Decoding Superposed LoRa Signals

Long-range low-power wireless communications, such as LoRa, are used in many IoT and environmental monitoring applications. They typically increase the communication range to several kilometers, at the cost of reducing the bitrate to a few bits per seconds. Collisions further reduce the performance...

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Bibliographic Details
Published in2018 IEEE 43rd Conference on Local Computer Networks (LCN) pp. 184 - 190
Main Authors Rachkidy, Nancy El, Guitton, Alexre, Kaneko, Megumi
Format Conference Proceeding
LanguageEnglish
Published IEEE 01.10.2018
Subjects
Bit rate
Chirp
Decoding
desynchronized signals
Interference cancellation
LoRa
LoRaWAN
LPWAN
Receivers
Synchronization
synchronized signals
Time-frequency analysis
Transmitters
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DOI10.1109/LCN.2018.8638253

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Summary:Long-range low-power wireless communications, such as LoRa, are used in many IoT and environmental monitoring applications. They typically increase the communication range to several kilometers, at the cost of reducing the bitrate to a few bits per seconds. Collisions further reduce the performance of these communications. In this paper, we propose two algorithms to decode colliding signals: one algorithm requires the transmitters to be slightly desynchronized, and the other requires the transmitters to be synchronized. To do so, we use the timing information to match the correct symbols to the correct transmitters. We show that our algorithms are able to significantly improve the overall throughput of LoRa.
DOI:10.1109/LCN.2018.8638253