{"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.