Stochastic Geometry for Wireless Networks

Nonfiction, Science & Nature, Technology, Engineering, Computers, General Computing
Cover of the book Stochastic Geometry for Wireless Networks by Professor Martin Haenggi, Cambridge University Press
View on Amazon View on AbeBooks View on Kobo View on B.Depository View on eBay View on Walmart
Author: Professor Martin Haenggi ISBN: 9781139793858
Publisher: Cambridge University Press Publication: October 18, 2012
Imprint: Cambridge University Press Language: English
Author: Professor Martin Haenggi
ISBN: 9781139793858
Publisher: Cambridge University Press
Publication: October 18, 2012
Imprint: Cambridge University Press
Language: English

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.

View on Amazon View on AbeBooks View on Kobo View on B.Depository View on eBay View on Walmart

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.

More books from Cambridge University Press

Cover of the book The Common Law Inside the Female Body by Professor Martin Haenggi
Cover of the book Kant: The Metaphysics of Morals by Professor Martin Haenggi
Cover of the book The Cambridge Companion to Dostoevskii by Professor Martin Haenggi
Cover of the book Kant's 'Groundwork of the Metaphysics of Morals' by Professor Martin Haenggi
Cover of the book Anatomy Vivas for the Intercollegiate MRCS by Professor Martin Haenggi
Cover of the book Runoff Prediction in Ungauged Basins by Professor Martin Haenggi
Cover of the book State and Nation Making in Latin America and Spain by Professor Martin Haenggi
Cover of the book An Introduction to International Criminal Law and Procedure by Professor Martin Haenggi
Cover of the book Psychology of the Digital Age by Professor Martin Haenggi
Cover of the book Bullying in Different Contexts by Professor Martin Haenggi
Cover of the book Testosterone by Professor Martin Haenggi
Cover of the book Code-switching by Professor Martin Haenggi
Cover of the book Managing Employee Performance and Reward by Professor Martin Haenggi
Cover of the book The Many Panics of 1837 by Professor Martin Haenggi
Cover of the book Judges and Judging in the History of the Common Law and Civil Law by Professor Martin Haenggi
We use our own "cookies" and third party cookies to improve services and to see statistical information. By using this website, you agree to our Privacy Policy