Keysight’s AI RAN development, optimization and validation solution that allows the generation of realistic, high-scale and high-fidelity network models and datasets for AI model training, testing, and benchmarking of complex RAN scenarios.
Simulate O-RUs, O-DUs, O-CUs, and the 5G Core with protocol-conformant behavior across fronthaul and midhaul interfaces to validate network interoperability and integration.
Create thousands of concurrent voice, data, and signaling sessions with support for mobility, quality of experience (QoE) modeling, and protocol stack behaviors to stress the RAN under real-world conditions.
Record and play back live fronthaul traffic using Open RAN Studio to verify time-sensitive behavior, identify regressions, and debug interface-level performance issues with high fidelity.
Run automated conformance tests for open fronthaul, F1, E2, and other ORAN interfaces to ensure standards adherence, vendor interoperability, and test repeatability.
| Sub system simulated | O-Gnb, O-RU, O-DU, O-CU, RIC, Core Network, RF air interface |
| Test types | O-DU southbound, O-DU+O-CU southbound, O-CU southbound, O-DU northbound, Near RT RIC/xApps, Non-RT More… |
| Interfaces supported | OFH, F1, E2, A1, O1, Backhaul, RF air interface |
Keysight’s AI RAN development, optimization and validation solution that allows the generation of realistic, high-scale and high-fidelity network models and datasets for AI model training, testing, and benchmarking of complex RAN scenarios.
Keysight’s AI RAN development, optimization and validation solution that allows the generation of realistic, high-scale and high-fidelity network models and datasets for AI model training, testing, and benchmarking of complex RAN scenarios.
Wireless networks are rapidly evolving from static, hardware-driven architectures toward intelligent, software-defined systems capable of self-optimization. As modern networks introduce massive connectivity, diverse service requirements, and complex radio environments, traditional rule-based management becomes insufficient. This has driven the shift toward AI-native network architectures, where data-driven intelligence is embedded throughout the network stack, paving the way for AI Radio Access Networks (AI RAN), the next generation of radio access networks that leverage AI to enhance efficiency, adaptability, and performance.
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Ensure your test system performs to specification and meets local and global standards.
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The EDU34450A is a bench DMM with dual-display 5.5-digit-resolution digital multimeter with up to 110 readings/s measuring rate for speed-critical tests.
The EDU190A is an anodized metal frame that enables one EDU series instrument to stack on each other. It can be securely attached to the wall or lab bench.
The Keysight DM34460A series 6.5-digit dual-display digital multimeter uses Truevolt technology to perform accurate hardware design validation and debugging.
The Keysight DM34461A 6.5-digit dual-display digital multimeter uses Truevolt technology to perform accurate hardware design validation and debugging.
