Co-Existence and Beyond: How AutoRAN Enhances, Not Replaces, Your Existing Test Infrastructure
This whitepaper explores the evolving challenges of RAN testing in the era of 5G, Open RAN, and NTN. While traditional test environments using simulators and protocol analyzers remain important, they are no longer sufficient to capture real-world conditions, device-specific behaviours, and true Quality of Experience (QoE).
The paper introduces AutoRAN, an AI-powered RAN testing solution designed to complement existing tools rather than replace them. Key themes and sections include:
- The Changing RAN Landscape – How disaggregated architectures, device diversity, and advanced features like slicing and NTN create new validation challenges.
- Limitations of Traditional Testing – Why simulator-only setups fail to reflect real user experience, mobility scenarios, and device-specific issues.
- AutoRAN’s Role – How AutoRAN integrates real devices (smartphones, modems, NTN-enabled UEs) into automated workflows, uses AI for multi-layer log analysis, and provides MOS-based QoE scoring.
- Architecture & Capabilities – Highlights include real-device scale testing, Doppler/RF emulation, ORAN interoperability, and seamless CI/CD integration.
- The Hybrid Approach – Why the future of RAN testing lies in combining simulators (scale and conformance) with AutoRAN (realism and intelligence).
Testing must move beyond the lab; AutoRAN ensures networks are deployment-ready by catching what simulators miss, automating at scale, and delivering predictive insights.