Literature DB >> 25968670

Nonlinear inverse synthesis technique for optical links with lumped amplification.

Son Thai Le, Jaroslaw E Prilepsky, Sergei K Turitsyn.   

Abstract

The nonlinear inverse synthesis (NIS) method, in which information is encoded directly onto the continuous part of the nonlinear signal spectrum, has been proposed recently as a promising digital signal processing technique for combating fiber nonlinearity impairments. However, because the NIS method is based on the integrability property of the lossless nonlinear Schrödinger equation, the original approach can only be applied directly to optical links with ideal distributed Raman amplification. In this paper, we propose and assess a modified scheme of the NIS method, which can be used effectively in standard optical links with lumped amplifiers, such as, erbium-doped fiber amplifiers (EDFAs). The proposed scheme takes into account the average effect of the fiber loss to obtain an integrable model (lossless path-averaged model) to which the NIS technique is applicable. We found that the error between lossless path-averaged and lossy models increases linearly with transmission distance and input power (measured in dB). We numerically demonstrate the feasibility of the proposed NIS scheme in a burst mode with orthogonal frequency division multiplexing (OFDM) transmission scheme with advanced modulation formats (e.g., QPSK, 16QAM, and 64QAM), showing a performance improvement up to 3.5 dB; these results are comparable to those achievable with multi-step per span digital back-propagation.

Entities:  

Year:  2015        PMID: 25968670     DOI: 10.1364/OE.23.008317

Source DB:  PubMed          Journal:  Opt Express        ISSN: 1094-4087            Impact factor:   3.894


  7 in total

1.  Spectral function modulation based on nonlinear frequency division multiplexing.

Authors:  Guangqiang He; Luning Wang; Chenyang Li; Siyu Liu; Weisheng Hu
Journal:  Sci Rep       Date:  2017-07-20       Impact factor: 4.379

2.  Back-to-Back Performance of the Full Spectrum Nonlinear Fourier Transform and Its Inverse.

Authors:  Benedikt Leible; Daniel Plabst; Norbert Hanik
Journal:  Entropy (Basel)       Date:  2020-10-06       Impact factor: 2.524

3.  Observation of a giant nonlinear wave-packet on the surface of the ocean.

Authors:  Miguel Onorato; Luigi Cavaleri; Stephane Randoux; Pierre Suret; Maria Isabel Ruiz; Marta de Alfonso; Alvise Benetazzo
Journal:  Sci Rep       Date:  2021-12-08       Impact factor: 4.379

4.  Neural networks for computing and denoising the continuous nonlinear Fourier spectrum in focusing nonlinear Schrödinger equation.

Authors:  Egor V Sedov; Pedro J Freire; Vladimir V Seredin; Vladyslav A Kolbasin; Morteza Kamalian-Kopae; Igor S Chekhovskoy; Sergei K Turitsyn; Jaroslaw E Prilepsky
Journal:  Sci Rep       Date:  2021-11-24       Impact factor: 4.379

5.  Maximizing the optical network capacity.

Authors:  Polina Bayvel; Robert Maher; Tianhua Xu; Gabriele Liga; Nikita A Shevchenko; Domaniç Lavery; Alex Alvarado; Robert I Killey
Journal:  Philos Trans A Math Phys Eng Sci       Date:  2016-03-06       Impact factor: 4.226

6.  Inverse scattering transform analysis of rogue waves using local periodization procedure.

Authors:  Stéphane Randoux; Pierre Suret; Gennady El
Journal:  Sci Rep       Date:  2016-07-07       Impact factor: 4.379

7.  Capacity estimates for optical transmission based on the nonlinear Fourier transform.

Authors:  Stanislav A Derevyanko; Jaroslaw E Prilepsky; Sergei K Turitsyn
Journal:  Nat Commun       Date:  2016-09-09       Impact factor: 14.919

  7 in total

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