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- W1929558723 abstract "We consider a model nondispersive nonlinear optical fiber channel with additive white Gaussian noise at large $mathrm{SNR}$ (signal-to-noise ratio) in the intermediate power region. Using Feynman path-integral technique we for the first time find the optimal input signal distribution maximizing the channel's per-sample mutual information. The finding of the optimal input signal distribution allows us to improve previously known estimates for the channel capacity. The output signal entropy, conditional entropy, and per-sample mutual information are calculated for Gaussian, half-Gaussian and modified Gaussian input signal distributions. We explicitly show that in the intermediate power regime the per-sample mutual information for the optimal input signal distribution is greater than the per-sample mutual information for the Gaussian and half-Gaussian input signal distributions." @default.
- W1929558723 created "2016-06-24" @default.
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- W1929558723 date "2015-08-24" @default.
- W1929558723 modified "2023-09-27" @default.
- W1929558723 title "Optimal input signal distribution and per-sample mutual information for nondispersive nonlinear optical fiber channel in large SNR limit" @default.
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