{"title":"在点对点通信网络上","authors":"Lihua Song, R. Yeung","doi":"10.1109/ISIT.2000.866311","DOIUrl":null,"url":null,"abstract":"A point-to-point communication network is represented by (G,C), where G=(V,/spl epsiv/) is a directed graph with vertex set V and edge set /spl epsiv/, and C=[C/sub ij/,(i,j)/spl isin//spl epsiv/] is a nonnegative-valued vector. A vertex in V represents a node in the communication network, and an edge (i,j) represents a point-to-point discrete memoryless channel (DMC) from node i to node j whose capacity is C/sub ij/. We assume that the channels in the network are independent of each other. An information source with entropy rate h is generated at source node /spl delta/ and recovered at sink node t with arbitrarily small probability of error. We show that the value of a max-flow from node /spl delta/ to node t in (G,C) must be greater than or equal to h. This results implies a separation theorem for network coding and channel coding in such a communication network.","PeriodicalId":108752,"journal":{"name":"2000 IEEE International Symposium on Information Theory (Cat. No.00CH37060)","volume":"32 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2000-06-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"3","resultStr":"{\"title\":\"On point-to-point communication networks\",\"authors\":\"Lihua Song, R. Yeung\",\"doi\":\"10.1109/ISIT.2000.866311\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"A point-to-point communication network is represented by (G,C), where G=(V,/spl epsiv/) is a directed graph with vertex set V and edge set /spl epsiv/, and C=[C/sub ij/,(i,j)/spl isin//spl epsiv/] is a nonnegative-valued vector. A vertex in V represents a node in the communication network, and an edge (i,j) represents a point-to-point discrete memoryless channel (DMC) from node i to node j whose capacity is C/sub ij/. We assume that the channels in the network are independent of each other. An information source with entropy rate h is generated at source node /spl delta/ and recovered at sink node t with arbitrarily small probability of error. We show that the value of a max-flow from node /spl delta/ to node t in (G,C) must be greater than or equal to h. This results implies a separation theorem for network coding and channel coding in such a communication network.\",\"PeriodicalId\":108752,\"journal\":{\"name\":\"2000 IEEE International Symposium on Information Theory (Cat. No.00CH37060)\",\"volume\":\"32 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2000-06-25\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"3\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2000 IEEE International Symposium on Information Theory (Cat. No.00CH37060)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ISIT.2000.866311\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2000 IEEE International Symposium on Information Theory (Cat. No.00CH37060)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ISIT.2000.866311","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
A point-to-point communication network is represented by (G,C), where G=(V,/spl epsiv/) is a directed graph with vertex set V and edge set /spl epsiv/, and C=[C/sub ij/,(i,j)/spl isin//spl epsiv/] is a nonnegative-valued vector. A vertex in V represents a node in the communication network, and an edge (i,j) represents a point-to-point discrete memoryless channel (DMC) from node i to node j whose capacity is C/sub ij/. We assume that the channels in the network are independent of each other. An information source with entropy rate h is generated at source node /spl delta/ and recovered at sink node t with arbitrarily small probability of error. We show that the value of a max-flow from node /spl delta/ to node t in (G,C) must be greater than or equal to h. This results implies a separation theorem for network coding and channel coding in such a communication network.