A full factorial parameter study on 5G NR conducted in the University of Wuerzburg 5G campus network. The dataset contains aggregated measurements of channel quality, energy consumption, and traffic KPIs for two gNB types and two modems across varied configurations. Lukas Kilian Schumann published this dataset on April 23, 2026.
Use Cases
- Modeling the relationship between network parameters and energy consumption based on recorded modem and gNB power measurements.
- Analyzing Quality of Service (QoS) trade-offs based on traffic type KPIs and channel quality indicators like SNR and RSRP.
- Benchmarking different gNB software implementations (OAI vs. srsRAN) under controlled hardware conditions.
- Investigating the impact of TDD configuration and channel bandwidth on throughput and latency.
Strengths
- Includes a full factorial study of 7 key network parameters, such as gNB type, bandwidth, and traffic type.
- Measures multiple correlated variables, including energy consumption, CPU instructions, and cache misses for the gNB.
- Provides both processed, aggregated data in a .parquet file and the raw measurement artifacts.
Limitations
- Column-level documentation is absent; field semantics must be inferred after download.
- Row count is unknown, which may limit suitability assessment for large-scale modeling.
Provenance
- Source
- University of Wuerzburg 5G campus network.
- Collection Method
- Measurements conducted with a custom automation framework using specified hardware (USRP B210 SDR, SIMCom and Quectel modems).
- Time Range
- null
- Freshness
- Last updated 2026-04-23 17:47:00; freshness should be verified.
- Geography
- null