SkipNet: an adaptive neural network equalization algorithm for future passive optical networking

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dc.contributor.authorMurphy, Stephen L.en
dc.contributor.authorTownsend, Paul D.en
dc.contributor.authorAntony, Cleitusen
dc.contributor.funderScience Foundation Irelanden
dc.date.accessioned2024-11-06T09:03:24Z
dc.date.available2024-11-06T09:03:24Z
dc.date.issued2024-10-08en
dc.description.abstractIn this paper, we propose an original adaptive neural network equalizer (NNE) algorithm named SkipNet, which is suitable for rapid training on a packet-by-packet basis for burst-mode non-linear equalization in upstream PON transmission. SkipNet uses the simple LMS algorithm and avoids complex neural network training algorithms such as backpropagation and mini-batch training. We demonstrate SkipNet on captured continuous mode 100 Gbit/s PAM4 signals using an SOA preamplifier to achieve the challenging 29 dB PON optical loss budget. The adaptive SkipNet equalizer is shown to overcome combinations of severe SOA patterning effects and fiber dispersion impairments to achieve >29dB dynamic range back-to-back and >22.9dB dynamic range for up to 81.6 ps/nm accumulated dispersion. It can adapt in as little as 250 training symbols to each impairment scenario, which is equivalent to existing FFE/DFE solutions, while matching the non-linear performance of previously proposed static NNE solutions. To the best of our knowledge, SkipNet is the first ever adaptive NNE framework that can realistically be trained and adapted on a packet-by-packet basis and within strict PON packet preamble lengths.en
dc.description.sponsorshipScience Foundation Ireland (12/RC/2276 P2)en
dc.description.statusPeer revieweden
dc.description.versionPublished Versionen
dc.format.mimetypeapplication/pdfen
dc.identifier.citationMurphy, S. L., Townsend, P. D. and Antony, C. (2024) 'SkipNet: an adaptive neural network equalization algorithm for future passive optical networking', Journal of Optical Communications and Networking, 16(11), pp. 1082-1092. https://doi.org/10.1364/JOCN.528490en
dc.identifier.doihttps://doi.org/10.1364/JOCN.528490en
dc.identifier.eissn1943-0639en
dc.identifier.endpage1092en
dc.identifier.issn1943-0620en
dc.identifier.issued11en
dc.identifier.journaltitleJournal of Optical Communications and Networkingen
dc.identifier.startpage1082en
dc.identifier.urihttps://hdl.handle.net/10468/16616
dc.identifier.volume16en
dc.language.isoenen
dc.publisherOptica Publishing Groupen
dc.rights© 2024, the Authors. Published by Optica Publishing Group under the terms of the Creative Commons Attribution 4.0 License. Further distribution of this work must maintain attribution to the author(s) and the published article’s title, journal citation, and DOI. https://doi.org/10.1364/JOCN.528490en
dc.rights.urihttps://creativecommons.org/licenses/by/4.0/en
dc.subjectAdaptive neural network equalizer (NNE) algorithmen
dc.subjectSkipNeten
dc.subjectBurst-mode non-linear equalizationen
dc.subjectUpstream PON transmissionen
dc.titleSkipNet: an adaptive neural network equalization algorithm for future passive optical networkingen
dc.typeArticle (peer-reviewed)en
oaire.citation.issue11en
oaire.citation.volume16en
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