Enhanced Group-Based Chirp Spread Spectrum Modulation: Design and Performance Analysis

Quantao Yu, Hua Wang*, Dongxuan He*, Zhiping Lu

*此作品的通讯作者

科研成果: 期刊稿件文章同行评审

摘要

LoRa is one of the most prominent low power wide area network (LPWAN) technologies for Internet of Things (IoT) applications. As the core technique of LoRa physical (PHY) layer, chirp spread spectrum (CSS) modulation is employed to support low power and long range communications. Although it provides a compelling trade-off between coverage and data rate, the relatively low spectral efficiency (SE) is still a limiting factor for its extensive applications. In this paper, we propose two enhanced group-based CSS modulation schemes, named IQ-GCSS (in-phase and quadrature group-based CSS) and TDM-GCSS (time domain multiplexed group-based CSS), which can achieve much higher SE than the conventional LoRa modulation. The transmitter architectures of our proposed modulation schemes are presented along with both coherent and non-coherent detection methods. Moreover, an overall performance analysis of our proposed schemes is provided in terms of bit error rate (BER) and computational complexity. Numerical results not only validate the accuracy of our theoretical analysis but also demonstrate substantial performance improvements of our proposed schemes in terms of effective throughput compared to the classical counterparts.

源语言英语
期刊IEEE Internet of Things Journal
DOI
出版状态已接受/待刊 - 2024

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Yu, Q., Wang, H., He, D., & Lu, Z. (已接受/印刷中). Enhanced Group-Based Chirp Spread Spectrum Modulation: Design and Performance Analysis. IEEE Internet of Things Journal. https://doi.org/10.1109/JIOT.2024.3486126