{"title":"An algebraic mincut-maxflow theorem","authors":"Park, Seyong, Anant Sahaiy","doi":"10.1109/ISIT.2011.6034201","DOIUrl":null,"url":null,"abstract":"Can we design a communication network just like a huge linear time-invariant filter? To answer this question, we generalize the celebrated mincut-maxflow theorem to linear time-invariant networks where edges are labeled with transfer functions instead of integer capacity constraints. We prove that when the transfer functions are linear time-invariant, the fundamental design limit, mincut, is achievable by a linear time-invariant scheme regardless of the topology of the network. Whereas prior works are based on layered networks, our proof has a novel way of converting an arbitrary relay network to an equivalent acyclic single-hop relay network, which we call Network Linearization. This theorem also reveals a strong connection between network coding and linear system theory.","PeriodicalId":92224,"journal":{"name":"International Symposium on Information Theory and its Applications. International Symposium on Information Theory and its Applications","volume":null,"pages":null},"PeriodicalIF":0.0000,"publicationDate":"2011-10-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"9","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"International Symposium on Information Theory and its Applications. International Symposium on Information Theory and its Applications","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ISIT.2011.6034201","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 9

Abstract

Can we design a communication network just like a huge linear time-invariant filter? To answer this question, we generalize the celebrated mincut-maxflow theorem to linear time-invariant networks where edges are labeled with transfer functions instead of integer capacity constraints. We prove that when the transfer functions are linear time-invariant, the fundamental design limit, mincut, is achievable by a linear time-invariant scheme regardless of the topology of the network. Whereas prior works are based on layered networks, our proof has a novel way of converting an arbitrary relay network to an equivalent acyclic single-hop relay network, which we call Network Linearization. This theorem also reveals a strong connection between network coding and linear system theory.
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代数最小分割-最大流定理
我们能不能把通信网络设计成一个巨大的线性时不变滤波器?为了回答这个问题,我们将著名的最小分割-最大流量定理推广到线性时不变网络中,其中的边被标记为传递函数而不是整数容量约束。证明了当传递函数为线性时不变时,无论网络的拓扑结构如何,都可以通过线性时不变方案实现基本设计极限最小割。鉴于先前的工作是基于分层网络,我们的证明有一种将任意中继网络转换为等效无环单跳中继网络的新方法,我们称之为网络线性化。该定理还揭示了网络编码与线性系统理论之间的紧密联系。
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