Cross-layer UAV Dataset for 6G AI-driven Analytics

Le résumé fourni par la source

This work presents a cross-layer dataset collected in a 5G testbed with a UAV acting as a mobile user equipment. The dataset includes synchronized UAV mobility measurements, radio access network metrics from O-RAN disaggregated DU, CU, and UE, and application-level performance metrics from synthetic traffic and video streaming. The experimental campaign includes controlled scenarios with different traffic loads, uplink power control configurations, UAV trajectories, and mobility patterns. The dataset enables cross-layer analysis of mobility, radio, and application performance and supports use cases such as spatial performance analysis, uplink-limited communication analysis, QoE modeling, and network-based localization using only network measurements. The dataset is publicly released to support research on AI-driven and integrated communication and sensing systems for beyond-5G and 6G networks.

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