1st International ICST Workshop on Spatial Stochastic Models for Wireless Networks

Research Article

Large deviations of the interference in a wireless communication model

Cite
BibTeX Plain Text
  • @INPROCEEDINGS{10.1109/WIOPT.2007.4480083,
    author={Ayalvadi Ganesh and Giovanni Luca Torrisi},
    title={Large deviations of the interference in a wireless communication model},
    proceedings={1st International ICST Workshop on Spatial Stochastic Models for Wireless Networks},
    publisher={IEEE},
    proceedings_a={SPASWIN},
    year={2008},
    month={3},
    keywords={Large deviations  Poisson process  Subexponential distributions  Wireless communication},
    doi={10.1109/WIOPT.2007.4480083}
}
  • Ayalvadi Ganesh
    Giovanni Luca Torrisi
    Year: 2008
    Large deviations of the interference in a wireless communication model
    SPASWIN
    IEEE
    DOI: 10.1109/WIOPT.2007.4480083
Ayalvadi Ganesh1,*, Giovanni Luca Torrisi2,*
  • 1: Microsoft Research 7 J J Thomson Ave Cambridge CB3 OFB, UK
  • 2: Istituto per le Applicazioni del Calcolo "Mauro Picone" (IAC), Consiglio Nazionale delle Ricerche (CNR), Viale del Policlinico 137, 1-00161 Roma, Itali
*Contact email: ajg@microsoft.com, torrisi@iac.rm.cnr.it

Abstract

Interference from other users limits the capacity, and possibly the connectivity, of wireless networks. In this paper, we consider a simple model of a wireless ad-hoc network where node locations are described by a homogeneous Poisson point process, and node transmission powers are random. We obtain a large deviation principle for the total interference in this model, and relate the speed of this large deviation principle to the tail of the distribution of transmission powers.

Keywords
Large deviations Poisson process Subexponential distributions Wireless communication
Published
2008-03-31
Publisher
IEEE
Modified
2011-07-28
http://dx.doi.org/10.1109/WIOPT.2007.4480083
Copyright © 2007–2024 IEEE
EAI Logo

About EAI

Community

Publish with EAI