Fiber-Optic Reservoir Computing for QAM-Signal Processing

Abstract

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.

Publication DOI: https://doi.org/10.1109/ECOC.2018.8535475
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)
Additional Information: © 2018 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.
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
Full Text Link:
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)

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