2D Time-frequency interference modelling using stochastic geometry for performance evaluation in Low-Power Wide-Area Networks

TL;DR

This paper introduces a novel 2D time-frequency stochastic geometry model to analyze interference in LPWANs, enabling performance evaluation of IoT networks with random access schemes.

Contribution

It presents a new joint time-frequency interference model using stochastic geometry, specifically tailored for LPWANs and IoT applications.

Findings

Model accurately predicts outage probability and throughput.

Applicable to Sigfox and LoRaWAN technologies.

Flexible for various medium access scenarios.

Abstract

In wireless networks, interferences between trans- missions are modelled either in time or frequency domain. In this article, we jointly analyze interferences in the time- frequency domain using a stochastic geometry model assuming the total time-frequency resources to be a two-dimensional plane and transmissions from Internet of Things (IoT) devices time- frequency patterns on this plane. To evaluate the interference, we quantify the overlap between the information packets: provided that the overlap is not too strong, the packets are not necessarily lost due to capture effect. This flexible model can be used for multiple medium access scenarios and is especially adapted to the random time-frequency access schemes used in Low-Power Wide-Area Networks (LPWANs). By characterizing the outage probability and throughput, our approach permits to evaluate the performance of two representative LPWA technologies Sigfox{\textsuperscript \textregistered} and LoRaWA{\textsuperscript \textregistered}.