Stochastic Geometry Analysis of Cellular Networks

Achieve faster, more efficient heterogeneous network design and optimization with this comprehensive guide.

List of contents

Part I. Stochastic Geometry: 1. Introduction; 2. The role of stochastic geometry in HetNet analysis; 3. A brief course in stochastic geometry; 4. Statistics of received power at the typical location; Part II. SINR Analysis: 5. Downlink SINR: fundamental results; 6. Downlink SINR: advanced results; 7. Downlink SINR: further extensions; 8. Extensions to non-Poisson models.

About the author

Bartlomiej Blaszczyszyn is Research Director at the Institut national de recherche en informatique et en automatique (INRIA), France and a faculty member of the joint INRIA-ENS research group, DYOGENE.Martin Haenggi is the Frank M. Freimann Professor of Electrical Engineering and a Concurrent Professor of Applied and Computational Mathematics at the University of Notre Dame, Indiana, and the author of Stochastic Geometry for Wireless Networks (Cambridge, 2012).Paul Keeler is a postdoctoral researcher at the Weierstrass Institute for Applied Analysis and Statistics, Germany.Sayandev Mukherjee is a Senior Research Engineer at DOCOMO Innovations Inc., and the author of Analytical Modeling of Heterogeneous Cellular Networks (Cambridge, 2014).

Summary

Achieve faster, more efficient network design and optimization with this comprehensive guide. Presenting the latest analytic methods and results from stochastic geometry for understanding the behaviour of heterogeneous cellular networks, and including practical Long-Term Evolution (LTE) applications, it is ideal for engineers who design wireless communication networks.

Product details

• Authors: B ASZCZ BART OMIE, Bartomiej Baszczyszyn, Bartlomiej Blaszczyszyn, Bartlomiej (Institut National De Rec Blaszczyszyn, Bartlomiej (Institut National de Recherche en Informatique et en Automatique (INRIA) Blaszczyszyn, Bartłomiej Błaszczyszyn, Martin Haenggi, Martin (University of Notre Dame Haenggi, Haenggi Martin, Paul Keeler, Sayandev Mukherjee
• Publisher: Cambridge University Press ELT
• Languages: English
• Product format: Hardback
• Released: 30.04.2018
• EAN: 9781107162587
• ISBN: 978-1-107-16258-7
• No. of pages: 206
• Subjects: Natural sciences, medicine, IT, technology > Mathematics > Probability theory, stochastic theory, mathematical statistics; TECHNOLOGY & ENGINEERING / Signals & Signal Processing, Signal Processing, Probability & statistics, Communications engineering / telecommunications, Probability and statistics, Digital signal processing (DSP)