Berlin V2X

The Berlin V2X dataset offers high-resolution GPS-located wireless measurements across diverse urban environments in the city of Berlin for both cellular and sidelink radio access technologies, acquired with up to 4 cars over 3 days. The data enables thus a variety of different ML studies towards vehicle-to-anything (V2X) communication.

The data includes information on

• physical layer parameters (such as signal strength and signal quality)
• cellular radio resource management like cell identity, carrier aggregation and assigned resource blocks
• wireless Quality of Service (QoS) like delay and throughput (for cellular) or packet error rate (for sidelink)
• positioning information.

The datasets are labelled and pre-filtered for a fast on-boarding and applicability. The measurement methodology pursues an application to Machine Learning (ML) for tasks such as QoS prediction, transfer learning, proactive radio resource allocation or link selection, among others.