Adaptive Orbital Direct-to-Device: Rethinking Satellite IoT Architecture

Current satellite Direct-to-Device (D2D) architectures often hard-commit to an orbital regime, forcing suboptimal trade-offs between latency, reliability, and energy. We present, to our knowledge, the first adaptive orbital D2D architecture that dynamically switches among LEO, GEO, and hybrid paths based on real-time Doppler, load, and application QoS. Validated via a LoRa satellite-IoT implementation, our approach improves capacity 3× (936 vs. 312 nodes per gateway at 95% PDR), reduces tail latency by 62% (95th percentile: 342ms vs. 892ms), and lowers energy consumption by 31% via retransmission avoidance. Treating orbital choice as a dynamic optimization addresses core limitations of static designs and generalizes beyond LoRa to cellular and NB-IoT D2D systems, charting a path toward resilient, efficient space-terrestrial IoT.

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Publication Details

Published
2025-11-04
DOI
https://doi.org/10.1145/3737897.3767293
Primary Topic
Satellite Communication Systems
Type
article
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article

Adaptive Orbital Direct-to-Device: Rethinking Satellite IoT Architecture

Mohammad Hosseini, Hannaneh Barahouei Pasandi, Franck Rousseau, Sina Darabi et al.
Satellite Communication Systems
article

Adaptive Orbital Direct-to-Device: Rethinking Satellite IoT Architecture

Mohammad Hosseini, Hannaneh Barahouei Pasandi, Franck Rousseau, Sina Darabi, Juan A. Fraire
article en

Abstract

Current satellite Direct-to-Device (D2D) architectures often hard-commit to an orbital regime, forcing suboptimal trade-offs between latency, reliability, and energy. We present, to our knowledge, the first adaptive orbital D2D architecture that dynamically switches among LEO, GEO, and hybrid paths based on real-time Doppler, load, and application QoS. Validated via a LoRa satellite-IoT implementation, our approach improves capacity 3× (936 vs. 312 nodes per gateway at 95% PDR), reduces tail latency by 62% (95th percentile: 342ms vs. 892ms), and lowers energy consumption by 31% via retransmission avoidance. Treating orbital choice as a dynamic optimization addresses core limitations of static designs and generalizes beyond LoRa to cellular and NB-IoT D2D systems, charting a path toward resilient, efficient space-terrestrial IoT.

Institut polytechnique de Grenoble (FR), Communauté urbaine de Lyon (FR), Institute of Nuclear Physics of Lyon (FR), Shahid Beheshti University (IR), Università della Svizzera italiana (CH), Mazandaran University of Medical Sciences (IR), University of California, Berkeley (US)
Openalex Percentile: Top 55%
Satellite Communication Systems
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Adaptive Orbital Direct-to-Device: Rethinking Satellite IoT Architecture — Mohammad Hosseini, Hannaneh Barahouei Pasandi, et al. · (2025) | TGRS Research Map | TGRS