5G cores generate more operational data than teams can effectively utilise
Network functions continuously produce vast amounts of data, making it difficult to extract timely insights that improve operational performance.
Power Intelligent, Autonomous 5G Networks
We deliver a 3GPP-compliant Network Data Analytics Function (NWDAF) that transforms real-time network data into predictive intelligence, enabling smarter decisions, automated optimisation, and continuous improvement across 5G Standalone networks.
Challenges
Industry Challenges
Static network policies cannot keep pace with dynamic network conditions
Traffic demand, subscriber mobility, service usage, and slice performance change constantly, requiring analytics-driven decision-making rather than fixed operational rules.
Manual optimisation limits network agility
Operations teams often rely on reactive analysis and manual intervention, delaying optimisation and reducing overall network efficiency.
Delivering differentiated services requires continuous intelligence
Maintaining service quality across network slices, enterprise workloads, and evolving subscriber demands depends on real-time analytics that support intelligent network behaviour.
Product Overview
The Intelligence Layer for 5G Standalone Networks
NWDAF (Network Data Analytics Function) is the analytics engine defined by 3GPP for 5G Standalone networks. It collects operational data from multiple network functions, enriches network intelligence with DPI-derived application insights, analyses network behaviour using AI and machine learning, and exposes actionable analytics to authorised network functions and operational systems.
NWDAF delivers predictive insights into traffic demand, subscriber mobility, network load, service experience, and network slice performance for consumption by authorised network functions and operational systems.
The Outcomes Are Clear
01
Predictive intelligence
02
Smarter network decisions
03
More autonomous 5G operations
Capabilities
Product Capabilities
3GPP-Compliant Network Data Analytics Function
Implement standards-based analytics that integrate seamlessly with the 5G Standalone Core while supporting interoperability across multi-vendor environments.
Cross-Domain Network Analytics
Collect and correlate analytics from multiple 5G network functions to create a comprehensive operational view of network behaviour.
AI/ML-Powered Predictive Analytics
Forecast network demand, traffic patterns, resource utilisation, and congestion using machine learning models trained on real-time operational data.
Intelligent Anomaly Detection
Continuously identify abnormal network conditions, operational deviations, and emerging service risks before they impact network performance.
Network Slice Analytics
Monitor utilisation, performance, and Quality of Service across individual network slices to support differentiated enterprise and consumer services.
Subscriber Mobility Intelligence
Analyse mobility behaviour and handover patterns to improve resource allocation, mobility management, and service continuity.
Analytics Exposure Services
Provide authorised network functions and operational systems with standards-based analytics that support intelligent policy decisions and automated optimisation.
Closed-Loop Network Optimisation
Enable policy-driven automation by supplying predictive analytics that support dynamic resource management and autonomous network operations.
Process
How It Works
01
Collect Analytics from Network Functions
NWDAF continuously gathers operational data from multiple 5G Core network functions, creating a unified analytics foundation.
02
Correlate and Learn
AI/ML models analyse relationships between network load, subscriber behaviour, mobility events, service performance, and network slice utilisation.
03
Generate Predictive Intelligence
The platform forecasts demand, detects anomalies, and produces analytics that anticipate changing network conditions before they affect performance.
04
Expose Actionable Analytics
Standards-based analytics services make insights available to authorised network functions and operational systems for policy and operational decision-making.
05
Enable Autonomous Optimisation
Network functions consume analytics to optimise resources, improve service quality, and automate operational decisions in real time.
Results
Key Outcomes
Smarter Network Decisions
Enable network functions and operations teams to make data-driven decisions using real-time analytics from across the 5G Core.
Improved Network Efficiency
Optimise capacity, resource allocation, and utilisation through predictive analytics and intelligent policy decisions.
Intelligent Network Slice Management
Maintain consistent performance across multiple network slices while supporting differentiated enterprise and consumer services.
Proactive Congestion Prevention
Predict traffic growth and emerging bottlenecks before they impact network performance or customer experience.
Accelerated Network Automation
Support closed-loop optimisation that reduces manual intervention and improves operational agility.
Foundation for Autonomous Networks
Build an intelligent analytics layer that supports the evolution towards self-optimising and autonomous 5G networks.