DocumentCode :
1780277
Title :
Two-unicast is hard
Author :
Kamath, Sanmati ; Tse, David N. C. ; Chih-Chun Wang
Author_Institution :
ECE Dept., Univ. of California, San Diego, La Jolla, CA, USA
fYear :
2014
fDate :
June 29 2014-July 4 2014
Firstpage :
2147
Lastpage :
2151
Abstract :
Consider the k-unicast network coding problem over an acyclic wireline network: Given a rate vector k-tuple, determine whether the network of interest can support k unicast flows with those rates. It is well known that the one-unicast problem is easy and that it is solved by the celebrated max-flow min-cut theorem. The hardness of k-unicast problems with small k has been an open problem. We show that the two-unicast problem is as hard as any k-unicast problem for k ≥ 3. Our result suggests that the difficulty of a network coding instance is related more to the magnitude of the rates in the rate tuple than to the number of unicast sessions. As a consequence of our result and other well-known results, we show that linear coding is insufficient to achieve capacity, and non-Shannon inequalities are necessary for characterizing capacity, even for two-unicast networks.
Keywords :
linear codes; minimax techniques; network coding; stochastic processes; vectors; acyclic wireline network; k-unicast network coding problem; linear coding; max-flow min-cut theorem; nonShannon inequalities; one-unicast problem; rate vector k-tuple; stochastic networks; two-unicast problem; unicast flows; Channel coding; Network coding; Random variables; Unicast; Vectors;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Information Theory (ISIT), 2014 IEEE International Symposium on
Conference_Location :
Honolulu, HI
Type :
conf
DOI :
10.1109/ISIT.2014.6875213
Filename :
6875213
Link To Document :
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