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Cited by 3,378

The DOI matches its Crossref record; 7 of the 7 references it cites were found in a registry or an index.

Linear network coding

Li, S.-Y.R., Yeung, R.W., Ning Cai·2003·IEEE Transactions on Information Theory

Abstract

Consider a communication network in which certain source nodes multicast information to other nodes on the network in the multihop fashion where every node can pass on any of its received data to others. We are interested in how fast each node can receive the complete information, or equivalently, what the information rate arriving at each node is. Allowing a node to encode its received data before passing it on, the question involves optimization of the multicast mechanisms at the nodes. Among the simplest coding schemes is linear coding, which regards a block of data as a vector over a certain base field and allows a node to apply a linear transformation to a vector before passing it on. We formulate this multicast problem and prove that linear coding suffices to achieve the optimum, which is the max-flow from the source to each receiving node.

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Metadata

Authors
Li, S.-Y. R., Yeung, R. W., & Cai, N.
Venue
IEEE Transactions on Information Theory
Published
2003-02
Volume
49
Issue
2
Pages
371-381
ISSN
0018-9448 (ISSN-L)
OpenAlex
W2106403318
Cited by
3,378
References
7
FWCI
93.84
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: Linear network coding. https://app.cochat.ai/papers/10.1109/tit.2002.807285
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Li, S.-Y. R., Yeung, R. W., & Cai, N. (2003). Linear network coding. IEEE Transactions on Information Theory. https://doi.org/10.1109/tit.2002.807285

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