Haenggi’s Fourth Book Release: Stochastic Geometry

5G is on the horizon. Department of Electrical Engineering Frank M. Freimann professor Martin Haenggi has co-published his fourth book, which will prepare electrical engineering scholars for the movement. His new book, Stochastic Geometry Analysis of Cellular Networks, explains the latest analytic techniques and results from stochastic geometry for modeling heterogeneous cellular networks and analyzing the signal-to-interference-plus-noise ratio (SINR) distribution. 

Two and a half years in the making, this book is an extension to his previous book, Stochastic Geometry for Wireless Networks, which lays foundations for the more advanced theoretical tools used in the new book.  “We’re elevating it to next-generation cellular networks,” explained Haenggi. Co-authors are Bartlomiej Błaszczyszyn from the Institut National de Recherche en Informatique et en Automatique (INRIA), Rocquencourt, Paul Keeler of Weierstrass Institute for Applied Analysis and Statistics and Sayandev Mukherjee of DOCOMO Innovations, Inc.

Stochastic Geometry will educate its readers on how to achieve faster and more efficient network design and optimization. This comprehensive guide will also assist readers in understanding 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 point processes and tractable approximation methods. Theoretical results are illustrated with practical Long-Term Evolution (LTE) applications and compared with real-world deployment results. The book provides models that achieve a good trade-off between analytical tractability and accuracy.

This book will equip its readers with applications for next-generation (5G) deployments “Fifteen years ago at a University of Notre Dame home football game, you couldn’t make a phone call. Ten years ago, mobile base stations were brought in. Today, the network capacity and reliability is sufficient even when 100,000 people are on campus,” explained Haenggi.

“These four renowned experts deliver a comprehensive yet curated treatment on the modeling and analysis of modern cellular networks using stochastic geometry, which has been one of the most important recent lines of wireless research. I highly recommend this work for interested researchers and engineers. It can serve as a useful companion to Haenggi’s landmark stochastic geometry textbook, which had fairly minimal treatment of cellular networks,” said Jeff Andrews of the University of Texas at Austin. Stochastic Geometry Analysis of Cellular Networks is published by Cambridge. For more information and to order, click here.