Mathematical model of LoRaWAN channel access with capture effect
Dmitry Bankov, Evgeny Khorov, Andrey Lyakhov
TL;DR
This paper introduces a pioneering mathematical model for LoRaWAN networks that accounts for the capture effect, enabling analysis of network capacity and reliability in overlapping transmissions.
Contribution
It presents the first mathematical model of LoRaWAN that incorporates the capture effect to evaluate network performance.
Findings
Model accurately predicts network capacity under capture effect conditions.
Capture effect significantly improves transmission reliability.
Model provides insights for optimizing LoRaWAN network deployment.
Abstract
LoRaWAN is a promising low power long range wireless communications technology for the Internet of Things. An important feature of LoRaWAN gateways is related to so-called capture effect: under some conditions the gateway may correctly receive a frame even if it overlaps with other ones. In this paper, we develop a pioneering mathematical model of a LoRaWAN network which allows finding network capacity and transmission reliability taking into account the capture effect.
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