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Stochastic Geometry for Wireless Networks Hardcover - 2012 - 1st Edition
by Martin Haenggi
Details
- Title Stochastic Geometry for Wireless Networks
- Author Martin Haenggi
- Binding Hardcover
- Edition number 1st
- Edition 1
- Pages 302
- Volumes 1
- Language ENG
- Publisher Cambridge University Press
- Date 2012-10-18
- Illustrated Yes
- ISBN 9781107014695 / 1107014697
- Weight 1.5 lbs (0.68 kg)
- Dimensions 9.7 x 6.9 x 0.8 in (24.64 x 17.53 x 2.03 cm)
-
Themes
- Aspects (Academic): Science/Technology Aspects
- Library of Congress subjects Stochastic models, Wireless communication systems - Mathematics
- Library of Congress Catalog Number 2012034887
- Dewey Decimal Code 621.398
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Stochastic Geometry for Wireless Networks
by Martin Haenggi
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Stochastic Geometry for Wireless Networks
by Haenggi, Martin
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Cambridge Univ Pr, 2012. Hardcover. New. 1st edition. 288 pages. 9.76x1.10x6.85 inches.
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Stochastic Geometry for Wireless Networks
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Cambridge Univ Pr, 2012. Hardcover. New. 1st edition. 288 pages. 9.76x1.10x6.85 inches.
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Stochastic Geometry for Wireless Networks
by Haenggi, Martin
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HAENGGI
by STOCHASTIC GEOMETRY FOR WIRLESS NETWORKS 2012 (H)
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Stochastic Geometry for Wireless Networks
by Haenggi, Martin
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Stochastic Geometry for Wireless Networks by Haenggi, Martin
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ISBN: 9781107014695Cambridge University Press, 01 January 2013
Hardback, 284 pages
Covering point process theory, random geometric graphs and coverage processes, this rigorous introduction to stochastic geometry will enable you to obtain powerful, general estimates and bounds of wireless network performance and make good design choices for future wireless architectures and protocols that efficiently manage interference effects. Practical engineering applications are integrated with mathematical theory, with an understanding of probability the only prerequisite. At the same time, stochastic geometry is connected to percolation theory and the theory of random geometric graphs and accompanied by a brief introduction to the R statistical computing language. Combining theory and hands-on analytical techniques with practical examples and exercises, this is a comprehensive guide to the spatial stochastic models essential for modelling and analysis of wireless network performance.
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