AI RAN Test Software
Why AI RAN Test?
As enterprises adopt Private 5G with O-RAN (CU/DU/RU) disaggregation, the complexity of validating radio performance, handover reliability, and xApp/rApp behavior has exploded. Traditional testing methods — manual drive testing, static scripted suites — cannot keep up with dynamic, AI-optimized networks.
AI RAN Test Software solves this by combining:
- AI-Generated Test Scenarios — Automatically creates test plans based on your network topology, slice configuration, and historical fault patterns
- Real-Time Signal Benchmarking — Continuous RSRP, RSRQ, SINR, and CQI measurement across all gNodeBs with automated threshold evaluation
- xApp & rApp Validation — Tests Near-RT RIC xApps and Non-RT RIC rApps against expected behavior, including load balancing, handover optimization, and interference mitigation
- A3 Event Simulation — Simulates mobility events to validate handover triggers, Xn interface behavior, and AMF-assisted fallback paths
- FCAPS Integration — Every test result feeds directly into your Fault, Configuration, Accounting, Performance, and Security management pipeline
Key Capabilities
| Capability | Description | Benefit |
|---|---|---|
| Autonomous Test Generation | AI analyzes your O-RAN topology and generates test suites covering coverage, handover, slicing QoS, and core NF performance | 90% reduction in test planning time |
| Signal KPI Dashboard | Real-time RSRP, RSRQ, SINR, CQI heatmaps per gNodeB, per cell, per beam | Instant visibility into RF performance |
| Handover Stress Testing | Simulates 1000+ UEs moving between cells, measures intra-gNB, inter-gNB (Xn), and N2 fallback success rates | Validates SLA before go-live |
| Slice Conformance | Validates SST/SD/5QI enforcement, GBR vs Non-GBR bearer behavior, and cross-slice isolation | Proves multi-tenant isolation |
| xApp/rApp Test Harness | Inject scenarios into Near-RT RIC and Non-RT RIC, validate xApp decisions against expected outcomes | De-risks RIC deployments |
| Regression & CI/CD | Integrates with Jenkins, GitLab CI, GitHub Actions for automated RAN regression on every software update | Continuous quality assurance |
Architecture
AI RAN Test Software operates as a cloud-native application deployed alongside your Private 5G infrastructure:
- Test Controller — Orchestrates test execution across distributed gNodeBs and Core NFs
- AI Engine — ML models trained on 3GPP conformance datasets + real-world enterprise RAN telemetry
- Signal Probe Agents — Lightweight agents deployed at RU/DU level for real-time KPI collection
- Report Generator — Automated PDF/HTML reports with pass/fail verdicts, trend analysis, and remediation recommendations