Juan A. Fraire

Researcher in Space Networking and Informatics

Inria CONICET Saarland University

Publications Conference paper · Satellite IoT · 2023

Recovering Headerless Frames in LR-FHSS

Juan A. Fraire, Alexandre Guitton, and Oana Iova

International Conference on Embedded Wireless Systems and Networks (EWSN), pp. 170–180, 2023

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Abstract

Long-Range Frequency Hopping Spread Spectrum (LR-FHSS) is a recent modulation designed for communications from low-power ground end-devices to Low-Earth Orbit (LEO) satellites. To decode a frame, an LR-FHSS gateway must receive at least one header replica and a large proportion of payload fragments. However, LR-FHSS headers will likely be lost when there are many concurrent transmissions. In this paper, we motivate the header loss problem with an analytical model, propose a linear programming model to extract headerless frames and design a cost-effective sliding window heuristic. Simulation results show that our approach exhibits near-optimal headerless detection and extraction results while ensuring a low computational cost. The proposed method is, therefore, suitable for future LR-FHSS gateways located onboard resource-constrained LEO satellites.

Cite

BibTeX
@inproceedings{DBLP:conf/ewsn/FraireGI23,
  author    = {Juan A. Fraire and Alexandre Guitton and Oana Iova},
  editor    = {Giancarlo Fortino and Valeria Loscr{\`{\i}} and Fabrizio Granelli and Tarek F. Abdelzaher and Antonella Guzzo and Claudio Savaglio},
  title     = {Recovering Headerless Frames in {LR-FHSS}},
  booktitle = {International Conference on Embedded Wireless Systems and Networks (EWSN)},
  pages     = {170--180},
  publisher = {{ACM}},
  year      = {2023},
  url       = {https://dl.acm.org/doi/10.5555/3639940.3639963}
}

More on satellite IoT

  1. Space-Terrestrial Integrated Internet of Things: Challenges and Opportunities Juan A. Fraire, Oana Iova, and Fabrice Valois IEEE Communications Magazine, 2022
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  2. Sparse Satellite Constellation Design for Global and Regional Direct-to-Satellite IoT Services Gabriel Maiolini Capez, Santiago Henn, Juan A. Fraire, and Roberto Garello IEEE Transactions on Aerospace and Electronic Systems, 2022
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  3. On the role of machine learning in satellite internet of things: A survey of techniques, challenges, and future directions Alexander Ylnner Choquenaira Florez, Juan A. Fraire, Hannah B. Pasandi, and Hervé Rivano Elsevier Computer Networks, 2025
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