Performance Management Counters from Live 5G, 4G and 2G Radio Access Network

Area of Science:

• Telecommunications Engineering
• Computer Science
• Data Science

Background:

• Live cellular network data, especially across multiple technologies (2G, 4G, 5G), is scarce.
• Existing datasets often lack real-world energy consumption and detailed performance indicators.

Purpose of the Study:

• To introduce a novel, open dataset of live multi-technology cellular network performance.
• To provide granular data including energy consumption, user activity, and radio metrics for research.

Main Methods:

• Collected Performance Management (PM) counters from operational 2G, 4G, and 5G base stations in Slovakia.
• Mapped data to cell-level granularity at 15-minute intervals.
• Included metrics such as energy consumption, utilization, CQI, RRC users, data volume, and MIMO rank.

Main Results:

• A comprehensive dataset correlating multi-technology RAN performance with energy consumption is now available.
• The dataset enables analysis of live network behavior across different generations and bands.
• Internal consistency validation confirms data reliability.

Conclusions:

• The dataset facilitates research in energy-aware Radio Access Network (RAN) optimization.
• It supports advancements in data-driven network management and cross-layer performance modeling.
• The open release under CC BY license promotes reproducible telecommunications research.