Reusable 5G Private Campus Network Dataset

In the current literature, the measurements on
deployed and operational Fifth-Generation (5G) networks are
still lacking. This study offers a dataset of New Radio (NR) signal
measurements made using the RPTU Kaiserslautern’s private
campus 5G network as well as other public 5G networks to close
this gap. The dataset includes measurements of signal strengths
such as Synchronization Signal Reference Signal Received Power
(SS-RSRP) and Synchronization Signal Signal-to-Interference-
plus-Noise ratio (SS-SINR) of serving cells, as well as signal
strengths of the neighboring public 5G Standalone (SA) and
Non-Standalone (NSA) networks, i.e., within the perimeter of the
campus. The measurements described here are taken at various
indoor and outdoor locations using the Rohde & Schwarz’s
(R&S) TSME6 and TSMA6 scanners. The primary goal of the
dataset is to allow researchers to reuse data from the 5G SA live
network in understanding the radio access network (RAN) and
Physical Layer characteristics of the network and use them for
machine learning purposes to optimize the network. In addition
to this data, several areas where the data can be used for learning
and optimization tasks in the network are provided.