About this product

Product Identifiers

PublisherCambridge University Press

ISBN-101107014697

ISBN-139781107014695

eBay Product ID (ePID)117213644

Product Key Features

Number of Pages302 Pages

LanguageEnglish

Publication NameStochastic Geometry for Wireless Networks

SubjectMobile & Wireless Communications, Probability & Statistics / Stochastic Processes, Networking / General

Publication Year2012

FeaturesNew Edition

TypeTextbook

Subject AreaMathematics, Computers, Technology & Engineering

AuthorMartin Haenggi

FormatHardcover

Dimensions

Item Height0.8 in

Item Weight24 Oz

Item Length9.7 in

Item Width6.9 in

Additional Product Features

Intended AudienceScholarly & Professional

LCCN2012-034887

Dewey Edition23

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

IllustratedYes

Dewey Decimal004.650151

Edition DescriptionNew Edition

Table Of ContentPart 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.

SynopsisCovering 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 NumberTK5102.83 .H33 2013