Stochastic Geometry for Wireless Networks

Analyse wireless network performance and improve design choices for future architectures and protocols with this rigorous introduction to stochastic geometry.

Martin Haenggi (Author)

9781107014695, Cambridge University Press

Hardback, published 18 October 2012

302 pages, 67 b/w illus. 2 tables 111 exercises
24.6 x 17.5 x 2 cm, 0.68 kg

'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

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.

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.

Subject Areas: Computer science [UY], Computer networking & communications [UT], Communications engineering / telecommunications [TJK], Electrical engineering [THR], Stochastics [PBWL], Probability & statistics [PBT]