NETSCOUT AI-Curated RAN Data: When Green KPIs Lie

Mobile operators have long relied on key performance indicators (KPIs) and counters to measure network health. Handover success rates, drop rates, and throughput averages appear reassuring on dashboards, yet subscribers still report call drops, poor throughput, and inconsistent experience. The gap between green KPIs and real customer experience is widening — and NETSCOUT addresses it with AI-curated RAN data that preserves correlation and causality across the full subscriber journey.

What was announced

NETSCOUT has detailed how its AI-curated RAN data transforms mobile network analytics by moving beyond isolated metrics toward correlated, causality-preserving datasets ready for AI models. The company published four operator success stories that illustrate how curated data enables real situation awareness, accurate root cause analysis, and actionable recommendations.

The four documented use cases include: detecting call drops that occur after technically successful handovers; identifying unnecessary neighbor relations causing ultra-short dwell times in dense urban corridors; eliminating ping-pong handovers caused by lack of cell dominance in overlap areas; and optimizing 5G carrier aggregation by aligning UE capabilities, network decisions, and radio conditions.

Why this matters

For CTOs, network operations directors, and RAN engineering leaders, the shift from metrics to meaning has direct financial and operational impact. Green KPIs create false confidence: signaling succeeds, but customer experience degrades, capacity is wasted on control-plane traffic, and root causes remain invisible. AI models trained on fragmented KPI exports produce unreliable insights and inflate cloud and storage costs.

By curating and enriching only the relevant data while preserving causality between events, NETSCOUT reduces the total cost of ownership of AI-driven network operations and improves the accuracy of automated optimization recommendations. This is critical for operators scaling 5G, deploying carrier aggregation, and preparing for autonomous network operations.

Technical details

• Correlation and causality preservation: events are linked across the subscriber journey rather than stored as isolated counters.
• State-machine-based single-call analysis at scale: reveals ultra-short dwell patterns and their statistical significance.
• Handover intelligence: identifies suboptimal configuration parameters behind post-handover drops and recommends precise adjustments.
• Ping-pong detection: correlates mobility patterns with radio measurements to identify lack of dominance as the root cause.
• Carrier aggregation optimization: aligns UE capabilities, band combinations, radio conditions, and retainability in a single dataset.
• Relevance and enrichment: curates only what matters, reducing data volume and AI context-window cost while preserving insight.

Softprom and NETSCOUT

Softprom is the official distributor of NETSCOUT. Enterprises, service providers, and mobile operators can obtain licensing, technical consulting, proof-of-concept support, and post-sale services through Softprom.

This content was prepared as part of the Softprom DistriFlow project — an automated system for monitoring and adapting vendor news. Original source: original article.