Higher-Order Asymptotics of Mutual Information for Nonlinear Channels with Non-Gaussian Noise

Authors:
V. V. Prelov;E. C. Van Der Meulen
Affiliations:
Institute for Information Transmission Problems, RAS, Moscow prelov@iitp.ru;Katholieke Universiteit Leuven, Belgium edward.vandermeulen@wis.kuleuven.ac.be
Venue:
Problems of Information Transmission
Year:
2003

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Abstract

Nonlinear channels with non-Gaussian noise where the transmitted signal is a random function of the input signal are considered. Under some assumptions on smoothness and the behavior of tails of the noise density function, higher-order asymptotics of the mutual information between the input and output signals in such channels is obtained, as the mean power of the input signal (or, equivalently, the signal-to-noise ratio) goes to zero.