Performance emulation and parameter estimation for nonlinear fibre-optic links

Fibre-optic communication systems, especially when operating in the nonlinear regime, generally do not perform exactly as theory would predict. A number of methods for data-based evaluation of nonlinear fibre-optic link parameters, both for accurate performance emulation and optimization, are reviewed. In particular, single-step nonlinear impairment based on the Gaussian mixture model, adaptive digital backpropagation, and extension to higher-dimensional spaces using Monte Carlo Markov chains are discussed.

[1]  Xiang Liu,et al.  Phase-conjugated twin waves for communication beyond the Kerr nonlinearity limit , 2013, Nature Photonics.

[2]  Polina Bayvel,et al.  On the performance of multichannel digital backpropagation in high-capacity long-haul optical transmission. , 2014, Optics express.

[3]  Darko Zibar,et al.  Single-Step Emulation of Nonlinear Fiber-Optic Link with Gaussian Mixture Model , 2015 .

[4]  Zhenning Tao,et al.  Multiplier-Free Intrachannel Nonlinearity Compensating Algorithm Operating at Symbol Rate , 2011, Journal of Lightwave Technology.

[5]  Ronen Dar,et al.  Properties of nonlinear noise in long, dispersion-uncompensated fiber links , 2013, Optics express.

[6]  Darko Zibar,et al.  Nonlinear compensation with modified adaptive digital backpropagation in flexigrid networks , 2015, 2015 Conference on Lasers and Electro-Optics (CLEO).

[7]  Andre Richter,et al.  Link Emulation and Importance Sampling for Performance estimation of DSP-based Transmission Systems , 2014 .

[8]  Gabriella Bosco,et al.  EGN model of non-linear fiber propagation. , 2014, Optics express.

[9]  Rameez Asif,et al.  Nonlinear mitigation using carrier phase estimation and digital backward propagation in coherent QAM transmission , 2012, 2012 38th European Conference and Exhibition on Optical Communications.

[10]  J. Kahn,et al.  Compensation of Dispersion and Nonlinear Impairments Using Digital Backpropagation , 2008, Journal of Lightwave Technology.

[11]  Maxim Kuschnerov,et al.  Performance dependence of single-carrier digital back-propagation on fiber types and data rates , 2014, OFC 2014.

[12]  F. Guiomar,et al.  Simplified Volterra Series Nonlinear Equalizer for Polarization-Multiplexed Coherent Optical Systems , 2013, Journal of Lightwave Technology.

[13]  Radford M. Neal.  Pattern Recognition and Machine Learning , 2007, Technometrics.

[14]  E. Agrell,et al.  Modeling of Nonlinear Signal Distortion in Fiber-Optic Networks , 2013, Journal of Lightwave Technology.

[15]  P. Winzer,et al.  Capacity Limits of Optical Fiber Networks , 2010, Journal of Lightwave Technology.

[16]  James C. Spall,et al.  Estimation via Markov chain Monte Carlo , 2002, Proceedings of the 2002 American Control Conference (IEEE Cat. No.CH37301).

[17]  A. Ellis,et al.  Capacity limits of systems employing multiple optical phase conjugators. , 2015, Optics express.

[18]  A Yariv,et al.  Compensation for channel dispersion by nonlinear optical phase conjugation. , 1979, Optics letters.