Machine Learning-Based Raman Amplifier Design

Darko Zibar*, A. Ferrari, V. Curri, A. Carena

*Corresponding author for this work

    Research output: Chapter in Book/Report/Conference proceedingArticle in proceedingsResearchpeer-review

    Abstract

    A multi-layer neural network is employed to learn the mapping between Raman gain profile and pump powers and wavelengths. The learned model predicts with high-accuracy, low-latency and low-complexity the pumping setup for any gain profile.
    Original languageEnglish
    Title of host publicationProceedings of 2019 Optical Fiber Communications Conference and Exhibition
    Number of pages3
    PublisherOptical Society of America
    Publication date2019
    Pages1-3
    ISBN (Print)9781943580538
    Publication statusPublished - 2019
    Event2019 Optical Fiber Communications Conference and Exhibition - San Diego Convention Center, San Diego, United States
    Duration: 3 Mar 20197 Mar 2019

    Conference

    Conference2019 Optical Fiber Communications Conference and Exhibition
    LocationSan Diego Convention Center
    Country/TerritoryUnited States
    CitySan Diego
    Period03/03/201907/03/2019
    Sponsor3M, AC Photonics, Inc., Acacia Communications Inc., American Institute for Manufacturing Integrated Photonics, Alibaba Group

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