Preprint
Article
A Blind Nonlinearity Compensator Using DBSCAN Clustering for Coherent Optical Transmission Systems
This version is not peer-reviewed.
Submitted:
29 August 2019
Posted:
02 September 2019
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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.
Keywords:
fiber optics communications
; coherent communications
; machine learning
; clustering
; nonlinearity cancellation
Copyright: This open access article is published under a Creative Commons CC BY 4.0 license, which permit the free download, distribution, and reuse, provided that the author and preprint are cited in any reuse.
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