Reusable 5G Private Campus Network Dataset

<p>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&rsquo;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 &amp; Schwarz&rsquo;s<br> (R&amp;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.</p>