Analysis and Compensation of Nonlinear Dynamics in Optical Fiber Transmission with the Optoelectronic Reservoir ComputingShow others and affiliations
2023 (English)In: Photonics Global Conference, PGC 2023, Institute of Electrical and Electronics Engineers (IEEE) , 2023, p. 12-16Conference paper, Published paper (Refereed)
Abstract [en]
Optical fiber communication systems play an important role in broadband signal transmissions, where the nonlinear dynamics in the long-haul optical fiber transmissions greatly degrade the transmission performance and limit the fiber capacity and reach. This paper analyzes and compensates for the nonlinear dynamics in the long-haul optical fiber transmission with the delay-based optoelectronic reservoir computing (RC) scheme, which provides benefits like time-adaptive tracking, low-complexity and hardware implementation potentials. The generalization of the analysis and compensation schemes from the traditional amplitude-modulated PAM signal to the amplitude-phase-modulated QAM signal is achieved by signal preprocessing. In the numerical study, the proposed RC-based fiber dynamics compensation scheme, with fiber reach from 1400km to 3000km, shows considerable performance with the digital backpropagation scheme, which is always used as the benchmark for nonlinear compensation of long-haul fiber transmissions. The realization complexity is much reduced with the RC-based schemes, which has provided a new dawn for optics-based nonlinear analysis and compensations.
Place, publisher, year, edition, pages
Institute of Electrical and Electronics Engineers (IEEE) , 2023. p. 12-16
Keywords [en]
nonlinear channel equalization, optical fiber transmission, photonic AI, photonic reservoir computing
National Category
Atom and Molecular Physics and Optics
Identifiers
URN: urn:nbn:se:kth:diva-342651DOI: 10.1109/PGC60057.2023.10344084Scopus ID: 2-s2.0-85182266284OAI: oai:DiVA.org:kth-342651DiVA, id: diva2:1831245
Conference
2023 Photonics Global Conference, PGC 2023, Stockholm, Sweden, Aug 21 2023 - Aug 23 2023
Note
Part of ISBN 9798350318371
QC 20240201
2024-01-252024-01-252024-07-01Bibliographically approved