UT Austin Uses Keysight 6G Solutions to Advance Research in Digital Twins

Digital twins can help address that need by creating virtual near-replicas of physical networks. For these models to be useful in 6G research, they must reflect changing radio conditions, capture data from multiple sources, and support repeatable analysis before researchers move a design or algorithm into a physical test environment.

Keysight and UT Austin are enabling a 6G digital twin research environment that brings together data, modeling, emulation, field measurements, and analytics. The solution supports research workflows that import ray-tracing models, telecommunications configurations, open-source datasets, lab measurements, and live telemetry into network models.

UT Austin’s 6G@UT lab gains a digital twin research capability for studying next-generation wireless and autonomous systems. The environment is designed to support advanced research into beamforming, adaptive connectivity, non-terrestrial networks, vehicular networks, smart cities, and factory communications.

The research workflow enables digital twins to be calibrated and validated with real-time measurements. That capability supports more reliable analysis by connecting simulation and modeling with data from the lab, field, and live network environments.

UT Austin’s work with Keysight helps connect simulation-driven design with practical measurement and emulation. By combining propagation modeling, channel emulation, field measurements, and analytics, the 6G@UT lab can investigate how future networks may support intelligent, interconnected systems.

The collaboration gives researchers a flexible foundation for studying AI-native wireless networks, non-terrestrial communications, vehicular systems, smart cities, and factory environments. It also supports a broader industry need: finding faster, lower-risk ways to evaluate technologies that will shape future wireless networks.