Remote Driving Dataset in UPV's 5G Private network (n40)

This dataset contains network performance measurements collected during a 5G drive-test at the Universitat Politècnica de València (UPV) campus. The data was collected using a remote-driven 4-wheeled robot as part of the Work Package 4 of the IMAGINE-B5G project (Grant agreement No.:101096452). The primary objective of the campaign was to evaluate performance under different Network Slicing and 5G QoS Identifier (5QI) configurations.

The experiment involved simultaneous data collection using two measurement tools:

• Network side measurements (IXchariot): Traffic injection to benchmark end-to-end performance (Throughput, latency...)
• UE side measurements (Keysight NEMO): Physical layer parameters recorded directly from the User Equipment (UE) (ASUS Snapdragon and Samsung S25 Ultra). Metrics include: RSRP, RSRQ, SINR, CQI, Modulation Scheme, Rank indicator and GPS position.

The dataset is divided into 6 folders, 1 for each separate test. With the tests being described in the "TestDescriptions.xlsx" file. Specifically, these scenarios cover different combinations of QoS priorities (5QI) and radio resources.
Each folder is comprised of the following files:

• Test_X_E2E_Measurements folder: Containing the measurements performed with the IXchariot tool (for all the UEs)
• Test_X_E2E_Report.pdf: Detailed report of the E2E measurements included in the Test_X_E2E_ Measurements folder
• Test_X_Asus.csv: Containing the measurements performed with the Asus Snapdragon UE with the Keysight NEMO tool.
• Test_X_S25.csv: Containing the measurements performed with the Samsung S25 UE with the Keysight NEMO tool.