Effect of second order signal-noise interactions in nonlinearity compensated optical transmission systems


In this Letter, we theoretically and numerically analyze the performance of coherent optical transmission systems that deploy inline or transceiver based nonlinearity compensation techniques. For systems where signal-signal nonlinear interactions are fully compensated, we find that beyond the performance peak the signal-to-noise ratio degradation has a slope of 3 dBSNR/dBPower suggesting a quartic rather than quadratic dependence on signal power. This is directly related to the fact that signals in a given span will interact not only with linear amplified spontaneous emission noise, but also with the nonlinear four-wave mixing products generated from signal-noise interaction in previous (hitherto) uncompensated spans. The performance of optical systems employing different nonlinearity compensation schemes were numerically simulated and compared against analytical predictions, showing a good agreement within a 0.4 dB margin of error.

Publication DOI: https://doi.org/10.1364/OL.41.001849
Dataset DOI: https://doi.org/10.17036/421bac57-8e97-43e9-848c-88c604fb0069
Divisions: College of Engineering & Physical Sciences > Aston Institute of Photonics Technology (AIPT)
College of Engineering & Physical Sciences
Additional Information: Funding: EPSRC (EP/J017582/1, EP/L000091/1).
Uncontrolled Keywords: Atomic and Molecular Physics, and Optics
Publication ISSN: 1539-4794
Last Modified: 27 Jun 2024 08:49
Date Deposited: 23 May 2016 12:10
Full Text Link: https://www.osa ... ri=ol-41-8-1849
Related URLs: http://www.scop ... tnerID=8YFLogxK (Scopus URL)
PURE Output Type: Article
Published Date: 2016-04-14
Accepted Date: 2016-03-14
Submitted Date: 2016-01-21
Authors: Al-Khateeb, Mohammad A.Z (ORCID Profile 0000-0002-1367-6777)
McCarthy, Mary (ORCID Profile 0000-0002-1348-1574)
Sánchez, Christian (ORCID Profile 0000-0003-3004-2773)
Ellis, Andrew (ORCID Profile 0000-0002-0417-0547)



Version: Published Version

License: Creative Commons Attribution

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