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A Stochastic Geometry Model for the Best Signal Quality in a Wireless Network

Minh Nguyen Van 1 François Baccelli 2 
2 TREC - Theory of networks and communications
DI-ENS - Département d'informatique - ENS Paris, Inria Paris-Rocquencourt
Abstract : In a wireless network composed of randomly scattered nodes, the characterization of the distribution of the best signal quality received from a group of nodes is of primary importance for many network design problems. In this paper, using shot noise models for the interference field, we develop a framework for analyzing this distribution. We first identify the joint distribution of the interference and the maximum signal strength. We then represent the best signal quality as a function of these two quantities. Particular practical scenarios are also analyzed in which explicit expressions are obtained.
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https://hal.inria.fr/inria-00503054
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Submitted on : Friday, July 16, 2010 - 2:37:16 PM
Last modification on : Thursday, March 17, 2022 - 10:08:29 AM
Long-term archiving on: : Friday, October 22, 2010 - 2:49:25 PM

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  • HAL Id : inria-00503054, version 1

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Minh Nguyen Van, François Baccelli. A Stochastic Geometry Model for the Best Signal Quality in a Wireless Network. WiOpt'10: Modeling and Optimization in Mobile, Ad Hoc, and Wireless Networks, May 2010, Avignon, France. pp.465-471. ⟨inria-00503054⟩

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