Algebraic approach to random convolutional network coding over wireless packet networks

被引：0

作者：

Guo W. ^{[1
]}

Liu B. ^{[1
]}

Jiang F. ^{[2
]}

机构：

[1] State Key Laboratory of Integrated Services Network, Xidian University

[2] Information and Navigation College, Air Force Engineering University

来源：

Guo, W. (wangmeiguo@mail.xidian.edu.cn) | 1600年 / Tianjin University卷 / 19期

基金：

中国国家自然科学基金;

关键词：

capacity-achieving; hypergraph; random convolutional network coding; wireless network coding;

D O I：

10.1007/s12209-013-1918-7

中图分类号：

学科分类号：

摘要：

To characterize the algebraic structure of wireless network coding, a hypergragh is utilized to model wireless packet networks from network layer. The algebraic description of random convolutional network coding is deduced, and the coding condition is also presented. Analyses and simulations show that random convolutional coding is capacity-achieving with probability approaching 1. © 2013 Tianjin University and Springer-Verlag Berlin Heidelberg.

引用

页码：307 / 312

页数：5

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