On the random coding exponent of nonlinear gaussian channels

被引：1

作者：

Xenoulis, Kostis ^{[1
]}

Kalouptsidis, Nicholas ^{[1
]}

机构：

[1] Natl & Kapodistrian Univ Athens, Dept Informat & Telecommun, Athens 15784, Greece

来源：

ITW: 2009 IEEE INFORMATION THEORY WORKSHOP ON NETWORKING AND INFORMATION THEORY | 2009年

关键词：

D O I：

10.1109/ITWNIT.2009.5158536

中图分类号：

TP3 [计算技术、计算机技术];

学科分类号：

0812 ;

摘要：

A random coding theorem for nonlinear additive gaussian channels is presented. Modeling the channel's nonlinear behavior as a causal, stationary Volterra system and under maximum likelihood decoding, an upper bound on the average error probability is obtained. The proposed bound is deduced by deploying exponential martingale inequalities. Cubic nonlinearities are used as example to illustrate the validity of the random coding exponent and the usefulness of the proposed technique in the treatment of nonlinear channels.

引用

页码：32 / 36

页数：5

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