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STOCHASTIC GEOMETRY FOR WIRELESS NETWORKS By Professor Martin Haenggi **Mint**

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ISBN-10
1107014697
Book Title
Stochastic Geometry for Wireless Networks
ISBN
9781107014695

À propos de ce produit

Product Identifiers

Publisher
Cambridge University Press
ISBN-10
1107014697
ISBN-13
9781107014695
eBay Product ID (ePID)
117213644

Product Key Features

Number of Pages
302 Pages
Language
English
Publication Name
Stochastic Geometry for Wireless Networks
Subject
Mobile & Wireless Communications, Probability & Statistics / Stochastic Processes, Networking / General
Publication Year
2012
Features
New Edition
Type
Textbook
Subject Area
Mathematics, Computers, Technology & Engineering
Author
Martin Haenggi
Format
Hardcover

Dimensions

Item Height
0.8 in
Item Weight
24 Oz
Item Length
9.7 in
Item Width
6.9 in

Additional Product Features

Intended Audience
Scholarly & Professional
LCCN
2012-034887
Dewey Edition
23
Reviews
'This book is a welcome addition to the rapidly developing area of applications of stochastic geometric models to telecommunications.' Ilya S. Molchanov, American Mathematical Society
Illustrated
Yes
Dewey Decimal
004.650151
Edition Description
New Edition
Table Of Content
Part I. Point Process Theory: 1. Introduction; 2. Description of point processes; 3. Point process models; 4. Sums and products over point processes; 5. Interference and outage in wireless networks; 6. Moment measures of point processes; 7. Marked point processes; 8. Conditioning and Palm theory; Part II. Percolation, Connectivity and Coverage: 9. Introduction; 10. Bond and site percolation; 11. Random geometric graphs and continuum percolation; 12. Connectivity; 13. Coverage; Appendix: introduction to R.
Synopsis
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., Covering point process theory, random geometric graphs and coverage processes, this rigorous introduction to stochastic geometry enables the effective analysis of wireless network performance across all possible network configurations, promoting good design choices for future wireless architectures and protocols that reduce interference effects.
LC Classification Number
TK5102.83 .H33 2013

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