TY - GEN
T1 - Linear network coding for two-unicast-Z networks
T2 - 2017 IEEE International Symposium on Information Theory, ISIT 2017
AU - Fahim, Mohammad
AU - Cadambe, Viveck R.
N1 - Funding Information:
This work is supported by NSF grant No. CCF 1464336.
Publisher Copyright:
© 2017 IEEE.
PY - 2017/8/9
Y1 - 2017/8/9
N2 - We consider a two-unicast-Z network over a directed acyclic graph of unit capacitated edges; the two-unicast-Z network is a special case of two-unicast networks where one of the destinations has apriori side information of the unwanted (interfering) message. In this paper, we settle open questions on the limits of network coding for two-unicast-Z networks by showing that the generalized network sharing bound is not tight, vector linear codes outperform scalar linear codes, and nonlinear codes outperform linear codes in general. We also develop a commutative algebraic approach to deriving linear network coding achievability results, and demonstrate our approach by providing an alternate proof to the previous result of Wang et. al. regarding feasibility of rate (1,1) in the network.
AB - We consider a two-unicast-Z network over a directed acyclic graph of unit capacitated edges; the two-unicast-Z network is a special case of two-unicast networks where one of the destinations has apriori side information of the unwanted (interfering) message. In this paper, we settle open questions on the limits of network coding for two-unicast-Z networks by showing that the generalized network sharing bound is not tight, vector linear codes outperform scalar linear codes, and nonlinear codes outperform linear codes in general. We also develop a commutative algebraic approach to deriving linear network coding achievability results, and demonstrate our approach by providing an alternate proof to the previous result of Wang et. al. regarding feasibility of rate (1,1) in the network.
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U2 - 10.1109/ISIT.2017.8006714
DO - 10.1109/ISIT.2017.8006714
M3 - Conference contribution
AN - SCOPUS:85034088958
T3 - IEEE International Symposium on Information Theory - Proceedings
SP - 1177
EP - 1181
BT - 2017 IEEE International Symposium on Information Theory, ISIT 2017
PB - Institute of Electrical and Electronics Engineers Inc.
Y2 - 25 June 2017 through 30 June 2017
ER -