A Primer on Cellular Network Analysis Using Stochastic Geometry

By Jeffrey G. Andrews, Abhishek K. Gupta, Harpreet S. Dhillon. arXiv.org, 2016

308 citations recorded by the source corpus.

This tutorial is intended as an accessible but rigorous first reference for someone interested in learning how to model and analyze cellular network performance using stochastic geometry. In particular, we focus on computing the signal-to-interference-plus-noise ratio (SINR) distribution, which can be characterized by the coverage probability (the SINR CCDF) or the outage probability (its CDF). We model base stations (BSs) in the network as a realization of a homogeneous Poisson point process of density $\lambda$, and compute the SINR for three main cases: the downlink, uplink, and finally the multi-tier downlink, which is characterized by having $k$ tiers of BSs each with a unique density $\lambda_i$ and transmit power $p_i$. These three baseline results have been extensively extended to many different scenarios, and we conclude with a brief summary of some of those extensions.

Subfields: Computer Networks and Communications, Electrical and Electronic Engineering

View Paper: https://www.semanticscholar.org/paper/1c95be799087e629afb13832356722348b6164e7

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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”
A Survey on Scalable LoRaWAN for Massive IoT: Recent Advances, Potentials, and Challenges (2022, background): “network where EDs and GWs are deployed in the target area following a random Poisson point process [175], [176].”
Downlink Coverage Analysis for a Finite 3-D Wireless Network of Unmanned Aerial Vehicles (2017, methodology): “While infinite homogeneous Poisson Point Process (PPP) has become a canonical model for the spatial locations of terrestrial base stations [19], it is not quite suitable for UAV networks, especially when a given number (likely small) of UAVs is deployed to cover a given finite region.”