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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,...
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