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

Elias Giacoumidis, Yi Lin, Mutsam Jarajreh, Sean O'Duill, Kevin McGuinness, Paul F. Whelan, Liam P. Barry
2019 · doi:10.20944/preprints201909.0018.v1
preprint OA: closed CC-BY-4.0
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⚙ AI-generated summary by claude@2026-08, 2026-08-06 ⓘ

This study demonstrates blind nonlinearity compensation using DBSCAN clustering in a 40-Gb/s 16-QAM optical transmission system, achieving significant Q-factor improvements over K-means and linear equalization.

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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.

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License: CC-BY-4.0