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Doppler Estimation and Compensation Techniques in LoRa Direct-to-Satellite Communications

  • Jamil Farhat
  • , Gianni Pasolini
  • , Enrico Paolini
  • , Asad Ullah
  • , Richard Demo Souza
  • Universidade Federal de Santa Catarina
  • University of Bologna
  • Federal University of Technology – Paraná

Research output: Contribution to journalArticleScientificpeer-review

Abstract

Within the LPWAN framework, the LoRa modulation adopted by LoRaWAN technology has garnered significant interest as a connectivity solution for IoT applications due to its ability to offer low-cost, low-power, and long-range communications. One emerging use case of LoRa is DtS connectivity, which extends coverage to remote areas for supporting IoT operations. The satellite IoT industry mainly prefers LEO because it has lower launch costs and less path loss compared to Geostationary orbit. However, a major drawback of LEO satellites is the impact of the Doppler effect caused by their mobility. Earlier studies have confirmed that the Doppler effect significantly degrades the LoRa DtS performance. In this paper, we propose four frameworks for Doppler estimation and compensation in LoRa DtS connectivity and numerically compare the performance against the ideal scenario without the Doppler effect. Furthermore, we investigate the trade-offs among these frameworks by analyzing the interplay between spreading factor, and other key parameters related to the Doppler effect. The results provide insights into how to achieve robust LoRa configurations for DtS connectivity.

Original languageEnglish
Pages (from-to)6759-6776
Number of pages18
JournalIEEE Open Journal of the Communications Society
Volume6
DOIs
Publication statusPublished - 2025
MoE publication typeA1 Journal article-refereed

Funding

This work was supported in part by the Coordination for the Improvement of Higher Education Personnel CAPES (ROR Identifier: 00x0ma614) for the Article Processing Charge for the Publication of this Research; in part by the Brazil by CNPq under Grant 305021/2021-4; in part by CAPES/STIC-AMSUD under Grant 88881.985542/2024-01; and in part by RNP/MCTI Brasil 6G under Grant 01245.020548/2021-07.

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 9 - Industry, Innovation, and Infrastructure
    SDG 9 Industry, Innovation, and Infrastructure

Keywords

  • Direct-to-Satellite
  • LEO
  • LoRa
  • LPWAN

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