Journal article
Machine Learning Techniques for Optical Performance Monitoring from Directly Detected PDM-QAM Signals
Department of Photonics Engineering, Technical University of Denmark1
Networks Technology and Service Platforms, Department of Photonics Engineering, Technical University of Denmark2
Technical University of Denmark3
Ultra-fast Optical Communication, Department of Photonics Engineering, Technical University of Denmark4
Linear signal processing algorithms are effective in dealing with linear transmission channel and linear signal detection, while the nonlinear signal processing algorithms, from the machine learning community, are effective in dealing with nonlinear transmission channel and nonlinear signal detection.
In this paper, a brief overview of the various machine learning methods and their application in optical communication is presented and discussed. Moreover, supervised machine learning methods, such as neural networks and support vector machine, are experimentally demonstrated for in-band optical signal to noise ratio (OSNR) estimation and modulation format classification, respectively.
The proposed methods accurately evaluate optical signals employing up to 64 quadrature amplitude modulation (QAM), at 32 Gbaud, using only directly-detected data.
| Language: | English |
|---|---|
| Publisher: | IEEE |
| Year: | 2017 |
| Pages: | 868-875 |
| ISSN: | 15582213 and 07338724 |
| Types: | Journal article |
| DOI: | 10.1109/JLT.2016.2590989 |
| ORCIDs: | Piels, Molly , Medeiros Diniz, Júlio César and Zibar, Darko |
Machine Learning Neural networks Optical Communication Performance monitoring Support vector machines
Machine learning Nonlinear optics Optical modulation Optical noise Optical polarization Signal to noise ratio directly detected PDM-QAM signals in-band optical signal to noise ratio estimation learning (artificial intelligence) machine learning techniques modulation format classification neural nets neural networks optical communication optical performance monitoring optical signal detection performance monitoring quadrature amplitude modulation support vector machine support vector machines
