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.2978-155752820-9 (ISBN)
Integrated Photonics Research, Silicon and Nanophotonics, IPRSN 2019
San Francisco, CA, USA,
San Francisco, CA, USA,
Ämneskategorier
Telekommunikation
Datorsystem