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 de l'École normale supérieure, 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.
Type de document :
Communication dans un congrès
WiOpt'10: Modeling and Optimization in Mobile, Ad Hoc, and Wireless Networks, May 2010, Avignon, France. IEEE, pp.465-471, 2010, 〈http://ieeexplore.ieee.org/xpl/articleDetails.jsp;jsessionid=q4bhPTmCWKLsCtqP05QH2vK66MQGrnv2YzGKLphML3y2vP6bcn6G!404601900?arnumber=5520223&contentType=Conference+Publications〉
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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. IEEE, pp.465-471, 2010, 〈http://ieeexplore.ieee.org/xpl/articleDetails.jsp;jsessionid=q4bhPTmCWKLsCtqP05QH2vK66MQGrnv2YzGKLphML3y2vP6bcn6G!404601900?arnumber=5520223&contentType=Conference+Publications〉. 〈inria-00503054〉

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