On the Quasi-Orthogonality of LoRa Modulation

Jae Mo Kang, Dong Woo Lim

Research output: Contribution to journalArticlepeer-review

4 Scopus citations

Abstract

Long Range (LoRa), a low power and wide-area modulation scheme based on chirp spread spectrum, is the most popular and widely adopted Internet of Things (IoT) technique in industry. A notable and interesting property of LoRa modulation is the quasi-orthogonality of signals modulated under different spreading factors (SFs). Unfortunately, in the literature, there has been no analytical effort to establish the theoretical validity of such quasi-orthogonality. This article, for the first time, theoretically tackles the quasi-orthogonality of the LoRa modulation. First, we derive in both continuous- and discrete-time domains the cross-correlation between two nonsynchronized LoRa signals with different SFs, based on which we analyze the quasi-orthogonality of the LoRa modulation and draw some useful engineering insights. Particularly, we analytically show that in the continuous-time domain, the quasi-orthogonality is guaranteed if one of the SFs of the two LoRa signals is large enough; while, in the discrete-time domain, the quasi-orthogonality is ensured if the maximum of the SFs is large enough. Furthermore, for practical values of the SF, the maximum squared magnitudes of the cross-correlation in the continuous- and discrete-time domains are shown to be 1.14% and 1.08%, respectively, compared to their peak values. We demonstrate the validity and accuracy of our analysis through extensive numerical simulations.

Original languageEnglish
Pages (from-to)12366-12378
Number of pages13
JournalIEEE Internet of Things Journal
Volume10
Issue number14
DOIs
StatePublished - 15 Jul 2023

Keywords

  • Cross-correlation
  • Internet of Things (IoT)
  • long-range (LoRa)
  • performance analysis
  • quasi-orthogonality

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