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Title
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.

More:
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Previous conference papers:

C. Peraki, S. D. Servetto. On the Maximum Stable Throughput Problem in Random Networks with Directional Antennas. In the Proceedings of the 4th ACM International Symposium on Mobile Ad Hoc Networking and Computing (MobiHoc), Annapolis, MD, June 2003.

C. Peraki, S. D. Servetto. Capacity, Stability and Flows in Large-Scale Random Networks. In the Proceedings of the IEEE Information Theory Workshop (ITW), San Antonio, TX, October 2004.