Building Scalable Level 4 Autonomous Networks
Level 4 networks sense, decide, and act across RAN, Edge, Core, Transport, and Infrastructure with minimal human intervention. Getting there is a data problem first, an automation problem second — the reference framework below names the structural components a wireless operator needs so every intent and every anomaly can close the loop in near-real time.
Human-driven operations, planning, and maintenance across every domain.
Tools accelerate specific tasks; humans still own every decision and action.
Automation executes repeatable workflows under continuous human supervision.
CurrentSystem senses, decides, and acts within well-defined scenarios; humans oversee exceptions.
Self-configuring, self-healing, intent-driven across most domains; minimal human intervention.
TargetClosed-loop across every domain, every scenario, every lifecycle stage.
Unified Data Fabric
Normalized telemetry, inventory, catalog, and topology — one source of truth that every analytics, AI, and orchestration loop can trust.
Data Mgmt · Inventory · ETLEvent-Driven Backbone
Streaming event bus with schema governance so every alarm, KPI deviation, and ticket is observable in real time and can trigger a closed loop.
Event Bus · Streaming · Pub/SubAI & ML Decisioning
Non-real-time learning plus near-real-time inference — NWDAF, rApps/xApps, and applications co-located with the data that feeds them.
NWDAF · rApp/xApp · ApplicationsClosed-Loop Orchestration
Custom and packaged orchestrators translate intent into element-level change via SON, SMO, and NEMs — across every domain, every vendor.
SON · SMO · Orchestrators · NEMOperational Readiness
Ticketing, deployment, log and event monitoring wired back to the same bus — humans stay in the loop only where judgment is required.
Ticketing · Deploy · Assurance