Stochastic Geometry Analysis of Cellular Networks Hardback
by Bartlomiej (Institut National de Recherche en Informatique et en Automatique (INRIA), Blaszczyszyn, Martin (University of Notre Dame, Indiana) Haenggi, Paul Keeler, Sayandev Mukherjee
Hardback
Description
Achieve faster and more efficient network design and optimization with this comprehensive guide.
Some of the most prominent researchers in the field explain the very latest analytic techniques and results from stochastic geometry for modelling the signal-to-interference-plus-noise ratio (SINR) distribution in heterogeneous cellular networks.
This book will help readers to understand the effects of combining different system deployment parameters on key performance indicators such as coverage and capacity, enabling the efficient allocation of simulation resources.
In addition to covering results for network models based on the Poisson point process, this book presents recent results for when non-Poisson base station configurations appear Poisson, due to random propagation effects such as fading and shadowing, as well as non-Poisson models for base station configurations, with a focus on determinantal point processes and tractable approximation methods.
Theoretical results are illustrated with practical Long-Term Evolution (LTE) applications and compared with real-world deployment results.
Information
-
Available to Order - This title is available to order, with delivery expected within 2 weeks
- Format:Hardback
- Pages:206 pages, 1 Tables, black and white; 21 Line drawings, black and white
- Publisher:Cambridge University Press
- Publication Date:19/04/2018
- Category:
- ISBN:9781107162587
Information
-
Available to Order - This title is available to order, with delivery expected within 2 weeks
- Format:Hardback
- Pages:206 pages, 1 Tables, black and white; 21 Line drawings, black and white
- Publisher:Cambridge University Press
- Publication Date:19/04/2018
- Category:
- ISBN:9781107162587