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We present a method for the accurate prediction of BER in nonlinear systems, taking into account the temporal correlations of the nonlinear interference noise and incorporating the effect of an adaptive receiver.
We present a detailed statistical model of nonlinear interference noise (NLIN) in optical communication systems. We demonstrate an efficient method of calculating second-order statistics of the NLIN coefficients, particularly their temporal autocorrelation and cross correlation. The model is highly accurate in predicting system performance metrics such as bit-error-rate and signal-to-noise ratio,...
We review the modeling of nonlinear interference noise (NLIN) in fiber communications, focusing on the accurate extraction of the NLIN variance, the dependence on modulation format, the role of nonlinear phase-noise and the existence of temporal correlations. We show ways in which temporal correlations can be exploited for reducing the impact of NLIN, and discuss the prospects of this procedure in...
We demonstrate mitigation of inter-channel nonlinear interference noise (NLIN) in WDM systems for several amplification schemes. Using a practical decision directed recursive least-squares algorithm, we take advantage of the temporal correlations of NLIN to achieve a notable improvement in system performance.
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