Modeling of nonlinearity-compensated optical communication systems considering second-order signal-noise interactions.

Nikita A Shevchenko,David J Ives,Domaniç Lavery,Polina Bayvel,Tianhua Xu,Robert I Killey,Gabriele Liga

doi:10.1364/ol.42.003351

Nikita A Shevchenko, David J Ives + Show 5 more

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Journal: Optics letters	Publication Date: Aug 22, 2017
Citations: 12	License type: cc-by

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An analytical model considering modulation-dependent nonlinear effects and second-order interactions between signal and optical amplifier noise is presented for Nyquist-spaced wavelength-division-multiplexing optical communication systems. System performance of dual-polarization modulation formats, such as DP-QPSK, DP-16QAM, and DP-64QAM, is investigated using both the analytical model and numerical simulations. A good agreement between analytical and numerical results shows that, in the case of full-field nonlinearity compensation, accounting for second-order interactions becomes essential to predict system performance of both single- and multi-channel systems at optimum launched powers and beyond. This effect is validated via numerical simulations for signal bandwidths up to ∼1 THz.

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This leads to an increased optimal signal-to-noise ratio (SNR) and optimal transmitted power compared with conventional receiver schemes, such as electronic dispersion compensation (EDC)
In the range of powers, which are of interest for nonlinearitycompensated systems, first-order perturbation analysis is no longer sufficient for accurate characterization of system performance, and second-order nonlinear effects need to be taken into consideration
In [5] it was pointed out that, beyond the optimum power threshold and in the case of full-field (FF) digital backpropagation (DBP), the SNR decreases with a rate of 3 SNR [dB]/power [dB], rather than 1 SNR [dB]/power [dB] as conventional firstorder analytical models predict [6]

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Introduction

The implementation of a model accounting for number of channels and modulation format dependency in second-order S–N interactions enables an accurate investigation of the system achievable information rate (AIR), which is a natural figure of merit in coded communication systems [7,8]. Such a model extends the work in [5] by accounting for the modulation format dependency of second-order S–N interactions in a multi-channel transmission scenario.

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