通信网信道容量研究

IF 2.6 3区数学 Q1 MATHEMATICS, INTERDISCIPLINARY APPLICATIONS

Journal of Systems Science & Complexity Pub Date : 2008-11-08 DOI:10.1109/CANS.2008.19

F. Emmert-Streib, M. Dehmer

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引用次数: 0

摘要

我们提出了一种量化网络通信能力的新方法。更准确地说，在本文中，我们证明了众所周知的信息论中引入的无记忆信道的信道容量可以定义为任意有向网络。我们认为，这种新的度量，我们称之为网络信道容量，可能有助于表征和分类通信网络。作为第一个例子，我们给出了随机网络的结果并讨论了实际意义。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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Towards a Channel Capacity of Communication Networks

We propose a new measure that quantifies the communication capabilities of networks. More precisely, in this paper we show that the well known channel capacity of a memoryless channel, introduced in information theory, can be defined for arbitrary directed networks. We argue that this new measure, which we call network channel capacity, might be useful for characterizing and classifying communication networks. As first examples we present results for random networks and discuss practical implications.

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来源期刊

Journal of Systems Science & Complexity 数学-数学跨学科应用

CiteScore

3.80

自引率

9.50%

发文量

审稿时长

6-12 weeks

期刊介绍： The Journal of Systems Science and Complexity is dedicated to publishing high quality papers on mathematical theories, methodologies, and applications of systems science and complexity science. It encourages fundamental research into complex systems and complexity and fosters cross-disciplinary approaches to elucidate the common mathematical methods that arise in natural, artificial, and social systems. Topics covered are: complex systems, systems control, operations research for complex systems, economic and financial systems analysis, statistics and data science, computer mathematics, systems security, coding theory and crypto-systems, other topics related to systems science.