AI-Enhanced Handover Prediction

Technical Explanation

Dense urban mmWave networks feature severe street corner signal drops where standard RSRP measurement reporting triggers handovers too late. Rel-18 AI handover prediction integrates spatial trajectory tracking, historical handover statistics, and beam quality time-series to execute target cell handovers seamlessly before the serving link fails.

Key Functions

• Predicts optimal target cells based on spatial trajectory and speed vector
• Reduces Handover Interruption Time (HIT) to virtually zero milliseconds
• Eliminates wasteful ping-pong handovers between overlapping microcells
• Prevents sudden radio link drops around street intersections in mmWave deployments