Journal article

Large deviation principles for connectable receivers in wireless networks

C Hirsch, B Jahnel, P Keeler, RIA Patterson

Advances in Applied Probability | APPLIED PROBABILITY TRUST | Published : 2016

Abstract

We study large deviation principles for a model of wireless networks consisting of Poisson point processes of transmitters and receivers. To each transmitter we associate a family of connectable receivers whose signal-To-interference-And-noise ratio is larger than a certain connectivity threshold. First, we show a large deviation principle for the empirical measure of connectable receivers associated with transmitters in large boxes. Second, making use of the observation that the receivers connectable to the origin form a Cox point process, we derive a large deviation principle for the rescaled process of these receivers as the connection threshold tends to 0. Finally, we show how these resu..

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University of Melbourne Researchers

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Funding Acknowledgements

The authors thank W. Konig for interesting discussions, and for proposing the topic of this paper and the use of stationary empirical fields. The authors thank M. Renger for the hint to apply the contraction principle for deriving Theorem 2. We also thank T. Brereton for pointing out the reference [17]. This research was supported by the Leibniz group on Probabilistic Methods for Mobile Ad-Hoc Networks.