A Generalized Ozarow-Wyner Capacity Bound with Applications

被引：0

作者：

Dytso, Alex ^{[1
]}

Goldenbaum, Mario ^{[1
]}

Poor, H. Vincent ^{[1
]}

Shamai , Shlomo ^{[2
]}

机构：

[1] Princeton Univ, Dept Elect Engn, Princeton, NJ 08544 USA

[2] Technion Israel Inst Technol, Dept Elect Engn, Haifa, Israel

来源：

2017 IEEE INTERNATIONAL SYMPOSIUM ON INFORMATION THEORY (ISIT) | 2017年

基金：

美国国家科学基金会;

关键词：

Ozarow-Wyner bound; capacity approximation; Cauchy noise; additive noise channel; CHANNEL; INTERFERENCE; INFORMATION;

D O I：

暂无

中图分类号：

TP301 [理论、方法];

学科分类号：

081202 ;

摘要：

In this paper, a generalized Ozarow-Wyner capacity bound is presented that holds for arbitrary noise channels. The bound is then used to approximate the capacity of a large class of additive noise channels that are subject to a p-th moment input constraint, where p is some positive real number, as well as to the Cauchy noise channel with a logarithmic moment constraint. For both channel models the gap to the capacity is precisely specified.

引用

页码：1058 / 1062

页数：5

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