Stochastic Geometry for Wireless Networks 1st ediiton by Martin Haenggi – Ebook PDF Instant Download/Delivery: 1107014697, 978-1107014695
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ISBN 10: 1107014697
ISBN 13: 978-1107014695
Author: Martin Haenggi
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.
Stochastic Geometry for Wireless Networks 1st Table of contents:
Part I Point process theory
1 Introduction
1.1 What is stochastic geometry?
1.2 Point processes as spatial models for wireless networks
1.3 Asymptotic notation
1.4 Sets and measurability
Problems
2 Description of point processes
2.1 Description of one-dimensional point processes
2.2 Point process duality
2.3 Description of general point processes
2.4 Basic point processes
2.5 Distributional characterization
2.6 Properties of point processes
2.7 Point process transformations
2.8 Distances
2.9 Applications
Bibliographical notes
Problems
3 Point process models
3.1 Introduction
3.2 General finite point processes
3.3 Cox processes
3.4 Cluster processes
3.5 Hard-core processes
3.6 Gibbs processes
3.7 Shot-noise random fields
Bibliographical notes
Problems
4 Sums and products over point processes
4.1 Introduction
4.2 The mean of a sum
4.3 The probability generating functional
4.4 The Laplace functional
4.5 The moment-generating function of sums over Poisson processes
4.6 The probability generating and Laplace functionals for the Poisson point process
4.7 Summary of relationships
4.8 Functionals of other point processes
Bibliographical notes
Problems
5 Interference and outage in wireless networks
5.1 Interference characterization
5.2 Outage probability in Poisson networks
5.3 Spatial throughput in Poisson bipolar networks
5.4 Transmission capacity
5.5 Temporal correlation of the interference
5.6 Temporal correlation of outage probabilities
Bibliographical notes
Problems
6 Moment measures of point processes
6.1 Introduction
6.2 The first-order moment measure
6.3 Second moment measures
6.4 Second moment density
6.5 Second moments for stationary processes
Bibliographical notes
Problems
7 Marked point processes
7.1 Introduction and definition
7.2 Theory of marked point processes
7.3 Applications
Bibliographical notes
Problems
8 Conditioning and Palm theory
8.1 Introduction
8.2 The Palm distribution for stationary processes
8.3 The Palm distribution for general point processes
8.4 The reduced Palm distribution
8.5 Palm distribution for Poisson processes and Slivnyak’s theorem
8.6 Second moments and Palm distributions for stationary processes
8.7 Palm distributions for Neyman–Scott cluster processes
8.8 Palm distribution for marked point processes
8.9 Applications
Bibliographical notes
Problems
Part II Percolation, connectivity, and coverage
9 Introduction
9.1 Motivation
9.2 What is percolation?
10 Bond and site percolation
10.1 Random trees and branching processes
10.2 Preliminaries for bond percolation on the lattice
10.3 General behavior of the percolation probability
10.4 Basic techniques
10.5 Critical threshold for bond percolation on the square lattice
10.6 Further results in bond percolation
10.7 Site percolation
Bibliographical notes
Problems
11 Random geometric graphs and continuum percolation
11.1 Introduction
11.2 Percolation on Gilbert’s disk graph
11.3 Other percolation models
11.4 Applications
Bibliographical notes
Problems
12 Connectivity
12.1 Introduction
12.2 Connectivity of the random lattice
12.3 Connectivity of the disk graph
12.4 Connectivity of basic random geometric graphs
12.5 Other graphs
Bibliographical notes
Problems
13 Coverage
13.1 Introduction
13.2 Germ–grain and Boolean models
13.3 Boolean model with fixed disks
13.4 Applications
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Tags: Martin Haenggi, Stochastic Geometry, Wireless Networks