基于人工智能的LoRa通信频谱传感:物联网传感
Partemie-Marian Mutescu1, Valentin Popa1, Alexandru Lavric1
1Faculty of Electrical Engineering and Computer Science, Ștefan Cel Mare University of Suceava, 720229 Suceava, Romania.
Sensors (Basel, Switzerland)
|May 14, 2025
概括
本研究介绍了一种使用LoRa调制的物联网 (IoT) 混合频谱传感框架. 它有效地识别了多个LoRa传输,改善了不断增长的物联网网络的频谱管理.
科学领域:
- 无线通信无线通信
- 信号处理 信号处理
- 人工智能的人工智能
背景情况:
- 物联网 (IoT) 依赖于无线传感器网络和LoRa调制来实现远程,节能通信.
- 物联网设备的指数式增长 (预计到2034年将达到410亿),使无线电频谱受到限制,导致干扰和降低服务质量.
- 现有的网络容量解决方案不足以满足不断增长的频谱需求.
研究的目的:
- 为LoRa传输提出一种新的混合频谱传感框架.
- 在密集的物联网环境中增强频谱管理和网络容量.
- 开发一个灵活的框架,适应各种通信协议.
主要方法:
- 开发了一个混合框架,将信号处理和人工智能 (AI) 结合起来.
- 从智商样本直接处理宽带信号进行分析.
- 实现了LoRa扩散因子检测和通信通道分析.
主要成果:
- 在识别并发的LoRa传输中,实现了高检测准确度 (96.2%),精度 (99.16%) 和回忆 (95.4%).
- 证明了框架在分析通信道方面的有效性.
- 验证了框架识别和分类多个LoRa信号的能力.
结论:
- 拟议的混合框架为物联网网络中的频谱资源管理提供了一个强大的解决方案.
- 它的灵活架构允许适应LoRa以外的各种通信协议.
- 这一进步对于在物联网部署规模扩大时保持服务质量至关重要.
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