End-to-End Learning in Optical Fiber Communications: Concept and Transceiver Design

Boris Karanov; Polina Bayvel; Laurent Schmalen

doi:10.1109/ECOC48923.2020.9333174

End-to-End Learning in Optical Fiber Communications: Concept and Transceiver Design

Boris Karanov, Polina Bayvel, Laurent Schmalen

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Academic › peer-review

10 Citations (Scopus)

161 Downloads (Pure)

Abstract

We implement a complete fiber-optic communication system as an end-to-end computational graph using an artificial neural network (ANN)-based transceiver. We highlight transceivers implemented using feedforward or recurrent ANN, and illustrate their performance by an example.

Original language	English
Title of host publication	2020 European Conference on Optical Communications, ECOC 2020
Publisher	Institute of Electrical and Electronics Engineers
Number of pages	4
ISBN (Electronic)	9781728173610
DOIs	https://doi.org/10.1109/ECOC48923.2020.9333174
Publication status	Published - 4 Feb 2021
Event	46th European Conference on Optical Communications, ECOC 2020 - Brussels, Belgium, Virtual, Brussels, Belgium Duration: 6 Dec 2020 → 10 Dec 2020 Conference number: 46

Conference

Conference	46th European Conference on Optical Communications, ECOC 2020
Abbreviated title	ECOC 2020
Country/Territory	Belgium
City	Virtual, Brussels
Period	6/12/20 → 10/12/20

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10.1109/ECOC48923.2020.9333174

End-to-End_Learning_Concept_Transceiver_DesignFinal author version , 436 KBLicence: Unspecified

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title = "End-to-End Learning in Optical Fiber Communications: Concept and Transceiver Design",

abstract = "We implement a complete fiber-optic communication system as an end-to-end computational graph using an artificial neural network (ANN)-based transceiver. We highlight transceivers implemented using feedforward or recurrent ANN, and illustrate their performance by an example.",

author = "Boris Karanov and Polina Bayvel and Laurent Schmalen",

note = "Publisher Copyright: {\textcopyright} 2020 IEEE. Copyright: Copyright 2021 Elsevier B.V., All rights reserved.; 46th European Conference on Optical Communications, ECOC 2020, ECOC 2020 ; Conference date: 06-12-2020 Through 10-12-2020",

year = "2021",

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day = "4",

doi = "10.1109/ECOC48923.2020.9333174",

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Karanov, B, Bayvel, P & Schmalen, L 2021, End-to-End Learning in Optical Fiber Communications: Concept and Transceiver Design. in 2020 European Conference on Optical Communications, ECOC 2020., 9333174, Institute of Electrical and Electronics Engineers, 46th European Conference on Optical Communications, ECOC 2020, Virtual, Brussels, Belgium, 6/12/20. https://doi.org/10.1109/ECOC48923.2020.9333174

End-to-End Learning in Optical Fiber Communications: Concept and Transceiver Design. / Karanov, Boris; Bayvel, Polina; Schmalen, Laurent.
2020 European Conference on Optical Communications, ECOC 2020. Institute of Electrical and Electronics Engineers, 2021. 9333174.

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Academic › peer-review

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AU - Karanov, Boris

AU - Bayvel, Polina

AU - Schmalen, Laurent

N1 - Conference code: 46

PY - 2021/2/4

Y1 - 2021/2/4

N2 - We implement a complete fiber-optic communication system as an end-to-end computational graph using an artificial neural network (ANN)-based transceiver. We highlight transceivers implemented using feedforward or recurrent ANN, and illustrate their performance by an example.

AB - We implement a complete fiber-optic communication system as an end-to-end computational graph using an artificial neural network (ANN)-based transceiver. We highlight transceivers implemented using feedforward or recurrent ANN, and illustrate their performance by an example.

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M3 - Conference contribution

AN - SCOPUS:85101182808

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End-to-End Learning in Optical Fiber Communications: Concept and Transceiver Design

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