A Blind Nonlinearity Compensator Using DBSCAN Clustering for Coherent Optical Transmission Systems Article Swipe
Elias Giacoumidis
,
Yi Lin
,
Mutsam A. Jarajreh
,
Sean O’Dúill
,
Kevin McGuinness
,
Paul F. Whelan
,
Liam P. Barry
·
YOU?
·
· 2019
· Open Access
·
· DOI: https://doi.org/10.20944/preprints201909.0018.v1
YOU?
·
· 2019
· Open Access
·
· DOI: https://doi.org/10.20944/preprints201909.0018.v1
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.
Related Topics To Compare & Contrast
Concepts
DBSCAN
Cluster analysis
Amplitude
Nonlinear system
Transmission (telecommunications)
Compensation (psychology)
Noise (video)
Computer science
Equalization (audio)
Optics
Physics
Algorithm
Telecommunications
Artificial intelligence
Image (mathematics)
Correlation clustering
Canopy clustering algorithm
Psychoanalysis
Quantum mechanics
Decoding methods
Psychology
Metadata
- Type
- preprint
- Language
- en
- Landing Page
- https://doi.org/10.20944/preprints201909.0018.v1
- https://www.preprints.org/manuscript/201909.0018/v1/download
- OA Status
- green
- Cited By
- 5
- References
- 22
- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W3126069030
All OpenAlex metadata
Raw OpenAlex JSON
No additional metadata available.