Publications Preprint · Satellite IoT · 2026
Transmit Less, Deliver More: Frugal On-Device Intelligence for Energy- and Spectrum-Sustainable Direct-to-Satellite IoT
HAL preprint, 2026
Abstract
The terminals that make direct-to-satellite IoT affordable are cheap, battery-powered, and effectively blind. A device cannot hear whether a satellite is overhead, so it transmits the same packet many times and hopes. In a representative LoRa scenario, fewer than one in five of those transmissions is received, and each wasted frame drains a battery nobody will travel to replace while radiating interference into a band shared with everyone else. A terminal able to decline a transmission it expects to lose changes both budgets at once. In closed-loop simulation, a tiny on-device predictor delivers 16.1% more unique packets while emitting 41.6% fewer transmissions, halving the radio energy per delivered packet, returning two-fifths of the airtime to the band, and delivering 2.3 times more data than the blind policy at a matched energy budget.
We then ask what the intelligence itself costs. Scored on identical data, a classifier that sees no history at all lands within seed noise of a Transformer; every nonlinear model we tried falls inside the same narrow accuracy band, and their deployed sizes span five orders of magnitude. Accuracy stops discriminating long before cost does. We argue that inference energy and runtime footprint must be charged against the transmissions saved before any model is called necessary, and we give the resulting design rule for frugal intelligence in non-terrestrial networks.
Cite
BibTeX
@article{choquenaira2026frugal,
author = {Choquenaira-Florez, Alexander Y. and Rivano, Herv{\'e} and Fraire, Juan A.},
title = {Transmit Less, Deliver More: Frugal On-Device Intelligence for Energy- and Spectrum-Sustainable Direct-to-Satellite {IoT}},
journal = {HAL preprint},
year = {2026},
url = {https://hal.science/hal-05800184}
}