gb/s 16-quadrature amplitude modulated being transmitted at 50 km of standard single-mode fiber. At high launched optical powers, DBSCAN offers up to 0.83- and 8.84-dB enhancement in Q-factor when compared to conventional K-means clustering and linear equalization, respectively.

Subject Areas

fiber optics communications; coherent communications; machine learning; clustering; nonlinearity cancellation

Comments (0)

We encourage comments and feedback from a broad range of readers. See criteria for comments and our diversity statement.

Leave a public comment
Send a private comment to the author(s)
Views 0
Downloads 0
Comments 0
Metrics 0


×
Alerts
Notify me about updates to this article or when a peer-reviewed version is published.