Polarization-multiplexed nonlinear inverse synthesis with standard and reduced-complexity NFT processing

Civelli, S., Turitsyn, S. K., Secondini, M. and Prilepsky, J. E. (2018). Polarization-multiplexed nonlinear inverse synthesis with standard and reduced-complexity NFT processing. Optics Express, 26 (13),

Abstract

In this work, we study the performance of polarization division multiplexing nonlinear inverse synthesis transmission schemes for fiber-optic communications, expected to have reduced nonlinearity impact. Our technique exploits the integrability of the Manakov equation—the master model for dual-polarization signal propagation in a single mode fiber—and employs nonlinear Fourier transform (NFT) based signal processing. First, we generalize some algorithms for the NFT computation to the two- and multicomponent case. Then, we demonstrate that modulating information on both polarizations doubles the channel information rate with a negligible performance degradation. Moreover, we introduce a novel dual-polarization transmission scheme with reduced complexity which separately processes each polarization component and can also provide a performance improvement in some practical scenarios.

Publication DOI: https://doi.org/10.1364/OE.26.017360
Divisions: Engineering & Applied Sciences > Electrical, electronic & power engineering
Engineering & Applied Sciences > Institute of Photonics
Engineering & Applied Sciences > Systems analytics research institute (SARI)
Additional Information: Published by The Optical Society under the terms of the Creative Commons Attribution 4.0 License. Further distribution of this work must maintain attribution to the author(s) and the published article's title, journal citation, and DOI. Funding: Erasmus + mobility programme; EPSRC Programme (TRANSNET); Leverhulme Project (RPG-2018-063); POR FESR (FIPILI3).
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Related URLs: https://www.osa ... =oe-26-13-17360 (Publisher URL)
Published Date: 2018-06-25
Authors: Civelli, S.
Turitsyn, S. K. ( 0000-0003-0101-3834)
Secondini, M.
Prilepsky, J. E.

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