Are LoRa Logical Channels Really Orthogonal? Practically Orthogonalizing Massive Logical Channels

LoRaWANs are envisioned to connect billions of IoT devices through thousands of physically overlapping yet logically orthogonal channels (termed logical channels). These logical channels hold significant potential for enabling highly concurrent scalable IoT connectivity. Large-scale deployments however face strong interference between logical channels. This practical issue has been largely overlooked by existing works but becomes increasingly prominent as LoRaWAN scales up. To address this issue, we introduce Canas, an innovative gateway design that is poised to orthogonalize the logical channels by eliminating mutual interference. To this end, Canas develops a series of novel solutions to accurately extract the meta-information of individual ultra-weak LoRa signals from the received overlapping channels. The meta-information is then leveraged to accurately reconstruct and subtract the LoRa signals over thousands of logical channels iteratively. Real-world evaluations demonstrate that Canas can enhance concurrent transmissions across overlapping logical channels by 2.3× compared to the best known related works.

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Publication Details

Published
2025-06-23
DOI
https://doi.org/10.1145/3711875.3729125
Citations
2
Primary Topic
IoT Networks and Protocols
Type
article
Field-Weighted Citation Impact
1.46

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article

Are LoRa Logical Channels Really Orthogonal? Practically Orthogonalizing Massive Logical Channels

Shiming Yu, Xianjin Xia, Yuanqing Zheng, Jiliang Wang et al.
2 citations
IoT Networks and Protocols
1.46
article

Are LoRa Logical Channels Really Orthogonal? Practically Orthogonalizing Massive Logical Channels

Shiming Yu, Xianjin Xia, Yuanqing Zheng, Jiliang Wang, Ziyue Zhang
article en
2 citations

Abstract

LoRaWANs are envisioned to connect billions of IoT devices through thousands of physically overlapping yet logically orthogonal channels (termed logical channels). These logical channels hold significant potential for enabling highly concurrent scalable IoT connectivity. Large-scale deployments however face strong interference between logical channels. This practical issue has been largely overlooked by existing works but becomes increasingly prominent as LoRaWAN scales up. To address this issue, we introduce Canas, an innovative gateway design that is poised to orthogonalize the logical channels by eliminating mutual interference. To this end, Canas develops a series of novel solutions to accurately extract the meta-information of individual ultra-weak LoRa signals from the received overlapping channels. The meta-information is then leveraged to accurately reconstruct and subtract the LoRa signals over thousands of logical channels iteratively. Real-world evaluations demonstrate that Canas can enhance concurrent transmissions across overlapping logical channels by 2.3× compared to the best known related works.

Hong Kong Polytechnic University (HK), Tsinghua University (CN)
National Natural Science Foundation of China
Openalex Percentile: Top 15%
IoT Networks and Protocols
1.46
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