Spectrum Challange 2 Dataset

该数据集包含了来自协作智能无线网络（CIRN）中无线节点的遥测数据，这些网络被部署在多种环境中，并与其他CIRN网络进行竞争。数据涵盖了两个不同信道分配策略和帧错误率的模拟战（Scr4和Scr5）的信息。此外，该数据集还包含了SC2协作智能无线网络（CIRN）的文档和技术设计报告，探讨了包括城市和农村场景在内的多种无线环境。规模方面，Scr4涉及154个节点，而Scr5则涵盖了408个节点，分布在14个场景中。该任务旨在预测无线边缘学习环境中的帧错误。

This dataset contains telemetry data from wireless nodes in Collaborative Intelligent Radio Networks (CIRN), which are deployed in diverse environments and compete with other CIRN networks. The data covers information from two simulated scenarios (Scr4 and Scr5) with distinct channel allocation strategies and frame error rates. Additionally, this dataset also includes documents and technical design reports for the SC2 Collaborative Intelligent Radio Network (CIRN), which discusses multiple wireless environments including urban and rural scenarios. In terms of scale, Scr4 involves 154 nodes, while Scr5 covers 408 nodes distributed across 14 scenarios. The target task of this dataset is to predict frame errors in wireless edge learning environments.