Preprint Article Version 1 This version is not peer-reviewed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)

A peer-reviewed article of this Preprint also exists.

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. Appl. Sci. 2019, 9, 4398. 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. Appl. Sci. 2019, 9, 4398.

Journal reference: Appl. Sci. 2019, 9, 4398
DOI: 10.3390/app9204398

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

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