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

By Hesham Elsawy, Ahmed Kamal Sultan-Salem, Mohamed-Slim Alouini, Moe Z. Win. IEEE Communications Surveys and Tutorials, 2016

490 citations recorded by the source corpus.

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. This 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 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 this paper is on cellular networks, the presented unified approach applies for other types of wireless networks that impose interference protection around receivers. This 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, this paper highlights the state-of-the-art research and points out future research directions.

Subfields: Computer Networks and Communications, Electrical and Electronic Engineering

View Paper: https://www.semanticscholar.org/paper/838d3566df69355a20fd429de0e95673781d91f6

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Computer Networks and Communications

In Electrical and Electronic Engineering

Citations in the corpus

Modeling and Analyzing Millimeter Wave Cellular Systems (2016, background): “systems can be found in the recent survey [139] as well as the recent tutorial [136], which includes a step-by-step description”
The Meta Distribution of SINR for Small Cell Networks with Temporal Traffic (2019, background): “To characterize the performance of such networks, stochastic geometry has been recently introduced as a way to assess performance of wireless links in large-scale networks [5], [6].”
Spatio-Temporal Analysis for SINR Coverage in Small Cell Networks (2019, background): “To characterize the performance of such networks, stochastic geometry has been recently introduced as a way to assess performance of wireless links in large-scale networks [5]–[8].”