5G • Services
AI/ML Air Interface
Rel-18 AI/ML in the Physical Layer
Standardized framework using deep neural networks to optimize CSI compression, beam management, and positioning.
Technical Explanation
3GPP Release 18 standardizes AI/ML integration into physical layer protocols. Neural networks running on the UE and gNodeB replace traditional algorithms: autoencoders compress CSI feedback matrices with 90% overhead reduction, while deep learning predicts beam blockage in mmWave.
Key Functions
- Standardized integration of deep learning models into 5G physical layers
- Employs autoencoder neural networks to compress CSI feedback by up to 90%
- Predicts dynamic beam blockage in millimeter wave channels in real time
Specifications
3GPP TR 38.843
Interfaces
Uu
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