Adaptive Cell Measurement for Wireless Terminals

The patent implements dynamic adjustment of measurement parameters (filtering coefficient, report time interval, threshold) based on real-time traffic conditions. The terminal device monitors traffic characteristics and dynamically modifies measurement parameters to match current traffic demands, transforming the static measurement process into an adaptive dynamic system that optimizes accuracy for varying traffic types.

The patent changes measurement parameters according to traffic conditions by introducing traffic type identification and corresponding parameter adjustment rules. Different traffic types (e.g., voice, data, emergency) trigger different parameter sets, allowing the system to optimize measurement accuracy for each traffic category while maintaining manageable complexity through standardized adjustment rules.

The patent applies local quality by tailoring measurement parameters to specific traffic types and terminal device conditions. Instead of using uniform parameters globally, the system selectively adjusts parameters (filtering coefficient, report interval, threshold) based on local traffic characteristics and device capabilities, optimizing measurement efficiency for each specific context while maintaining overall system manageability.

The patent incorporates feedback mechanisms where the terminal device monitors its own traffic conditions and measurement performance, then adjusts parameters accordingly. The network device also provides feedback through configuration messages, creating a closed-loop system that continuously optimizes measurement efficiency without requiring manual management of multiple parameter sets.

The patent dynamically adjusts the filtering coefficient (alpha parameter) based on traffic conditions and delay requirements. For delay-sensitive traffic, the system uses smaller filtering coefficients to reduce filtering time and improve responsiveness. For accuracy-critical scenarios, larger coefficients provide smoother measurements. This parameter adaptation resolves the contradiction by allowing optimal filtering time for each specific situation.

The patent makes the filtering time dynamic rather than fixed, allowing the system to adapt the sampling and filtering rate according to current traffic conditions and delay tolerances. This dynamic adjustment enables the system to achieve both short delay and adequate accuracy by optimizing the filtering process in real-time based on actual measurement needs.