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Impact of inter-gateway distance on lorawan performance

  • Bruno Citoni
  • , Shuja Ansari
  • , Qammer Hussain Abbasi
  • , Muhammad Ali Imran
  • , Sajjad Hussain
  • University of Glasgow

Research output: Contribution to journalArticlepeer-review

10 Scopus citations

Abstract

The large-scale behaviour of LoRaWAN networks has been studied through mathematical analysis and discrete-time simulations to understand their limitations. However, current literature is not always coherent in its assumptions and network setups. This paper proposes a comprehensive analysis of the known causes of packet loss in an uplink-only LoRaWAN network: duty cycle limitations, packet collision, insufficient coverage, and saturation of a receiver’s demodulation paths. Their impact on the overall Quality of Service (QoS) for a two-gateway network is also studied. The analysis is carried out with the discrete-event network simulator NS-3 and is set up to best fit the real behaviour of devices. This approach shows that increasing gateway density is only effective as the gateways are placed at a distance. Moreover, the trade-off between different outage conditions due to the uneven distribution of spreading factors is not always beneficial, diminishing returns as networks grow denser and wider. In particular, networks operating similarly to the one analysed in this paper should specifically avoid SF11 and 12, which decrease the average overall PDR by about 7% at 10% nodes increment across all configurations. The results of this work intend to homogenise behavioural assumptions and setups of future research investigating the capability of LoRaWAN networks and provide insight on the weight of each outage condition in a varying two-gateway network.

Original languageEnglish
Article number2197
JournalElectronics (Switzerland)
Volume10
Issue number18
DOIs
StatePublished - Sep 2021
Externally publishedYes

Keywords

  • Discrete-time simulation
  • Internet of Things
  • LoRaWAN
  • Low-power wide area network (LPWAN)
  • Multi-gateway network
  • Quality of service
  • Stochastic geometry
  • Uplink outage

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