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Super-LoRa: Enhancing LoRa Throughput via Payload Superposition

2025/04/16 by Salah Abdeljabar, Mohamed‐Slim Alouini, Abdeljabar, Salah +1 · 1 citation
Computer Science · Engineering · #Advanced Wireless Communication Technologies #Age of Information Optimization #FOS: Electrical engineering #IoT Networks and Protocols #Signal Processing (eess.SP) #electronic engineering #information engineering

paper · pdf · doi:10.48550/arxiv.2504.11927

openalex publication_date 2025/04/16 · openalex created_date 2025/10/10 · openalex updated_date 2026/07/28

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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