On the Error Rate of the LoRa Modulation with Interference

Orion Afisiadis; Matthieu Cotting; Andreas Burg; Alexios Balatsoukas-Stimming

doi:10.1109/TWC.2019.2952584

On the Error Rate of the LoRa Modulation with Interference

Orion Afisiadis (Corresponding author), Matthieu Cotting, Andreas Burg, Alexios Balatsoukas-Stimming (Corresponding author)

Research output: Contribution to journal › Article › Academic › peer-review

85 Citations (Scopus)

Abstract

LoRa is a chirp spread-spectrum modulation developed for the Internet of Things (IoT). In this work, we examine the performance of LoRa in the presence of both additive white Gaussian noise and interference from another LoRa user. To this end, we extend an existing interference model, which assumes perfect alignment of the signal of interest and the interference, to the more realistic case where the interfering user is neither chip- nor phase-aligned with the signal of interest and we derive an expression for the error rate. We show that the existing aligned interference model overestimates the effect of interference on the error rate. Moreover, we prove two symmetries in the interfering signal and we derive low-complexity approximate formulas that can significantly reduce the complexity of computing the symbol and frame error rates compared to the complete expression. Finally, we provide numerical simulations to corroborate the theoretical analysis and to verify the accuracy of our proposed approximations.

Original language	English
Article number	8903531
Pages (from-to)	1292-1304
Number of pages	13
Journal	IEEE Transactions on Wireless Communications
Volume	19
Issue number	2
DOIs	https://doi.org/10.1109/TWC.2019.2952584
Publication status	Published - Feb 2020

Funding

Manuscript received May 24, 2019; revised September 9, 2019; accepted October 23, 2019. Date of publication November 18, 2019; date of current version February 11, 2020. This work was supported in part by the Swiss National Science Foundation under Project 200021_182621. The associate editor coordinating the review of this article and approving it for publication was J. M. Romero-Jerez. (Corresponding author: Alexios Balatsoukas-Stimming.) O. Afisiadis and A. Burg are with the Telecommunication Circuits Laboratory, École polytechnique fédérale de Lausanne, 1015 Lausanne, Switzerland (e-mail: [email protected]; [email protected]).

Funders	Funder number
Schweizerischer Nationalfonds zur Förderung der Wissenschaftlichen Forschung	200021_182621

Keywords

Chirp modulation
Error analysis
Internet of Things (IoT)
LoRa
Spread spectrum communication

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10.1109/TWC.2019.2952584

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On the Error Rate of the LoRa Modulation with Interference

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