Webinar Overview

In this webinar, Rohde & Schwarz technology expert Andreas Roessler explores the advancements in machine learning (ML)-based channel state information (CSI) feedback enhancement, a critical pilot use case in 3GPP Releases 18 and 19. ML-based CSI is aimed at defining an AI/ML framework for 5G Advanced. He examines AI-driven techniques for CSI compression and prediction, emphasizing their impact on improving spectral efficiency and reducing feedback overhead. Participants will gain a thorough understanding of how ML is transforming the air interface and building the foundation for future 6G networks.

You will learn about:

• AI/ML-assisted air interface pilot use cases in 3GPP Releases 18 and 19, with a focus on CSI feedback enhancement.
• Fundamentals of CSI-RS configuration and parameterization in 5G NR and its integration into ML-advanced feedback frameworks.
• Advantages of ML-based CSI feedback in addressing challenges in dense and dynamic network environments.
• The role of test and measurement instruments in validating ML-based CSI feedback enhancement functionality and assessing its performance.