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.

Publication DOI:
Divisions: Engineering & Applied Sciences > Aston Institute of Photonics Technology
Engineering & Applied Sciences
Engineering & Applied Sciences > Systems analytics research institute (SARI)
Engineering & Applied Sciences > Electrical, Electronic & Power Engineering
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
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 ( 0000-0001-6082-0316)
Sergeyev, Sergey ( 0000-0002-1515-5019)
Turitsyn, Sergei K. ( 0000-0003-0101-3834)



Version: Accepted Version

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