Capacity estimates for optical transmission based on the nonlinear Fourier transform

Stanislav A. Derevyanko (), Jaroslaw E. Prilepsky () and Sergei K. Turitsyn ()
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Stanislav A. Derevyanko: Ben-Gurion University of the Negev
Jaroslaw E. Prilepsky: Aston Institute of Photonic Technologies, Aston University
Sergei K. Turitsyn: Aston Institute of Photonic Technologies, Aston University

Nature Communications, 2016, vol. 7, issue 1, 1-9

Abstract: Abstract What is the maximum rate at which information can be transmitted error-free in fibre–optic communication systems? For linear channels, this was established in classic works of Nyquist and Shannon. However, despite the immense practical importance of fibre–optic communications providing for >99% of global data traffic, the channel capacity of optical links remains unknown due to the complexity introduced by fibre nonlinearity. Recently, there has been a flurry of studies examining an expected cap that nonlinearity puts on the information-carrying capacity of fibre–optic systems. Mastering the nonlinear channels requires paradigm shift from current modulation, coding and transmission techniques originally developed for linear communication systems. Here we demonstrate that using the integrability of the master model and the nonlinear Fourier transform, the lower bound on the capacity per symbol can be estimated as 10.7 bits per symbol with 500 GHz bandwidth over 2,000 km.

Date: 2016
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DOI: 10.1038/ncomms12710

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