Computer Science – Information Theory
Scientific paper
2008-09-08
Computer Science
Information Theory
22 pages, 4 figures, Submitted to JSAC Special Issue on Stochastic Geometry and Random Graphs for Wireless Networks
Scientific paper
Intrigued by the capacity of random networks, we start by proving a max-flow min-cut theorem that is applicable to any random graph obeying a suitably defined independence-in-cut property. We then show that this property is satisfied by relevant classes, including small world topologies, which are pervasive in both man-made and natural networks, and wireless networks of dual devices, which exploit multiple radio interfaces to enhance the connectivity of the network. In both cases, we are able to apply our theorem and derive max-flow min-cut bounds for network information flow.
Barros João
Costa Rui A.
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