Machine Learning Methods for Optical Communication Systems

Faisal Nadeem Khan; Chao Lu; Alan Pak Tao Lau

doi:10.1364/SPPCOM.2017.SpW2F.3

Advanced Photonics 2017 (IPR, NOMA, Sensors, Networks, SPPCom, PS)
OSA Technical Digest (online) (Optica Publishing Group, 2017),
paper SpW2F.3
•https://doi.org/10.1364/SPPCOM.2017.SpW2F.3

Machine Learning Methods for Optical Communication Systems

Faisal Nadeem Khan, Chao Lu, and Alan Pak Tao Lau

Signal Processing in Photonic Communications 2017

New Orleans, Louisiana United States
24–27 July 2017
ISBN: 978-1-943580-30-9

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Nonlinear Channel Mitigation & Machine Learning (SpW2F)

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F. N. Khan, C. Lu, and A. P. T. Lau, "Machine Learning Methods for Optical Communication Systems," in Advanced Photonics 2017 (IPR, NOMA, Sensors, Networks, SPPCom, PS), OSA Technical Digest (online) (Optica Publishing Group, 2017), paper SpW2F.3.

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Abstract

We review application of machine learning methods to tackle fiber linear/nonlinear impairments as well as to estimate crucial signal parameters in optical networks. Recent works involving hierarchical learning approaches are also discussed.

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