On the Scalability of Duty-Cycled LoRa Networks with Imperfect SF Orthogonality

Yathreb Bouazizi, Fatma Benkhelifa, Hesham ElSawy, Julie A. McCann

Research output: Contribution to journalArticlepeer-review

2 Citations (Scopus)
47 Downloads (Pure)

Abstract

This letter uses stochastic geometry and queuing theory to study the scalability of long-range (LoRa) networks, accounting for duty cycling restrictions and imperfect spreading factor (SFs) orthogonality. The scalability is characterised by the joint boundaries of device density and traffic intensity per device. Novel cross-correlation factors are used to quantify imperfect SF-orthogonality. Our results show that a proper characterisation of LoRa orthogonality extends the scalability of the network. They also highlight that for low/medium densities decreasing the SF extends the spanned spectrum of sensing applications characterised by their traffic requirements (i.e., sensing rate). However, for high density (>104 nodes/Km2), the Pareto frontiers converge to a stability limit governed by the SF allocation scheme and the predefined capture thresholds. The results further evince the importance of capturing threshold distribution among the SFs to mitigate the unfair latency.

Original languageEnglish
Pages (from-to)2310-2314
Number of pages5
JournalIEEE Wireless Communications Letters
Volume11
Issue number11
Early online date23 Aug 2022
DOIs
Publication statusPublished - 1 Nov 2022

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Keywords

  • LoRa
  • SF-allocation
  • coverage probability
  • queuing theory
  • stability analysis
  • stochastic geometry

ASJC Scopus subject areas

  • Control and Systems Engineering
  • Electrical and Electronic Engineering

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