Network Data Analytics Function (NWDAF) – 3GPP Rel-16, 17 & 18 Compliant
The Network Data Analytics Function(NWDAF) is a cornerstone of intelligent automation in 5Gnetworks, enabling data-driven decision-making across the entire network ecosystem. NWDAF collects, analyzes, and distributes analytics insights to various Network Functions (NFs) and Operations, Administration, and Maintenance(OAM) systems to enhance performance, efficiency, and user experience.
At Courzad, our NWDAF solution is fully compliant with 3GPP Release 17 and 18, offering a future-ready analytics engine that supports a wide range of standardized and extensible use cases for both core and RAN domains. Our platform is cloud-native, containerized, and designed for seamless integration with existing 5G Service-Based Architecture (SBA).
Key Feature:
- Rel-16, 17 & 18 Compliance– Ensures compatibility with the latest 3GPP-defined APIs, analytics types, and ML model provisioning mechanisms.
- Support for Predictive and Statistical Analytics– Real-time and historical insights to optimize NF behavior and orchestrate resource usage.
- ML Model Integration– Plug-and-play capability for machine learning pipelines, with support for training, provisioning, and inference.
- Cloud-Native Design– Built on micro services and Kubernetes for scalable, multi-tenant deployments in public or private clouds.
- Secure Exposure via Standard APIs –Conforms to 3GPP service-based interfaces for data access and analytics subscription.
Supported Use Cases:
Our NWDAF implementation supports a broad set of high-value 3GPP use cases,including:
- Network Slice Load Level Analytics: Predictand manage load per slice to ensure SLA compliance.
- UE Mobility Pattern Detection: Identify trend sin user movement to optimize handovers and coverage.
- Abnormal Behavior Detection: Spot anomalies in device behavior or network function to trigger corrective actions.
- QoS Sustainability Analytics: Monitor service quality and proactively mitigate degradation.
- RAN User Experience Analytics: Assess performance from the end-user perspective for continuous optimization.
- UPF Selection Assistance: Recommend optimal UPF nodes based on traffic patterns and performance.
NWDAF empowers operators to unlock zero-touch automation, real-time optimization,and AI-driven orchestration for next-generation networks. Whether you're building a private 5G network, scaling public deployments, or enhancing operational intelligence, Courzad NWDAF delivers the insights that matter most.
Experience intelligent 5G analytics. Power your network with NWDAF.
