SINR in wireless networks and the two-parameter Poisson-Dirichlet process

Holger Paul Keeler 1 Bartlomiej Blaszczyszyn 1
1 DYOGENE - Dynamics of Geometric Networks
DI-ENS - Département d'informatique de l'École normale supérieure, Inria Paris-Rocquencourt, CNRS - Centre National de la Recherche Scientifique : UMR8548
Abstract : Stochastic geometry models of wireless networks based on Poisson point processes are increasingly being developed with a focus on studying various signal-to-interference-plus-noise ratio (SINR) values. We show that the SINR values experienced by a typical user with respect to different base stations of a Poissonian cellular network are related to a specific instance of the so-called two-parameter Poisson-Dirichlet process. This process has many interesting properties as well as applications in various fields. We give examples of several results proved for this process that are of immediate or potential interest in the development of analytic tools for cellular networks. Some of them simplify or are akin to certain results that are recently being developed in wireless networks literature. By doing this we hope to motivate further research and use of Poisson-Dirichlet processes in this new setting.
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IEEE wireless communications letters, IEEE comsoc, 2014, 3 (5), pp.525-528. 〈10.1109/LWC.2014.2345691〉
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Dernière modification le : vendredi 25 mai 2018 - 12:02:07
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Holger Paul Keeler, Bartlomiej Blaszczyszyn. SINR in wireless networks and the two-parameter Poisson-Dirichlet process. IEEE wireless communications letters, IEEE comsoc, 2014, 3 (5), pp.525-528. 〈10.1109/LWC.2014.2345691〉. 〈hal-01002977v5〉

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