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arxiv: 1411.7477 · v2 · pith:AEUZMP3Enew · submitted 2014-11-27 · 💻 cs.IT · math.IT

Mutual information in nonlinear communication channel. Preliminary analytical results in large SNR and small nonlinearity limit

classification 💻 cs.IT math.IT
keywords informationmutualnonlinearityanalyticalcorrectionsmathrmnonlinearchannel
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Applying perturbation theory to the path-integral representation for the mutual information of the nonlinear communication channel described by the nonlinear Shr\"{o}dinger equation (NLSE) with the additive Gaussian noise we analyze the analytical expression for the mutual information at large signal-to-noise ratio ($\mathrm{SNR}$) and small nonlinearity. We classify all possible corrections to the mutual information in nonlinearity parameter and demonstrate that all singular in $\mathrm{SNR}$ terms vanish in the final result. Furthermore our analytical result demonstrates that the corrections to Shannon's contribution to the mutual information in the leading order in $\mathrm{SNR}$ are of order of squared nonlinearity parameter. We outline the way for the calculation of these corrections in the further investigations.

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