One-Shot Learning for Modulation Format Identification in Evolving Optical Networks
Paper i proceeding, 2019

We report on the first successful application of one-shot machine learning scheme that identifies new modulation formats based on a single constellation diagram without re-training. 100% accuracy is achieved when expanding from 2 to 5 supported modulation formats.

Machine learning

Modulation

Fiber optics communications

Machine vision

Författare

Carlos Natalino Da Silva

Chalmers, Elektroteknik, Kommunikation, Antenner och Optiska Nätverk

Aleksejs Udalcovs

RISE Research Institutes of Sweden

Lena Wosinska

Chalmers, Elektroteknik, Kommunikation, Antenner och Optiska Nätverk

Oskars Ozolins

RISE Research Institutes of Sweden

Marija Furdek Prekratic

Chalmers, Elektroteknik, Kommunikation, Antenner och Optiska Nätverk

Optics InfoBase Conference Papers

21622701 (eISSN)

Vol. Part F131-IPRSN 2019 JW4A.2
978-155752820-9 (ISBN)

Integrated Photonics Research, Silicon and Nanophotonics, IPRSN 2019
San Francisco, CA, USA,

Ämneskategorier

Telekommunikation

Datorsystem

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Senast uppdaterat

2020-01-16