dc.contributor.author | Giacoumidis, Elias | |
dc.contributor.author | Yi-lin | |
dc.contributor.author | Wei, Jinlong | |
dc.contributor.author | Aldaya, Ivan | |
dc.contributor.author | Tsokanos, Athanasios | |
dc.contributor.author | Barry, Liam | |
dc.date.accessioned | 2019-10-08T00:24:34Z | |
dc.date.available | 2019-10-08T00:24:34Z | |
dc.date.issued | 2018-12-20 | |
dc.identifier.citation | Giacoumidis , E , Yi-lin , Wei , J , Aldaya , I , Tsokanos , A & Barry , L 2018 , ' Harnessing machine learning for fiber-induced nonlinearity mitigation in long-haul coherent optical OFDM ' , Future Internet , vol. 11 , no. 1 , pp. 1-20 . https://doi.org/10.3390/fi11010002 | |
dc.identifier.issn | 1999-5903 | |
dc.identifier.uri | http://hdl.handle.net/2299/21721 | |
dc.description | © 2018 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/). | |
dc.description.abstract | Coherent optical orthogonal frequency division multiplexing (CO-OFDM) has attracted a lot of interest in optical fiber communications due to its simplified digital signal processing (DSP) units, high spectral-efficiency, flexibility, and tolerance to linear impairments. However, CO-OFDM’s high peak-to-average power ratio imposes high vulnerability to fiber-induced non-linearities. DSP-based machine learning has been considered as a promising approach for fiber non-linearity compensation without sacrificing computational complexity. In this paper, we review the existing machine learning approaches for CO-OFDM in a common framework and review the progress in this area with a focus on practical aspects and comparison with benchmark DSP solutions. | en |
dc.format.extent | 20 | |
dc.format.extent | 5714317 | |
dc.language.iso | eng | |
dc.relation.ispartof | Future Internet | |
dc.title | Harnessing machine learning for fiber-induced nonlinearity mitigation in long-haul coherent optical OFDM | en |
dc.contributor.institution | School of Computer Science | |
dc.description.status | Peer reviewed | |
rioxxterms.versionofrecord | 10.3390/fi11010002 | |
rioxxterms.type | Journal Article/Review | |
herts.preservation.rarelyaccessed | true | |