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Analysis and Compensation of Nonlinear Dynamics in Optical Fiber Transmission with the Optoelectronic Reservoir Computing
Zhejiang University, China.
Zhejiang University, China.
Riga Technical University, Latvia.
Riga Technical University, Latvia; KTH Royal Institute of Technology, Sweden.ORCID iD: 0000-0003-4906-1704
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2023 (English)In: 2023 Photonics Global Conference (PGC), 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
2023. p. 12-16
National Category
Electrical Engineering, Electronic Engineering, Information Engineering
Identifiers
URN: urn:nbn:se:ri:diva-70028DOI: 10.1109/PGC60057.2023.10344084OAI: oai:DiVA.org:ri-70028DiVA, id: diva2:1829240
Conference
2023 Photonics Global Conference (PGC)
Note

National Key Research and Development Program of China (2022YFB2903800); National Natural Science Foun-dation of China (62101483); Natural Science Foundation of Zhejiang Province (LQ21F010015); Zhejiang Lab (2020LC0AD01); Vetenskapsrådet (2019-05197) 

Available from: 2024-01-18 Created: 2024-01-18 Last updated: 2024-03-04Bibliographically approved

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Pang, XiaodanOzolins, Oskars

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