Stochastic Geometry-based Analysis of the Impact of Underlying Uncorrelated IoT Networks on LoRa Coverage

Romain Chevillon (1) , Guillaume Andrieux (1) , Laurent Clavier (2, 3, 4) , Jean-François Diouris (1)

1 IETR - Institut d'Électronique et des Technologies du numéRique
2 IEMN - Institut d’Électronique, de Microélectronique et de Nanotechnologie - UMR 8520
3 CSAM - IEMN - Circuits Systèmes Applications des Micro-ondes - IEMN
4 IMT Nord Europe - Ecole nationale supérieure Mines-Télécom Lille Douai

IoT networks are more and more present nowadays. Some IoT protocols share the samebandwidth leading to interference on neighboring networks and decrease of overall coverage. To contributeto this problem, an analytical study of the coverage of a LoRa network with underlying uncoordinatedIoT networks is presented in this paper. Using stochastic geometry, closed form analytical expressions areproposed allowing to analyze the success and coverage probabilities for a LoRa network. An appropriatemodel of the path loss including real-life values is used to characterize the log-distance propagationparameters. The interference comes from both the LoRa network itself and the underlying IoT networks,modeled with an -stable distribution based on recent measurements. It is shown that for an environmentwith a huge amount of surrounding uncoordinated IoT networks, the gateways deployment should bedoubled to reach a decent coverage probability, compared to an environment where the underlyinginterfering networks are not considered.

Mots clés: LoRa; LPWAN; Stochastic Geometry; IoT; Interference; Alpha-Stable Distributions; Coverage.

Domaines: Electronique; Autre

Romain Chevillon, Guillaume Andrieux, Laurent Clavier, Jean-François Diouris. Stochastic Geometry-based Analysis of the Impact of Underlying Uncorrelated IoT Networks on LoRa Coverage. IEEE Access, 2022, 10, pp.8790-8803. ⟨10.1109/ACCESS.2022.3141540⟩. ⟨hal-03520374⟩