Computer Science – Information Theory
Scientific paper
2007-02-09
Computer Science
Information Theory
5 pages, 4 figures. Submitted to 2007 IEEE International Symposium on Information Theory
Scientific paper
Random linear network coding is a particularly decentralized approach to the multicast problem. Use of random network codes introduces a non-zero probability however that some sinks will not be able to successfully decode the required sources. One of the main theoretical motivations for random network codes stems from the lower bound on the probability of successful decoding reported by Ho et. al. (2003). This result demonstrates that all sinks in a linearly solvable network can successfully decode all sources provided that the random code field size is large enough. This paper develops a new bound on the probability of successful decoding.
Grant Alex
Tauste-Campo Adria
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