Energy based transmission optimisation in nonlinear Fourier domain

Morteza Kamalian Kopae, Jaroslaw E. Prilepsky, Stanislav A. Derevyanko, Son T. Le, Sergei K. Turitsyn

Research output: Chapter in Book/Published conference outputConference publication

Abstract

The systems employing nonlinear Fourier transform (NFT) as a method of nonlinearity mitigation have recently become the subject of intensive study (see e.g. [1-4] and references therein). In particular the so-called nonlinear inverse synthesis (NIS) method was proposed in [2]. Within this method the data is modulated using the continuous part of the NFT spectrum. Then the time domain waveform is generated using the inverse NFT (INFT) before being launched into the fiber. At the receiver NFT operation is performed to retrieve the continuous NFT spectrum (Fig. 1a, see [4]). We consider here the model channel when signal evolution is described by the lossless nonlinear Schrodinger equation (NLSE) with AWGN term arising due to ideal distributed amplification [5]. The signal-noise interaction inside the NFT domain was studied in [3] including the noise statistics
Original languageEnglish
Title of host publicationThe European Conference on Lasers and Electro-Optics, CLEO_Europe 2017
VolumePart F82-CLEO_Europe 2017
ISBN (Electronic)9781557528209
Publication statusPublished - 29 Jul 2017
EventThe European Conference on Lasers and Electro-Optics, CLEO_Europe 2017 - Munich, Germany
Duration: 25 Jun 201729 Jun 2017

Conference

ConferenceThe European Conference on Lasers and Electro-Optics, CLEO_Europe 2017
Country/TerritoryGermany
CityMunich
Period25/06/1729/06/17

Fingerprint

Dive into the research topics of 'Energy based transmission optimisation in nonlinear Fourier domain'. Together they form a unique fingerprint.

Cite this