在LoRa系统中使用的传播模型的批判性审查
Joaquim Amândio Azevedo1, Fábio Mendonça2,3
1Center for Research in Mathematics and Applications (CIMA), Faculty of Exact Sciences and Engineering, University of Madeira, 9020-105 Funchal, Portugal.
Sensors (Basel, Switzerland)
|June 27, 2024
概括
本综述检查了长距离 (LoRa) 系统的实证传播模型,这对于无线传感器网络规划至关重要. 它分析模型参数和环境影响,以提高路径损失预测的准确性.
科学领域:
- 无线通信无线通信
- 信号传播建模 信号传播建模
背景情况:
- 长距离 (LoRa) 系统为无线传感器网络提供扩展范围和低功耗.
- 准确的传播模型对于有效的LoRa网络部署和规划至关重要.
研究的目的:
- 审查和评估LoRa网络的实证传播模型.
- 分析模型参数与环境因素之间的关系.
- 在LoRa传播建模中确定未来研究领域.
主要方法:
- 检查常用的经验传播模型.
- 评估模型在不同环境 (室外,室内,植被) 中的适用性.
- 从已发表的LoRa测量中提取和分析日志距离模型参数.
- 评估用于LoRa路径损失预测的多斜坡模型.
主要成果:
- 在大多数实证传播模型中,对数分解是普遍存在的.
- 环境因素显著影响模型参数.
- 将模型预测与LoRa测量结果进行比较,发现了成功和局限性.
- 多斜坡模型显示了增强路径损失预测准确性的潜力.
结论:
- 现有的实证模型为LoRa网络规划提供了基础,但存在局限性.
- 需要进一步的研究来完善各种复杂环境的传播模型.
- 改进的实证模型将提高LoRa部署的可靠性和效率.
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