Fairness-Aware Demodulator Allocation in LoRa Multi-Gateway Networks

The literature has shown the drastic decrease of the achievable LoRa network throughput, due to the limited number of demodulators that are supported by LoRaWAN gateways. Unlike existing approaches, in this letter, we design fairness-aware algorithms under this stringent constraint. By taking the efficient demodulation time ratio as a fairness metric, our algorithms enable to prioritize frames with larger spreading factors, while increasing the total demodulation time thanks to collaboration among gateways. Numerical results demonstrate that our proposed methods largely outperform LoRaWAN baselines, while closely approaching their performance upper bounds.

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Publication Details

Journal
IEEE Networking Letters
Published
2025-01-22
DOI
https://doi.org/10.1109/lnet.2025.3532765
Citations
1
Primary Topic
IoT Networks and Protocols
Type
article
Field-Weighted Citation Impact
0.73

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article

Fairness-Aware Demodulator Allocation in LoRa Multi-Gateway Networks

Megumi Kaneko, Alexandre Guitton
1 citations
IEEE Networking Letters
IoT Networks and Protocols
0.73
article

Fairness-Aware Demodulator Allocation in LoRa Multi-Gateway Networks

Megumi Kaneko, Alexandre Guitton
article en
1 citations

Abstract

The literature has shown the drastic decrease of the achievable LoRa network throughput, due to the limited number of demodulators that are supported by LoRaWAN gateways. Unlike existing approaches, in this letter, we design fairness-aware algorithms under this stringent constraint. By taking the efficient demodulation time ratio as a fairness metric, our algorithms enable to prioritize frames with larger spreading factors, while increasing the total demodulation time thanks to collaboration among gateways. Numerical results demonstrate that our proposed methods largely outperform LoRaWAN baselines, while closely approaching their performance upper bounds.

IEEE Networking LettersVol. 7(2)
Centre National de la Recherche Scientifique (FR), International Research Center for Japanese Studies (JP), National Institute of Informatics (JP), University of Clermont Auvergne (FR), Clermont Université (FR), Japanese-French Laboratory for Informatics (JP), The University of Tokyo (JP)
National Institute of Informatics, Japan Science and Technology Agency
Openalex Percentile: Top 32%
IoT Networks and Protocols
0.73
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Fairness-Aware Demodulator Allocation in LoRa Multi-Gateway Networks — Megumi Kaneko, Alexandre Guitton · IEEE Networking Letters (2025) | TGRS Research Map | TGRS