Modeling and Analysis of Cellular Networks using Stochastic Geometry: A Tutorial

Hesham Elsawy, Ahmed Sultan Salem, Mohamed-Slim Alouini, Moe Z. Win

Research output: Contribution to journalArticlepeer-review

357 Scopus citations


This paper presents a tutorial on stochastic geometry (SG) based analysis for cellular networks. This tutorial is distinguished by its depth with respect to wireless communication details and its focus on cellular networks. The paper starts by modeling and analyzing the baseband interference in a baseline single-tier downlink cellular network with single antenna base stations and universal frequency reuse. Then, it characterizes signal-to-interference-plus-noise-ratio (SINR) and its related performance metrics. In particular, a unified approach to conduct error probability, outage probability, and transmission rate analysis is presented. Although the main focus of the paper is on cellular networks, the presented unified approach applies for other types of wireless networks that impose interference protection around receivers. The paper then extends the unified approach to capture cellular network characteristics (e.g., frequency reuse, multiple antenna, power control, etc.). It also presents numerical examples associated with demonstrations and discussions. To this end, the paper highlights the state-of-the- art research and points out future research directions.
Original languageEnglish (US)
Pages (from-to)167-203
Number of pages37
JournalIEEE Communications Surveys & Tutorials
Issue number1
StatePublished - Nov 3 2016

Bibliographical note

KAUST Repository Item: Exported on 2020-10-01
Acknowledgements: This work was funded by the Sensor Research Initiative funded by the
Office of Sponsored Research at the King Abdullah University of Science
and Technology, Thuwal, Makkah Province, Saudi Arabia.


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