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 in | IEEE communications letters Vol. 18; no. 7; pp. 1103 - 1106 |
|---|---|
| Main Authors | , , |
| Format | Journal Article |
| Language | English |
| Published |
New York, NY
IEEE
01.07.2014
Institute of Electrical and Electronics Engineers The Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subjects | |
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| ISSN | 1089-7798 1558-2558 |
| DOI | 10.1109/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. |
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| 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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| Copyright | 2015 INIST-CNRS Copyright The Institute of Electrical and Electronics Engineers, Inc. (IEEE) Jul 2014 |
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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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