Continuous Performance Monitoring
Automatic detection of network quality degradation before customer impact
Context
Telecom operators must continuously monitor their network Quality of Service (QoS). Gradual degradations can go unnoticed until they massively affect customers.
Solution
Our continuous monitoring system analyzes Key Performance Indicators (KPI) in real-time and detects subtle drifts before they become critical.
Benefits
- Early anomaly detection
- 60% reduction in resolution time
- Improved customer satisfaction
- Proactive maintenance instead of reactive
Real-time KPI Evolution
Network Traffic Forecasting
Intelligent network traffic anticipation
Context
Network traffic forecasting enables capacity needs anticipation and resource optimization. Machine learning algorithms analyze historical trends to predict future values.
Solution
Our system continuously collects network KPIs and applies predictive models to anticipate the next hours with 95% confidence intervals. Real-time visualization enables proactive decision-making.
Benefits
- Anticipation of load peaks 15-30 minutes ahead
- Proactive network resource allocation
- 40% reduction in congestion
- Confidence intervals to quantify uncertainty
Time series with intelligent forecasting
Hourly network throughput - Last hours are predicted - Shaded area = 95% confidence interval
Radio Interference Analysis
Detection and characterization of interference on 5G spectrum
Context
5G networks are sensitive to interference that degrades signal quality and impacts user experience. Rapid identification of interference type is crucial for resolution.
Solution
Our system analyzes SINR (Signal-to-Interference-plus-Noise Ratio) in real-time across the entire 5G spectrum to identify and characterize interference sources.
Benefits
- Immediate visual identification of problem areas
- Temporal analysis of interference patterns
- Targeted radio spectrum optimization
- Reduction in quality-related customer complaints