The evolution of telecom networks has brought unprecedented challenges in testing and validation. Radio Access Network (RAN) testing, particularly for integrated RAN, virtualized RAN (vRAN), Open RAN (ORAN), and Non-Terrestrial Networks (NTN), is inherently complex due to the dynamic nature of wireless environments, the need for multi-technology support (4G, 5G, and NTN), and the increasing reliance on software-driven architectures.
Traditional testing tools often rely on simulation rather than real-world testing, limiting their effectiveness in real-world deployments. Additionally, the vast number of test scenarios, compliance checks, and performance evaluations add layers of complexity that manual testing approaches struggle to handle efficiently.
Why AI-Driven Testing?
Artificial Intelligence (AI) has emerged as a transformative force in the telecommunications sector, offering solutions to the inherent complexities of RAN testing:
- Intelligent Test Case Generation: AI can dynamically create test cases based on real-world network conditions, ensuring comprehensive validation.
- MOS Scoring for QoE Evaluation: AI-powered Mean Opinion Score (MOS) assessments provide objective quality-of-experience (QoE) measurements.
- Smart Log Analysis: AI can detect anomalies, identify performance trends, and correlate cross-domain data for proactive issue resolution.
- Automation for Faster Validation: AI significantly reduces manual effort and minimizes human error, leading to faster time-to-market for new network solutions.
- Predictive Network Performance Optimization: AI-driven analytics can proactively adjust network parameters to improve throughput, latency, and coverage.
- Self-Healing Networks: AI algorithms can detect and automatically rectify network issues, reducing downtime and enhancing overall reliability.
AutoRAN: Redefining RAN Testing with AI & Real-Device Validation
Amantya Technologies’ AutoRAN is an AI-driven RAN testing framework that overcomes traditional testing limitations by combining automation with real-device testing. Unlike simulation-based approaches, AutoRAN leverages Android and iOS handsets, modems, attenuators, and 3GPP-compliant network emulators to deliver accurate and comprehensive real-world validation.
Another key differentiator is its extensive library of pre-built test cases covering real-world scenarios, enabling faster validation, regulatory compliance, and reduced manual effort. Its AI-powered capabilities enhance efficiency through intelligent test case generation, MOS scoring for QoE evaluation, and smart log analysis for anomaly detection and performance optimization. By streamlining both functional and non-functional testing, Autoran helps service providers, OEMs, and test labs accelerate test cycles, minimize defect leakage, and achieve faster time-to-market. Additionally, its support for technologies like NTN enables seamless validation of non-terrestrial networks.
How AutoRAN Stands Out?
Standards & Compatibility
- 3GPP-Compliant: Complies with 3GPP standards.
- Multi-RAT Support: Seamlessly handles 4G, 5G, ORAN, vRAN, NTN*, NB-IoT, and CAT-M technologies.
- Real Devices: Uses real Android/iOS handsets, modems & NTN-enabled NB-IoT devices to replicate real-world testing environments.
- Extensive Test Library: Offers an extensive library of standards-based test cases.
Comprehensive Testing
- End-to-End Testing with Emulation Catalog: Includes 5GC, EPC, IMS emulators & TCP/UDP data generators to simulate full network behavior.
- Complex Scenario Testing: Supports inter/intra RAT mobility, MIMO, Carrier Aggregation, Network Slicing, and more.
- Digital Attenuation: Features software-controlled attenuator for precise signal management.
- ORAN Node Validation: Roadmapped support for ORAN-based node and interface testing.
- Parallel Execution: Efficiently executes multiple test cases in parallel for faster turnaround.
- QoS & SLA Testing: Analyzes Ethernet PDU for low-latency, high-reliability network validation, ensuring SLA compliance.
Automation & Customization
- Automation Framework: Orchestrates test cases, components, execution, and result analysis for efficient testing cycles.
- Customizable Testing: Enables the creation of bespoke test packages tailored to client-specific requirements.
Scalability & Integration
- Scalable: Adaptable to client-specific needs.
- RESTful API Integration: Offers API-driven pre-test configuration for seamless integration into CI/CD pipelines and lab environments.
- Third-Party Tools Compatibility: Integrates with external like POLQA for objective MOS scoring.
AI-Driven Analytics & Logging
- Comprehensive Logging: Generates PCAP-based logs at both UE and Device Under Test (DUT) levels.
- AI-enabled MOS Scoring: Uses AI algorithms to deliver accurate Mean Opinion Score (MOS) evaluations of voice quality for accurate QoE evaluation.
- Smart Log Analysis: Leverages AI/ML to detect anomalies, correlate logs across domains, and optimize performance in real-time.
Non-Terrestrial Network (NTN) Testing Support
- Device-Level Compatibility: Supports testing with NTN-enabled handsets and modems.
- NTN Message Decoding: Accurately decodes NTN-specific signaling flows to validate satellite and hybrid communications.
Ready to Accelerate Innovation with AutoRAN?
By streamlining both functional and non-functional testing, AutoRAN helps network service providers, OEMs, test labs, and satellite service providers:
- Reduce test cycle durations
- Minimize defect leakage
- Ensure seamless 4G-5G interworking
- Validate NTN-based communication with greater accuracy
- Achieve faster go-to-market timelines
As telecom networks continue evolving, the need for AI-driven testing frameworks like AutoRAN will only grow. With its robust automation, real-device validation, and AI-powered analytics, AutoRAN is paving the way for smarter, faster, and more efficient RAN testing – ensuring seamless connectivity and superior user experiences in next-generation networks.
