Network Intelligence
Real-time visibility, AI-driven optimization, and autonomous control across your entire 5G network fabric — from core to edge.
Platform Overview
The Intelligent Network Fabric
OranSense Network Intelligence transforms passive 5G infrastructure into an active, self-optimising fabric. Continuous telemetry streams feed AI models that detect anomalies, predict congestion, and autonomously reconfigure network elements — all in real time.
From RAN to core, every layer is instrumented and observable. Operators gain a unified view of spectrum utilisation, traffic flows, and service quality across thousands of sites, with drill-down to individual cells and UEs.
Capabilities
Intelligent by Design
Real-Time Telemetry
Sub-second KPI streaming from every RAN element, core function, and edge node — ingested, normalised, and surfaced in a unified observability plane.
AI-Driven Optimisation
Closed-loop AI continuously tunes handover parameters, load balancing, and beam management to maximise throughput and minimise interference.
Anomaly Detection
ML models trained on network baselines flag degradation, intrusions, and configuration drift before they impact end-user experience.
Topology Awareness
Dynamic graph of every network element and its relationships — updated in real time as nodes join, leave, or change state.
SLA Assurance
Per-slice, per-tenant SLA monitoring with automated escalation and remediation workflows triggered the moment thresholds are breached.
Spectrum Intelligence
AI-powered spectrum sensing and dynamic allocation across licensed, shared, and unlicensed bands — maximising utilisation while avoiding interference.
Coverage
Full-Stack Visibility
RAN Layer
250K+ cells monitoredgNB, DU, CU, and RU telemetry with per-cell KPIs, interference maps, and beam analytics.
Transport Layer
40Gbps+ per linkFronthaul, midhaul, and backhaul latency, jitter, and packet-loss monitoring with path visualisation.
Core Layer
10M+ active sessions5GC function health, session counts, and slice utilisation across AMF, SMF, UPF, and PCF.
Edge Layer
<2ms inferenceMEC host resource utilisation, xApp performance, and inference latency at every edge node.
Use Cases
Network Intelligence in Action
Predictive Maintenance
Detect hardware degradation weeks before failure using AI models trained on historical fault patterns and real-time sensor data.
Dynamic Slice Management
Automatically expand or contract network slices in response to demand spikes — ensuring SLAs for critical services like emergency communications.
Energy Optimisation
Reduce RAN energy consumption by up to 30% through AI-driven sleep scheduling and power control without impacting coverage.
See Your Network in a New Light
Connect your 5G infrastructure to the OranSense Network Intelligence platform and unlock autonomous operations.
Request a Demo