DocumentCode :
1410590
Title :
Multicasting Multiple Correlated Sources to Multiple Sinks Over a Noisy Channel Network
Author :
Han, Te Sun
Author_Institution :
Quantum-ICT Group, Nat. Inst. of Inf. & Commun. Technol. (NICT), Tokyo, Japan
Volume :
57
Issue :
1
fYear :
2011
Firstpage :
4
Lastpage :
13
Abstract :
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.
Keywords :
channel coding; minimax techniques; multicast communication; source coding; max-flow min-cut theorem; multiple correlated sources multicasting; multiple sinks; network coding; noisy channel network; nonphysical information flow; polymatroidal function; source coding; Decoding; Encoding; Entropy; Error probability; Markov processes; Network coding; Noise measurement; Capacity function; copolymatroid; correlated sources; entropy rate; min-cut; multiple sinks; multiple sources; network coding; polymatroid; transmissibility;
fLanguage :
English
Journal_Title :
Information Theory, IEEE Transactions on
Publisher :
ieee
ISSN :
0018-9448
Type :
jour
DOI :
10.1109/TIT.2010.2090223
Filename :
5673801
Link To Document :
بازگشت