A Two-User Successive Interference Cancellation LoRa Receiver with Soft-Decoding

Xhonneux, Mathieu; Tapparel, Joachim; Scheepers, P.J.J.; Afisiadis, Orion; Balatsoukas‐Stimming, Alexios; Bol, David; Louveaux, Jérôme; Burg, Andreas

doi:10.1109/ieeeconf53345.2021.9723151

Cited by 2 publications

(2 citation statements)

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“…When confronted with multiple preambles of the same SF causing interference, a specialized procedure is necessary. Our proposed approach involves employing the received power of preambles to execute an iterative process akin to the Successive Interference Cancellation (SIC) algorithm [15], [29]. The sub-figure presented on the left side of figure 7 portrays the pattern of the function T (k, p) in an instance where multiple preambles of the same SF are in collision (here SF = 9 and N p = 2).…”

Section: ) Preamble Detection When Interference Occurmentioning

confidence: 99%

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Implementation of A Low-Earth Orbit Satellite Chirped Preamble Detector

Magnant,

Le Gal,

Ferré

et al. 2024

IEEE Trans. Aerosp. Electron. Syst.

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The Internet of Things (IoT) has undergone a significant transformation with the introduction of low-Earth orbit (LEO) satellites as gateways. This transformation fulfills a long-standing promise of IoT, which is to enable the connectivity of objects regardless of their geographical location on Earth. Various physical communication layers have exhibited the sensitivity required for such connections. In this paper, we present a solution designed for IoT network operators employing LEO satellites to detect various uplink IoT communication technologies that share a common preamble. Our proposed approach has been implemented on three ARM cores, specifically the Cortex-A9 and Cortex-A53, which are integrated into AMD Zynq and Zynq UltraScale+ based platforms designed to meet spatial constraints. Our experiments confirm that the proposed approach exhibits real-time capabilities, even when executed on these lower-end processor targets, consuming only approximately 10% of the CPU time. Experiments were performed on both synthetic data and real traffic recordings from Eutelsat's ELO2 payload hosted in the Loft Orbital's Yam-3 LEO nanosatellite, and showed promising results.

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Section: ) Preamble Detection When Interference Occurmentioning

confidence: 99%

“…In the literature, several effective preamble detection strategies for current LPWAN technologies used on the ground have been developed and evaluated in simulation [15]- [18]. The authors in [19] and [20] also proposed implementation and measurement results for their algorithms.…”

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confidence: 99%