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

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 tradeoff between coverage and data rate, the relatively low-spectral efficiency (SE) is still a limiting factor for its extensive applications. In this article, we propose two enhanced group-based CSS modulation schemes, named in-phase and quadrature group-based CSS (IQ-GCSS) and time domain multiplexed group-based CSS (TDM-GCSS), 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 noncoherent 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.

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Publication Details

Journal
IEEE Internet of Things Journal
Published
2024-10-24
DOI
https://doi.org/10.1109/jiot.2024.3486126
Citations
5
Primary Topic
IoT Networks and Protocols
Type
article
Field-Weighted Citation Impact
1.04

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article

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

Dongxuan He, Quantao Yu, Zhiping Lu, Hua Wang
5 citations
IEEE Internet of Things Journal
IoT Networks and Protocols
1.04
article

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

Dongxuan He, Quantao Yu, Zhiping Lu, Hua Wang
article en
5 citations

Abstract

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 tradeoff between coverage and data rate, the relatively low-spectral efficiency (SE) is still a limiting factor for its extensive applications. In this article, we propose two enhanced group-based CSS modulation schemes, named in-phase and quadrature group-based CSS (IQ-GCSS) and time domain multiplexed group-based CSS (TDM-GCSS), 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 noncoherent 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.

IEEE Internet of Things JournalVol. 12(5)
Beijing Institute of Technology (CN), Beijing University of Posts and Telecommunications (CN)
National Natural Science Foundation of China
Openalex Percentile: Top 23%
IoT Networks and Protocols
1.04
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Enhanced Group-Based Chirp Spread Spectrum Modulation: Design and Performance Analysis — Dongxuan He, Quantao Yu, et al. · IEEE Internet of Things Journal (2024) | TGRS Research Map | TGRS