Comparative Analysis of Discrete Time Simulations and Stochastic Geometry Models of a Single Gateway LoRaWAN Network

Abstract

Both stochastic geometry and discrete-time simulations are useful ways to analyse otherwise unfeasible largescale LoRaWAN networks. Currently, very limited research has been performed on assessing how the two methods compare in terms of their results when modelling the same scenario. In this study, such a comparison is performed by replicating via discrete time simulations performed with NS-3 a common result from stochastic analysis of a single gateway network. Results of the comparison show how the two methods are for the most part equivalent and thus they are both equally employable in future research. However, attention needs to be paid to the subtle differences that are characteristic of the two different methods and can give rise to discrepancies in results.