UPC-LPWAN-1: a comprehensive dataset for Sub-GHz LPWAN signal classification

The UPC-LPWAN-1 dataset is a comprehensive collection of Sub-GHz Low-Power Wide-Area Network (LPWAN) signal recordings, meticulously curated to address the need for standardized datasets in the evaluation and comparison of machine learning models for system/signal classification. This dataset contains a diverse array of transmission schemes including both single Carrier and multi Carrier transmision modes of 802.15.4g-2020 (WiSUN), IEEE 802.15.4g-2012, IEEE 802.11ah (WiFi HaLow), LoRa and SigFox resulting in a total of 40 classes. For this purpose, multiple commercial boards and devices have been used, generating a wide range of signals that cover all possible configurations. UPC-LPWAN-1 is publicly available to the scientific community, offering both raw recordings that can be freely modified for various research purposes and a post-processed version ready to use and with a variety of signal-to-noise ratios. This dataset aims at playing a significant contribution to the field of LPWAN signal analysis.

UPC-LPWAN-1数据集是一套经精心遴选整理的亚千兆赫兹低功耗广域网（Sub-GHz Low-Power Wide-Area Network，LPWAN）信号记录综合性数据集，旨在满足系统/信号分类机器学习模型评估与对比研究对标准化数据集的需求。该数据集覆盖丰富多样的传输方案，包含802.15.4g-2020（WiSUN）、IEEE 802.15.4g-2012、IEEE 802.11ah（WiFi HaLow）、LoRa与SigFox的单载波及多载波传输模式，共计40个类别。为构建该数据集，研究团队采用多款商用板卡与设备，生成了覆盖所有可能配置的多类信号。UPC-LPWAN-1数据集面向全球科研社区公开共享，既提供可自由修改以适配各类研究用途的原始信号记录，也提供经过后处理、可直接使用且涵盖多种信噪比的数据集版本。本数据集旨在为LPWAN信号分析领域作出重要贡献。