A Direct Approach to Computing Spatially Averaged Outage Probability

This letter describes a direct method for computing the spatially averaged outage probability of a network with interferers located according to a point process and signals subject to fading. Unlike most common approaches, it does not require transforms such as a Laplace transform. Examples show how...

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Published inIEEE communications letters Vol. 18; no. 7; pp. 1103 - 1106
Main Authors Valenti, Matthew C., Torrieri, Don, Talarico, Salvatore
Format Journal Article
LanguageEnglish
Published New York, NY IEEE 01.07.2014
Institute of Electrical and Electronics Engineers
The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subjects
Online AccessGet full text
ISSN1089-7798
1558-2558
DOI10.1109/LCOMM.2014.2317740

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Abstract This letter describes a direct method for computing the spatially averaged outage probability of a network with interferers located according to a point process and signals subject to fading. Unlike most common approaches, it does not require transforms such as a Laplace transform. Examples show how to directly obtain the outage probability in the presence of Rayleigh fading in networks whose interferers are drawn from binomial and Poisson point processes defined over arbitrary regions. We furthermore show that, by extending the arbitrary region to the entire plane, the result for Poisson point processes converges to the same expression found by Baccelli et al.
AbstractList This letter describes a direct method for computing the spatially averaged outage probability of a network with interferers located according to a point process and signals subject to fading. Unlike most common approaches, it does not require transforms such as a Laplace transform. Examples show how to directly obtain the outage probability in the presence of Rayleigh fading in networks whose interferers are drawn from binomial and Poisson point processes defined over arbitrary regions. We furthermore show that, by extending the arbitrary region to the entire plane, the result for Poisson point processes converges to the same expression found by Baccelli et al. [PUBLICATION ABSTRACT]
This letter describes a direct method for computing the spatially averaged outage probability of a network with interferers located according to a point process and signals subject to fading. Unlike most common approaches, it does not require transforms such as a Laplace transform. Examples show how to directly obtain the outage probability in the presence of Rayleigh fading in networks whose interferers are drawn from binomial and Poisson point processes defined over arbitrary regions. We furthermore show that, by extending the arbitrary region to the entire plane, the result for Poisson point processes converges to the same expression found by Baccelli et al.
Author Torrieri, Don
Valenti, Matthew C.
Talarico, Salvatore
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Keywords stochastic geometry
interference modeling
fading
Outage probability
point processes
Outage
Modeling
Poisson process
Direct method
Electromagnetic wave propagation
Point process
Electromagnetic wave attenuation
Laplace transformation
Rayleigh fading
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SubjectTerms Applied classical electromagnetism
Applied sciences
Diffraction, scattering, reflection
Electromagnetic wave propagation, radiowave propagation
Electromagnetism; electron and ion optics
Exact sciences and technology
Fundamental areas of phenomenology (including applications)
Interference
Physics
Radiocommunications
Radiowave propagation
Rayleigh channels
Receivers
Shape
Signal to noise ratio
Telecommunications
Telecommunications and information theory
Wireless networks
Title A Direct Approach to Computing Spatially Averaged Outage Probability
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