DocumentCode :
3119682
Title :
Space information flow: Multiple unicast
Author :
Li, Zongpeng ; Wu, Chuan
Author_Institution :
Dept. of Comput. Sci., Univ. of Calgary, Calgary, AB, Canada
fYear :
2012
fDate :
1-6 July 2012
Firstpage :
1897
Lastpage :
1901
Abstract :
The multiple unicast network coding conjecture states that for multiple unicast in an undirected network, network coding is equivalent to routing. Simple and intuitive as it appears, the conjecture has remained open since its proposal in 2004 [1], [2], and is now a well-known unsolved problem in the field of network coding. In this work, we provide a proof to the conjecture in its space/geometric version. Space information flow is a new paradigm being proposed [3], [4]. It studies the transmission of information in a geometric space, where information flows are free to propagate along any trajectories, and may be encoded wherever they meet. The goal is to minimize a natural bandwidth-distance sum-product (network volume), while sustaining end-to-end unicast and multicast communication demands among terminals at known coordinates. The conjecture is true in networks only if it is true in space. Our main result is that network coding is indeed equivalent to routing in the space model. Besides its own merit, this partially verifies the original conjecture, and further leads to a geometric framework [5] for a hopeful proof to the conjecture.
Keywords :
multicast communication; network coding; telecommunication network routing; conjecture states; end-to-end unicast communication demands; multicast communication demands; multiple unicast network coding; natural bandwidth-distance sum-product; network volume; routing; space information flow; space/geometric version; undirected network; unsolved problem; Encoding; Network coding; Routing; Throughput; Unicast; Vectors;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Information Theory Proceedings (ISIT), 2012 IEEE International Symposium on
Conference_Location :
Cambridge, MA
ISSN :
2157-8095
Print_ISBN :
978-1-4673-2580-6
Electronic_ISBN :
2157-8095
Type :
conf
DOI :
10.1109/ISIT.2012.6283627
Filename :
6283627
Link To Document :
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