On Multiflows in Random Unit-Disk Graphs, and
the Capacity of Some Wireless Networks.
Authors
C. Peraki, S. D. Servetto.
Status
IEEE Transactions on Information Theory; Submitted, March 2005.
Abstract
We consider the capacity problem for wireless networks. Networks
are modeled as random unit-disk graphs, and the capacity problem is
formulated as one of finding the maximum value of a multicommodity
flow. In this paper, we develop a proof technique based on which
we are able to obtain a tight characterization of the solution to
the linear program associated with the multiflow problem, to within
constants independent of network size. We also use this proof method
to analyze network capacity for a variety of transmitter/receiver
architectures, for which we obtain some conclusive results. These
results contain as a special case (and strengthen) those of Gupta
and Kumar for random networks, for which a new derivation is provided
using only elementary counting and discrete probability tools.