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Elusive capacity of networks: Calculating data network's total capacity notoriously difficult, but theorists making some headway |
May 16, 2012
In its early years, information theory was dominated by research on error-correcting codes: How do you encode information so as to guarantee its faithful transmission, even in the presence of the corrupting influences engineers call "noise"? Recently, one of the most intriguing developments in information theory has been a different kind of coding, called network coding, in which the question is how to encode information in order to maximize the capacity of a network as a whole. For information theorists, it was natural to ask how these two types of coding might be combined: If you want to both minimize error and maximize capacity, which kind of coding do you apply where, and when do you do the decoding?
Link: http://www.sciencedaily.com/releases/2012/05/120515165330.htm
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