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Stochastic geometry for wireless networks

By: Publication details: Cambridge Cambridge University Press 2013Description: xv, 284 pISBN:
  • 9781107014695
Subject(s): DDC classification:
  • 621.3980151922  H2S8
Summary: 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. (http://www.cambridgeindia.org/Academic/subjects/Engineering/Stochastic-Geometry-for-Wireless-Networks?ISBN=9781107014695)
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Item type Current library Item location Collection Shelving location Call number Status Date due Barcode
Books Vikram Sarabhai Library Rack 34-A / Slot 1761 (2nd Floor, East Wing) Non-fiction General Stacks 621.3980151922 H2S8 (Browse shelf(Opens below)) Available 190996

Table of Contents:


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.


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.


(http://www.cambridgeindia.org/Academic/subjects/Engineering/Stochastic-Geometry-for-Wireless-Networks?ISBN=9781107014695)

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