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Data Transmission Based on Exact Inverse Periodic Nonlinear Fourier Transform, Part II: Waveform Design and Experiment

2019/11/30 by Jan-Willem Goossens, Hartmut Hafermann, Yves Jaouën +1 · 1 citation
Computer Science · Engineering · Mathematics · Physics and Astronomy · #Advanced Fiber Laser Technologies #Bandlimiting #Fast Fourier transform #Fourier series #Fourier transform #Invariant (physics) #Inverse #Nonlinear Photonic Systems #Nonlinear system #Optical Network Technologies #Transmission (telecommunications) #Waveform #cs.IT #eess.SP #math.IT

paper · pdf · doi:10.1109/jlt.2020.3013163

published as Journal of Lightwave Technology, vol. 38, no. 23, pp. 6520-6528, 1 Dec.1, 2020 · Final accepted version. 10 pages, 7 figures

openalex created_date 2019/12/05 · openalex publication_date 2020/07/30 · arxiv created 2020/12/22 · arxiv updated 2020/12/24 · openalex updated_date 2026/08/05

Abstract

The nonlinear Fourier transform has the potential to overcome limits on performance and achievable data rates which arise in modern optical fiber communication systems when nonlinear interference is treated as noise. The periodic nonlinear Fourier transform (PNFT) has been much less investigated compared to its counterpart based on vanishing boundary conditions. In this article, we design a first experiment based on the PNFT in which information is encoded in the invariant nonlinear main spectrum. To this end, we propose a method to construct a set of periodic waveforms each having the same fixed period, by employing the exact inverse PNFT algorithm developed in Part I. We demonstrate feasibility of the transmission scheme in experiment in good agreement with simulations and obtain a bit-error ratio of 10-3over a distance of 2000 km. It is shown that the transmission reach is significantly longer than expected from a naive estimate based on group velocity dispersion and cyclic prefix length, which is explained through a dominating solitonic component in the transmitted waveform. Our constellation design can be generalized to an arbitrary number of nonlinear degrees of freedom.

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