Super-LoRa: Enhancing LoRa Throughput via Payload Superposition

Published in IEEE Internet of Things Journal, 2025

Abstract:

This article 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 5× compared to standard LoRa. This advancement positions Super-LoRa as a viable solution for data-intensive Internet of Things applications, such as smart cities and precision agriculture, which demand higher data transmission rates.

S. Abdeljabar and M.-S. Alouini. (2025). “Super-LoRa: Enhancing LoRa Throughput via Payload Superposition.” IEEE Internet of Things Journal.
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