Multicasting Multiple Correlated Sources to Multiple Sinks Over a Noisy Channel Network

被引:12
|
作者
Han, Te Sun [1 ]
机构
[1] Natl Inst Informat & Commun Technol NICT, Quantum ICT Grp, Koganei, Tokyo 1848795, Japan
关键词
Capacity function; copolymatroid; correlated sources; entropy rate; min-cut; multiple sinks; multiple sources; network coding; polymatroid; transmissibility; THEOREM; WOLF;
D O I
10.1109/TIT.2010.2090223
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
The problem of network coding for multicasting a single source to multiple sinks has first been studied by Ahlswede, Cai, Li, and Yeung in 2000, in which they have established the celebrated max-flow min-cut theorem on nonphysical information flow over a network of independent channels. On the other hand, in 1980, Han has studied the case with multiple correlated sources and a single sink from the viewpoint of polymatroidal functions in which a necessary and sufficient condition has been demonstrated for reliable transmission over the network. This paper presents an attempt to unify both cases, which leads to establish a necessary and sufficient condition for reliable transmission over a network for multicasting multiple correlated sources to multiple sinks. Here, the problem of separation of source coding and network coding is also discussed.
引用
收藏
页码:4 / 13
页数:10
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