UNICORN: Key Performance Indicators for URLLC Traffic in O-RAN

UNICORN is a dataset containing Key Performance Indicators (KPIs) for Ultra-Reliable Low-Latency Communication (URLLC) traffic within Open Radio Access Networks (O-RAN). It was authored by Nasim Soltani and published via the Texas Data Repository on the Dataverse platform, with a last recorded update in October 2025. The dataset's specific content, scale, and collection methodology require verification after download.

Use Cases

• Modeling and predicting network latency for URLLC applications (inferred from domain, verify after download)
• Benchmarking AI/ML algorithms for real-time KPI anomaly detection in O-RAN (inferred from domain, verify after download)
• Simulating traffic patterns to test network slicing and resource allocation policies (inferred from domain, verify after download)

Strengths

• Published on the authoritative Dataverse platform via the Texas Data Repository.
• Last updated on 2025-10-15 03:56:21, indicating recent maintenance.
• Platform tags explicitly indicate relevance to O-RAN, URLLC, and KPI data.

Limitations

• Metadata is minimal; actual content, column definitions, and data quality require verification after download.
• Row count, file size, and specific file formats are unknown, which may limit suitability assessment.
• Column-level documentation is absent; field semantics must be inferred after download.

Provenance

Source

Texas Data Repository Harvested Dataverse

Collection Method

Unknown

Time Range

Unknown

Freshness

Last updated 2025-10-15 03:56:21

Geography

Unknown