Stochastic Geometry for Wireless Networks

Стохастическая геометрия беспроводных сетей
Martin Haenggi
2012-10-18

coverage processespoint process theoryrandom geometric graphsstochastic geometrywireless networks
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.
1
It covers point process theory, random geometric graphs, and coverage processes as foundations for wireless-network analysis.
2
The guide combines mathematical theory, practical engineering applications, analytical techniques, examples, exercises, and an introduction to R for statistical computing.
3
The presented methods enable general estimates and bounds of network performance, supporting wireless architecture and protocol design under interference.
4
The treatment connects stochastic geometry with percolation theory and random geometric graph theory, broadening its analytical scope.
5
The work provides a rigorous introduction to stochastic geometry for modeling and analyzing wireless network performance.

wireless networks

spatial stochastic modeling and analysis of wireless network performance, including interference effects, coverage, and connectivity

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2012-10-18
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Martin Haenggi
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