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Super-LoRa: Enhancing LoRa Throughput via Payload Superposition

Signal Processing 2025-04-17 v1

Abstract

This paper presents Super-LoRa, a novel approach to enhancing the throughput of LoRa networks by leveraging the inherent robustness of LoRa modulation against interference. By superimposing multiple payload symbols, Super-LoRa significantly increases the data rate while maintaining lower transmitter and receiver complexity. Our solution is evaluated through both simulations and real-world experiments, showing a potential throughput improvement of up to 5x compared to standard LoRa. This advancement positions Super-LoRa as a viable solution for data-intensive IoT applications such as smart cities and precision agriculture, which demand higher data transmission rates.

Cite

@article{arxiv.2504.11927,
  title  = {Super-LoRa: Enhancing LoRa Throughput via Payload Superposition},
  author = {Salah Abdeljabar and Mohamed-Slim Alouini},
  journal= {arXiv preprint arXiv:2504.11927},
  year   = {2025}
}
R2 v1 2026-06-28T23:00:18.241Z