Juan A. Fraire

Researcher in Space Networking and Informatics

Inria CONICET Saarland University

Publications Journal article · Satellite IoT · 2026

Blind vs. Satellite-Detect Uplink in LEO Direct-to-Satellite IoT: An Analytical Threshold

Juan A. Fraire, Benoit Coeugnet, Oana Iova, André-Luc Beylot, and Vincent Deslandes

IEEE Transactions on Vehicular Technology, 2026

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Abstract

Direct-to-Satellite IoT (DtS-IoT) networks deploy Low Earth Orbit (LEO) nanosatellites as fast-moving gateways for stationary, mobile, and vehicular sensor platforms. Their intermittent contact windows force a fundamental uplink design choice: transmit blindly and accept a non-zero loss probability, or first detect an overhead satellite via a downlink beacon. We derive a first-order analytical design rule for this trade-off and obtain a closed-form crossover constellation size that depends on only two dimensionless quantities: a beacon-overhead parameter, which combines the receive-to-transmit power ratio, the receiver duty cycle, the beacon period, and the uplink frame duration, and the single-satellite coverage fraction set by altitude and elevation mask. Below the threshold satellite-detect is more energy-efficient; above it, blind uplink wins. Walker Star propagation simulations locate the geometry-specific crossover and delimit the validity regime of the independent-coverage approximation, a parametric study quantifies how altitude, elevation mask, and duty cycle shift the threshold, and a lightweight ALOHA collision extension cross-checked by Monte Carlo assesses its sensitivity to offered load, including the pass-start traffic bursts that penalise beacon-triggered access. For baseline LoRa-over-satellite parameters (600 km altitude, 1% receiver duty cycle) the analytical threshold is about 220 satellites, while the propagated Walker Star crossover lies at about 120 satellites because structured constellations saturate coverage earlier than independent satellites. For 3GPP NB-IoT over non-terrestrial networks, under a chipset-averaged power ratio derived from public module datasheets, the threshold rises to about 540 satellites in the absence of acquisition overhead and falls below 200 once a synchronisation chain of 100 ms is charged to every delivery, identifying the constellation sizes beyond which a hypothetical lightweight-access mode would outperform today's acquisition-mandatory protocol.

Cite

DOI 10.1109/tvt.2026.3733173

BibTeX
@article{fraire2026blinddetect,
  author  = {Fraire, Juan A. and Coeugnet, Benoit and Iova, Oana and Beylot, Andr{\'e}-Luc and Deslandes, Vincent},
  title   = {Blind vs. Satellite-Detect Uplink in {LEO} Direct-to-Satellite {IoT}: An Analytical Threshold},
  journal = {IEEE Transactions on Vehicular Technology},
  year    = {2026},
  doi     = {10.1109/tvt.2026.3733173}
}

More on satellite IoT

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    Delivering downlink (DL) ACKs to Class A LoRaWAN devices via low Earth orbit (LEO) satellite constellations requires predicting end-to-end propagation delays of 10–500 ms to hit a 1-s receive window, a timing challenge absent from terrestrial schedulers. We present downlink optimization for robust direct-to-satellite LoRaWAN (DORSAL), the first mixed-integer linear programming (MILP) scheduler for DL delivery in direct-to-satellite (DtS) LoRaWAN networks. It introduces the downlink arrival receive-window timing (DART) as the central constraint to jointly optimize gateway (GW) selection and packet injection timing across ISL-capable and bent-pipe architectures. Evaluation on a Walker 5× 5 polar constellation (25 satellites, 650 km) and a commercial ground station (GS) network yields five results: 1) DART infeasibility blocks 73% of bent-pipe deliveries regardless of scheduler quality: DART-unaware approaches collapse from 93% nominal to only 20% real delivery; 2) ISL routing raises %ACK by + 67.4 pp over bent-pipe (91.6% versus 24.2% at n_mathrm GS=3 ground stations, ISM band) by eliminating the three-way simultaneous-visibility constraint, with 73% of ACKs delivered via ≥ 2 -hop paths; 3) ISL %ACK is nearly flat across n_mathrm GSin 3,6,12 GSs (91.6%–92.7%), showing that a minimal three-station polar network captures the full scheduling benefit of an ISL-equipped constellation; 4) ISL hardware speed has negligible impact up to 300 ms/hop: %ACK is flat from 0 to 300 ms, then degrades in two discrete steps (−5.3 pp at 500 ms, −2 pp at 700 ms) as successive hop-count tiers lose causal injection feasibility; and 5) the MILP solves to proven optimality within seconds for up to 10^3 devices, confirming that the sparse conflict-graph structure keeps the problem tractable at realistic Internet of Things (IoT) subscriber counts.

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