Inhaltsverzeichnis
1: Introduction and preliminaries 2: Mathematical preliminaries 3: Basic model 4: Extensions to the basic model 5: Design techniques for wireless networks 6: Multiple antennas. Notations and Acronyms. Appendix A: List of results by chapter. Acknowledgements. References
Klappentext
Transmission Capacity of Wireless Networks presents a framework for computing the outage
probability (OP) and transmission capacity (TC) in a wireless network. Transmission capacity is
a performance metric for wireless networks that measures the spatial intensity of successful
transmissions per unit area, subject to a constraint on the permissible outage probability (where
outage occurs when the SINR at a receiver is below a threshold). This volume gives a unified
treatment of the TC framework that has been developed by the authors and their collaborators
over the past decade. The mathematical framework underlying the analysis is stochastic
geometry: Poisson point processes model the locations of interferers, and (stable) shot noise
processes represent the aggregate interference seen at a receiver.
Transmission Capacity of Wireless Networks presents TC results (exact, asymptotic, and
bounds) on a simple model in order to illustrate a key strength of the framework: analytical
tractability yields explicit performance dependence upon key model parameters. It goes on to
present enhancements to this basic model - channel fading, variable link distances, and
multihop. Chapter 5 presents four network design case studies well-suited to TC: (i) spectrum
management, (ii) interference cancellation, (iii) signal threshold transmission scheduling, and iv)
power control. Chapter 6 studies the TC when nodes have multiple antennas, which provides a
contrast vs. classical results that ignore interference.
Transmission Capacity of Wireless Networks is essential reading for anyone with an interest in
wireless network design and in understanding the fundamentals of the performance and
behavior of such networks.
