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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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