Drone Handover Optimization Using Trajectory Data

The patent applies preliminary action by having the drone measure and report trajectory information to the serving eNB before handover is actually needed. The eNB uses this advance information to predict future signal quality conditions and proactively prepare handover decisions, preventing frequent handovers before they occur. The drone also performs measurements on neighboring eNBs in advance and reports them when signal quality degrades below thresholds, allowing the network to prepare appropriate handover targets before connectivity is lost.

The patent implements feedback mechanisms where the drone continuously measures signal quality from serving and neighboring eNBs and reports these measurements back to the network. The eNB uses this feedback along with trajectory information to dynamically adjust handover decisions. The system also provides feedback by sending handover commands to the drone based on the measured conditions, creating a closed-loop control system that optimizes handover timing and reduces unnecessary handovers.

The patent extracts only the essential trajectory information needed for handover optimization from the complete drone flight data. Specifically, it extracts position coordinates, velocity vectors, and predicted future positions that are most relevant for predicting signal quality and handover timing. This selective extraction reduces the amount of data that needs to be transmitted and processed while still providing sufficient information for efficient handover decisions.

The drone performs preliminary calculation of trajectory information and prepares it in a standardized format before transmission to the eNB. The eNB also performs preliminary processing of this information to extract key parameters for handover prediction. This preliminary preparation reduces the computational burden during actual handover execution and simplifies real-time decision-making processes.