An achievable region for the double unicast problem based on a minimum cut analysis
Autor: | Aditya Ramamoorthy, Shurui Huang |
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Rok vydání: | 2011 |
Předmět: |
FOS: Computer and information sciences
Theoretical computer science Computer science Computer Science - Information Theory Distributed source coding 050801 communication & media studies 02 engineering and technology Topology Combinatorics Channel capacity 0508 media and communications Minimum cut 0202 electrical engineering electronic engineering information engineering Xcast Electrical and Electronic Engineering Mathematics Linear function (calculus) Multicast Information Theory (cs.IT) 05 social sciences 020206 networking & telecommunications Base (topology) Source-specific multicast Linear network coding Unicast Decoding methods |
Zdroj: | ITW |
DOI: | 10.1109/itw.2011.6089359 |
Popis: | We consider the multiple unicast problem under network coding over directed acyclic networks when there are two source-terminal pairs, $s_1-t_1$ and $s_2-t_2$. Current characterizations of the multiple unicast capacity region in this setting have a large number of inequalities, which makes them hard to explicitly evaluate. In this work we consider a slightly different problem. We assume that we only know certain minimum cut values for the network, e.g., mincut$(S_i, T_j)$, where $S_i \subseteq \{s_1, s_2\}$ and $T_j \subseteq \{t_1, t_2\}$ for different subsets $S_i$ and $T_j$. Based on these values, we propose an achievable rate region for this problem based on linear codes. Towards this end, we begin by defining a base region where both sources are multicast to both the terminals. Following this we enlarge the region by appropriately encoding the information at the source nodes, such that terminal $t_i$ is only guaranteed to decode information from the intended source $s_i$, while decoding a linear function of the other source. The rate region takes different forms depending upon the relationship of the different cut values in the network. Comment: ITW, 2011 |
Databáze: | OpenAIRE |
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