Super-LoRa: Enhancing LoRa Throughput via Payload Superposition

Salah Abdeljabar; Mohamed-Slim Alouini

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arXiv · 2504.11927

Super-LoRa: Enhancing LoRa Throughput via Payload Superposition

Salah Abdeljabar·Mohamed-Slim Alouini

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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.

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BibTeX RIS

Salah Abdeljabar, Mohamed-Slim Alouini. 2025-04-16. Super-LoRa: Enhancing LoRa Throughput via Payload Superposition. https://arxiv.org/abs/2504.11927

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