Efficient Coded LoRa Transmission Scheme Based on Channel Capacity in Satellite IoT Communication

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Efficient Coded LoRa Transmission Scheme Based on Channel Capacity in Satellite IoT Communication

Studies | 更新时间：2026-01-09

- Efficient Coded LoRa Transmission Scheme Based on Channel Capacity in Satellite IoT Communication
- Space-Integrated-Ground Information Networks Vol. 6, Issue 4, Pages: 96-102(2025)
- 作者机构：
  
  1.河南工程学院，河南郑州 451191
  2.河南工业大学，河南郑州 450001
- 作者简介：
- 基金信息：
  
  The National Natural Science Foundation of China(62201198;62172457);Henan Key R&D and Promotion Projects(252102210230;252102211109)
- DOI：10.11959/j.issn.1000-0801.2025042
  CLC： TN911.23
- Received：27 August 2025，
  
  Revised：2025-09-23，
  
  Published：20 December 2025
- 稿件说明：
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余忠洋,闫玉倩,徐恒舟等.卫星物联网通信中基于信道容量的高效编码LoRa传输方案[J].天地一体化信息网络,2025,06(04):96-102.

YU Zhongyang,YAN Yuqian,XU Hengzhou,et al.Efficient Coded LoRa Transmission Scheme Based on Channel Capacity in Satellite IoT Communication[J].Space-Integrated-Ground Information Networks,2025,06(04):96-102.
余忠洋,闫玉倩,徐恒舟等.卫星物联网通信中基于信道容量的高效编码LoRa传输方案[J].天地一体化信息网络,2025,06(04):96-102. DOI： 10.11959/j.issn.1000-0801.2025042.

YU Zhongyang,YAN Yuqian,XU Hengzhou,et al.Efficient Coded LoRa Transmission Scheme Based on Channel Capacity in Satellite IoT Communication[J].Space-Integrated-Ground Information Networks,2025,06(04):96-102. DOI： 10.11959/j.issn.1000-0801.2025042.

摘要

针对卫星物联网通信中的极低信噪比问题，设计了一种基于信道容量的高效编码LoRa传输方案。首先给出了相应的编码LoRa传输系统模型；接着推导出编码LoRa信号非相干解调的硬/软判决值，分析基于非相干解调的编码LoRa系统的信道容量及可达码率，由此建立了比特信噪比与理想信道容量、近似信道容量之间的关系；最后仿真展示了不同扩频因子下编码LoRa系统的可达码率以及不同码率（包括最优可达码率）下基于理想度量与近似度量的编码LoRa系统性能。以Turbo码和汉明（Hamming）码为例，在相同条件下的Turbo-LoRa传输方案较传统Hamming-LoRa表现出显著性能优势，基于理想度量的低码率Turbo-LoRa较基于近似度量的低码率Turbo-LoRa性能提升约1 dB，但前者复杂度远高于后者。这些结果对未来卫星物联网的可靠传输具有一定指导意义。

Abstract

Considering the extremely low signal-to-noise ratio (SNR) issue in satellite internet of things (IoT) communications

an efficient coded LoRa transmission scheme based on channel capacity is proposed. First

the corresponding coded LoRa transmission system model is presented. Next

the hard/soft-decision values for non-coherent demodulation of coded LoRa signals are derived. Then

the channel capacity and achievable code rate of the coded LoRa system based on non-coherent demodulation are analyzed

resulting to the relationship between the bit SNR and ideal channel capacity

as well as approximate channel capacity. Finally

the achievable code rates of the coded LoRa system under different spreading factors is demonstrated by simulation

followed by the performance of the coded LoRa system based on ideal metric and approximate metric under different code rates (including the optimal achievable code rate). Taking Turbo and Hamming codes as examples

the Turbo-LoRa transmission scheme exhibits significant performance advantages over the traditional Hamming-LoRa under the same conditions. The Turbo-LoRa with low code-rates based on ideal metric has a performance gain of about 1dB compared to the same Turbo-LoRa based on approximate metric

while the complexity of the former is much higher than that of the latter. These results have certain guiding significance for the reliable transmission of future satellite IoT.

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references

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