VIAVI TeraVM AI RAN Scenario Generator

VIAVI Solutions has introduced the TeraVM AI RAN Scenario Generator (AI RSG), the evolution of the company’s RAN Intelligent Controller (RIC) Test platform. Maintaining all of the features of RIC Test, the product enhances the simulated system-level RAN behaviour, creating a RAN digital twin that replicates real-world conditions in the lab.

The RIC uses artificial intelligence and machine learning (AI/ML) to autonomously manage radio resources with the aid of network data and native or third-party applications. Applications can be developed for specific industry verticals to tailor network functionality for more targeted use cases. The complexity of a multi-vendor open network is compounded by the presence of apps from different developers, making seamless performance a challenge.

AI RSG harnesses data obtained through Open RAN interfaces to train the RIC and r/xApps to generate quality-of-service improvements, industry-specific features and functionality, energy efficiencies and other value for network operators. It can simulate up to 10,000 user equipment (UEs) and several thousand cells (between 1000 and 5000) per reference server. It can be deployed in Docker containers within cloud environments or on dedicated servers. The scale depends on the specific use case, with the ability to generate data at various granularities, from one minute to daily intervals. The scalability matrix helps define parameters for different scenarios.

Users can import real-world maps with streets, buildings and network configurations to create UE profiles that simulate movements, handovers and resource requests; train AI and ML apps through exposure to RAN scenarios with real traffic; and test the effectiveness of app decisions in realistic network environments.