Artificial intelligence / machine learning based random access procedure
By employing an AI/ML-based random access process and utilizing dedicated PRACH resources and reference signals for beam prediction, the problems of limited coverage and insufficient signal-to-noise ratio in high-frequency band communication are solved, achieving more efficient communication performance.
Patent Information
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- INTEL CORP
- Filing Date
- 2025-12-01
- Publication Date
- 2026-07-17
AI Technical Summary
Existing random access procedures suffer from limited coverage and insufficient signal-to-noise ratio in high-frequency band communications, especially when using beamforming technology, making it difficult to effectively improve the performance of communication systems.
By employing a random access procedure based on artificial intelligence/machine learning, and configuring dedicated PRACH resources and reference signals, the AI/ML model is used for beam prediction and optimization to improve the communication efficiency between the UE and the base station.
It improves the coverage and signal-to-noise ratio of high-frequency band communication, enhances the performance of random access procedures, and enables more precise beam selection and transmission, especially when using narrow beams, thereby improving the overall efficiency of the communication system.
Smart Images
Figure CN122421079A_ABST