2016
DOI: 10.1109/jphot.2016.2566341
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Adaptive Optimization of Quantized Perturbation Coefficients for Fiber Nonlinearity Compensation

Abstract: In the perturbation-based nonlinearity compensation (PB-NLC) technique, quantization of perturbation coefficients is employed for reduction of computational and implementation complexity. In this paper, we propose and experimentally verify the adoption of a decision-directed least mean square algorithm for optimization and complexity reduction of PB-NLC equalizer. We show that for 32-GBaud dual polarization 16-QAM after 2560 km of single-mode fiber, the proposed scheme further reduces the computational term by… Show more

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Cited by 4 publications
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“…On the other hand, the perturbation-based NLC requires a large number of perturbation terms and that affects its practical implementation. Recent research works have been proposed to reduce the number of perturbation terms [76], [81].…”
Section: Perturbation-based Nlcmentioning
confidence: 99%
“…On the other hand, the perturbation-based NLC requires a large number of perturbation terms and that affects its practical implementation. Recent research works have been proposed to reduce the number of perturbation terms [76], [81].…”
Section: Perturbation-based Nlcmentioning
confidence: 99%