Computer Science – Information Theory
Scientific paper
2011-08-31
Computer Science
Information Theory
16 pages
Scientific paper
Information does not generally behave like a flow in communication networks with multiple sources and sinks. However, it is often conceptually and practically useful to be able to associate separate data streams with each source-sink pair, with only routing and no coding performed at the network nodes. This raises the question of whether there is a nontrivial class of network topologies for which achievability is always equivalent to "routability", for any combination of source signals and positive channel capacities. This paper considers possibly cyclic, directed, errorless networks with n source-sink pairs, mutually independent source signals, and a relaxed communication objective in terms of demanded information rates at sinks. The concept of triangularizability} is introduced, and it is shown that if the network topology is triangularizable then a given combination of source signals, demand rates and channel capacities is achievable if and only if the digraph supports a feasible multicommodity flow.
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