IWTu3: AI-assisted modeling of RF components for digital twins of wireless systems

Presentation Abstract
This workshop explores AI-assisted modeling techniques for RF components, enabling the creation of accurate digital twins and supporting a seamless digital thread across wireless system design. We cover advanced methods for characterizing beamformers, front-ends, and other RF devices through measurement and simulation, highlighting how AI differs from traditional IQ and VNA waveform-based modeling. System-level workflows are presented, integrating AI-driven behavioral models to predict performance across diverse conditions. Attendees will learn to validate digital twins with measurements, enhance simulation fidelity, and streamline design cycles, while assessing the advantages and limitations of AI versus conventional approaches.