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Kvantovaya Elektronika, 2021, Volume 51, Number 5, Pages 459–462 (Mi qe17436)  

This article is cited in 9 scientific papers (total in 9 papers)

Fibreoptic communication lines

Use of complex fully connected neural networks to compensate for nonlinear effects in fibre-optic communication lines

S. A. Bogdanov, O. S. Sidelnikov

Novosibirsk State University
Full-text PDF (682 kB) Citations (9)
References:
Abstract: A scheme is proposed for processing optical signals in a receiver of a communication system, based on complex fully connected neural networks. The influence of the main characteristics of the neural network on the efficiency of nonlinear distortion compensation is studied. A significant advantage of the proposed scheme over real-valued neural networks is demonstrated.
Keywords: optical fibre, nonlinear effects, fully connected neural networks, mathematical modelling.
Funding agency Grant number
Ministry of Education and Science of the Russian Federation МК-915.2020.9
Received: 28.12.2020
Revised: 27.02.2021
English version:
Quantum Electronics, 2021, Volume 51, Issue 5, Pages 459–462
DOI: https://doi.org/10.1070/QEL17518
Bibliographic databases:
Document Type: Article
Language: Russian
Supplementary materials:
pic_3.pdf (265.2 Kb)


Citation: S. A. Bogdanov, O. S. Sidelnikov, “Use of complex fully connected neural networks to compensate for nonlinear effects in fibre-optic communication lines”, Kvantovaya Elektronika, 51:5 (2021), 459–462 [Quantum Electron., 51:5 (2021), 459–462]
Linking options:
  • https://www.mathnet.ru/eng/qe17436
  • https://www.mathnet.ru/eng/qe/v51/i5/p459
  • This publication is cited in the following 9 articles:
    Citing articles in Google Scholar: Russian citations, English citations
    Related articles in Google Scholar: Russian articles, English articles
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