Reusable 5G Private Campus Network Dataset
收藏资源简介：
In the current literature, the measurements on<br> deployed and operational Fifth-Generation (5G) networks are<br> still lacking. This study offers a dataset of New Radio (NR) signal<br> measurements made using the RPTU Kaiserslautern’s private<br> campus 5G network as well as other public 5G networks to close<br> this gap. The dataset includes measurements of signal strengths<br> such as Synchronization Signal Reference Signal Received Power<br> (SS-RSRP) and Synchronization Signal Signal-to-Interference-<br> plus-Noise ratio (SS-SINR) of serving cells, as well as signal<br> strengths of the neighboring public 5G Standalone (SA) and<br> Non-Standalone (NSA) networks, i.e., within the perimeter of the<br> campus. The measurements described here are taken at various<br> indoor and outdoor locations using the Rohde & Schwarz’s<br> (R&S) TSME6 and TSMA6 scanners. The primary goal of the<br> dataset is to allow researchers to reuse data from the 5G SA live<br> network in understanding the radio access network (RAN) and<br> Physical Layer characteristics of the network and use them for<br> machine learning purposes to optimize the network. In addition<br> to this data, several areas where the data can be used for learning<br> and optimization tasks in the network are provided.
当前相关学术文献中，针对已部署并投入运营的第五代（5G，Fifth-Generation）网络的实测数据仍较为匮乏。为填补这一研究空白，本研究依托凯泽斯劳滕RPTU（RPTU Kaiserslautern）的私有校园5G网络及其他公共5G网络，采集得到新空口（New Radio，NR）信号测量数据集。 该数据集涵盖服务小区的信号强度测量项，包括同步信号参考信号接收功率（Synchronization Signal Reference Signal Received Power，SS-RSRP）与同步信号信干噪比（Synchronization Signal Signal-to-Interference-plus-Noise Ratio，SS-SINR），同时包含校园范围内邻近的公共5G独立组网（Standalone，SA）与非独立组网（Non-Standalone，NSA）网络的信号强度数据。 本次实测采用罗德与施瓦茨（Rohde & Schwarz，R&S）的TSME6与TSMA6信号扫描仪，在多处室内外点位完成数据采集。 本数据集的核心目标是为研究人员提供可复用的5G独立组网现网数据，助力其深入理解网络的无线接入网（radio access network，RAN）与物理层（Physical Layer）特性，并将这些数据应用于机器学习相关任务以实现网络优化。 除上述数据集外，本研究还列举了该数据集可用于网络学习与优化任务的多个应用场景。
