Publications Preprint · Satellite IoT · 2024

Multi-Gateway LoRaWAN Throughput Modeling in Direct-to-Satellite IoT Constellations

Santiago M. Henn, Juan A. Fraire, Nicola Accettura, Sandra Céspedes, and Holger Hermanns

HAL preprint, 2024

Abstract

The emerging paradigm of Direct-to-Satellite Internet of Things (DtS-IoT) heralds a new era of global IoT connectivity unlocked by gateways in Low-Earth Orbit (LEO). Among the spectrum of technologies for achieving DtS-IoT, LoRaWAN, which relies on duty-cycled ALOHA channel access over unlicensed bands, emerges as a promising candidate. Lo-RaWAN's broad adoption in terrestrial IoT applications paves the way for a seamless Space-Terrestrial IoT integration. Lo-RaWAN distinctively allows multiple gateways to receive uplink packets simultaneously, an appealing feature for proliferated DtS-IoT constellations leveraging multiple satellites. However, existing theoretical throughput models for static multi-gateway LoRaWAN systems have not been evaluated in the more complex and dynamic satellite context. Our study addresses this gap by adapting, extending, and fine-tuning throughput models for the multi-gateway LEO DtS-IoT scenario. This approach will enable the rapid analysis of various LoRaWAN constellations to optimize their performance, addressing a critical need in current DtS-IoT mission design and operations. Additionally, we validate the proposed modeling with a comprehensive and realistic simulation campaign. Differences between the model predictions and simulation results remain below 5%. Results show that the proposed modeling is accurate and insightful, offering valuable projections into the performance of forthcoming LoRaWAN DtS-IoT constellations.

Cite

BibTeX

@article{henn2024multigateway,
  author  = {Henn, Santiago M. and Fraire, Juan A. and Accettura, Nicola and C{\'e}spedes, Sandra and Hermanns, Holger},
  title   = {Multi-Gateway {LoRaWAN} Throughput Modeling in Direct-to-Satellite {IoT} Constellations},
  journal = {HAL preprint},
  year    = {2024},
  url     = {https://hal.science/hal-04749023}
}

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