Network Coding Capacity Regions via Entropy Functions

In this paper, we use entropy functions to characterize the set of rate-capacity tuples achievable with either zero decoding error, or vanishing decoding error, for general network coding problems for acyclic networks. We show that when sources are colocated, the outer bound is tight and the sets of...

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Veröffentlicht in:	IEEE transactions on information theory Jg. 60; H. 9; S. 5347 - 5374
Hauptverfasser:	Chan, Terence H., Grant, Alex
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	New York, NY IEEE 01.09.2014 Institute of Electrical and Electronics Engineers The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Schlagworte:	Applied sciences Coding, codes Decoding Encoding Entropy Error correction & detection Error probability Exact sciences and technology Indexes Information theory Information, signal and communications theory Linear codes Network coding Random variables Routing Secret Signal and communications theory Systems, networks and services of telecommunications Telecommunications Telecommunications and information theory Transmission and modulation (techniques and equipments) Network coding achievable rate regions linearity constraint incremental multicast Packet switching Source coding Error rate Routing Entropy Decoding Data broadcast Information dissemination Multicast Linear code Linear coding Linearity Optimal code Secrecy
ISSN:	0018-9448, 1557-9654
Online-Zugang:	Volltext
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