Dynamic Sidelink Positioning Parameter Configuration

The patent applies dynamics by transitioning from static to dynamic measurement configurations. The system automatically adjusts measurement parameters (such as measurement gap patterns, reference signal processing windows, and reporting intervals) based on real-time mobility conditions detected through trigger conditions. This enables the measurement configuration to adapt to changing scenarios like high-speed movement or stationary states, thereby maintaining positioning accuracy without requiring overly complex manual configuration.

The patent implements parameter changes by modifying specific measurement parameters based on trigger conditions. When mobility is detected or signal strength thresholds are crossed, the system changes parameters such as the measurement gap repetition period, processing window duration, or reporting frequency. This dynamic parameter adjustment allows the system to optimize positioning accuracy for different mobility scenarios while managing device complexity through automated, condition-based changes rather than complex continuous adjustment mechanisms.

The patent applies local quality by tailoring measurement parameters specifically to local conditions and trigger conditions. Instead of uniformly increasing measurement frequency everywhere, the system adjusts parameters locally based on detected scenarios - for example, using longer processing windows and more frequent measurements only when high mobility is detected, while maintaining minimal overhead in stationary conditions. This localized adaptation improves accuracy where needed without unnecessarily increasing overall measurement overhead.

The patent implements periodic action through trigger-condition-based measurement cycles. The system performs measurements periodically but adjusts the period length based on mobility conditions - using shorter periods when mobility is detected and longer periods when the device is stationary. This dynamic periodic action ensures positioning accuracy is maintained during high-speed scenarios while significantly reducing measurement overhead during low-mobility periods, balancing accuracy and energy consumption effectively.

The patent applies preliminary action by pre-configuring multiple measurement configurations corresponding to different trigger conditions before actual positioning occurs. The system prepares multiple sets of measurement parameters (such as different processing window lengths or gap patterns) in advance and selects the appropriate pre-configured set based on detected trigger conditions. This eliminates the need for real-time configuration calculations, thereby reducing latency while maintaining optimization for high-speed scenarios.

The patent implements dynamics by enabling real-time selection and switching between pre-configured measurement parameters based on detected mobility conditions. When high-speed scenarios are detected, the system dynamically switches to measurement configurations optimized for speed (such as shorter processing windows), while using more time-consuming configurations for stationary conditions. This dynamic switching mechanism maintains positioning accuracy across diverse scenarios without introducing significant latency, as the heavy computation is performed offline during configuration preparation rather than during real-time positioning.