Title :
Computing Linear Functions by Linear Coding Over Networks
Author :
Appuswamy, Rathinakumar ; Franceschetti, Massimo
Author_Institution :
IBM Res. - Almaden, San Jose, CA, USA
Abstract :
We consider the scenario in which a set of sources generates messages in a network and a receiver node demands an arbitrary linear function of these messages. We formulate an algebraic test to determine whether an arbitrary network can compute linear functions using linear codes. We identify a class of linear functions that can be computed using linear codes in every network that satisfies a natural cut-based condition. Conversely, for another class of linear functions, we show that the cut-based condition does not guarantee the existence of a linear coding solution. For linear functions over the binary field, the two classes are complements of each other.
Keywords :
linear codes; binary field; linear codes; linear functions; natural cut-based condition; receiver node; Decoding; Linear codes; Network coding; Polynomials; Receivers; Vectors; Function computation; linear coding; network coding; network computing;
Journal_Title :
Information Theory, IEEE Transactions on
DOI :
10.1109/TIT.2013.2283075