Transforming the Digital Coherent Receiver into a Test and Measurement Equipment using Machine Learning

Siddharth Varughese; Daniel Lippiatt; Hyung Joon Cho; Stephen E. Ralph

doi:10.1364/SPPCOM.2021.SpTh1D.1

OSA Advanced Photonics Congress 2021
OSA Technical Digest (Optica Publishing Group, 2021),
paper SpTh1D.1
•https://doi.org/10.1364/SPPCOM.2021.SpTh1D.1

Transforming the Digital Coherent Receiver into a Test and Measurement Equipment using Machine Learning

Siddharth Varughese, Daniel Lippiatt, Hyung Joon Cho, and Stephen E. Ralph

Signal Processing in Photonic Communications 2021

Washington, DC United States
26–29 July 2021
ISBN: 978-1-943580-94-1

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Impairments Compensation for Data Transmission (SpTh1D)

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S. Varughese, D. Lippiatt, H. J. Cho, and S. E. Ralph, "Transforming the Digital Coherent Receiver into a Test and Measurement Equipment using Machine Learning," in OSA Advanced Photonics Congress 2021, B. Yang, F. Leo, A. Tauke-Pedretti, S. Arafin, M. Clerici, L. Caspani, L. Busse, M. Kats, J. Fan, W. Ming (Steve) Lee, D. Caplan, N. Parsons, W. Freude, C. Tremblay, D. Hillerkuss, K. Igarashi, H. Elgala, N. Guerrero Gonzalez, R. "Patty" Stabile, K. Jaeger, R. Saive, H. Aziz, and H. Tan, eds., OSA Technical Digest (Optica Publishing Group, 2021), paper SpTh1D.1.

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Abstract

We demonstrate the use of various machine learning techniques to extract unique features from the digital coherent receiver and enable optical performance monitoring and optical network fault management in future optical communication systems.

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