Revolutionizing 6G Research Using AI-Driven Design
- Courses
- 8 items
Dive deeper into 6G air interface research with Keysight engineers. This course guides you through current research into key machine learning techniques, including a reinforcement learning approach to optimizing network resources, a deep learning approach for channel estimation and prediction, and using generative adversarial networks to synthesize realistic wireless channel data. These concepts are illustrated with Keysight’s System Design 6G workspaces that you can apply in your designs today.
Learn:
- How researchers can model the behavior of various components and systems, analyze performance metrics, and optimize designs for better functionality and cost-effectiveness
- How EDA software has been used for studying 6G technologies from the physical layer perspective
- How to use the Keysight RF System Design simulation platform (W4812B) with CSI feedback and Channel Estimation, essential for 6G PHY layer Channel Research
This course is ideal for 6G System designers and researchers and anyone looking to gain a deeper understanding of AI and machine learning applied to early research of 6G systems.
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