Fiber-Optic Reservoir Computing for QAM-Signal Processing


Here we propose a novel design of fiber-optic reservoir computing (FORC) and demonstrate it applicability for QAM-signal processing. The FORC enables over 5 dB improvement due to mitigating nonlinear distortions and supports high complexity QAM-formats.

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Divisions: College of Engineering & Physical Sciences > Aston Institute of Photonics Technology (AIPT)
College of Engineering & Physical Sciences
College of Engineering & Physical Sciences > Systems analytics research institute (SARI)
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Event Title: 2018 European Conference on Optical Communication (ECOC)
Event Type: Other
Event Dates: 2018-09-23 - 2018-09-27
ISBN: 978-1-5386-4862-9, 978-1-5386-4863-6
Last Modified: 24 Jan 2024 08:33
Date Deposited: 22 Nov 2018 11:30
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Related URLs: https://ieeexpl ... ocument/8535475 (Publisher URL)
PURE Output Type: Conference contribution
Published Date: 2018-11-15
Accepted Date: 2018-06-22
Authors: Sorokina, Mariia (ORCID Profile 0000-0001-6082-0316)
Sergeyev, Sergey (ORCID Profile 0000-0002-1515-5019)
Turitsyn, Sergei K. (ORCID Profile 0000-0003-0101-3834)



Version: Accepted Version

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