Cell Measurement Prediction for Faster Handover Reporting
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Solution Overview
Problem
Existing handover procedures in communication systems face issues due to improper parameter configuration in measurement events, leading to handover exceptions, as the parameters do not adapt to current channel conditions.
Innovation Solution
Implement measurement reporting evaluation based on predicted values of measurement quantities using a prediction model, allowing terminals to accelerate the reporting process and reduce handover exceptions.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If measurement reporting is performed based on actual measurement at configured time points, then measurement accuracy is ensured, but measurement reporting delay increases
Solution Approach 1:
The patent applies preliminary action by predicting measurement quantities at future time points before actual measurements are taken. The prediction model uses historical measurement data to generate predicted values in advance, allowing the terminal to prepare measurement reports proactively. This reduces waiting time for actual measurements while maintaining accuracy through validation against actual measurements when they become available.
2Ease of manufacture
If measurement event parameters are configured based on experience, then configuration simplicity is maintained, but handover reliability deteriorates
Solution Approach 1:
The patent implements dynamics by making measurement event parameters adaptive rather than static. The network device adjusts parameters like threshold offsets and hysteresis values dynamically based on real-time channel conditions and historical data. This allows the system to maintain simple configuration procedures while achieving reliable handovers through continuous parameter optimization based on actual network behavior.
Solution Approach 2:
The system employs feedback mechanisms where measurement results and handover outcomes are fed back to the network device, which then refines measurement event parameters. This closed-loop approach maintains configuration simplicity from the terminal's perspective while improving handover reliability through iterative parameter optimization based on actual performance data.
3Reliability
If measurement reporting is performed frequently to reduce handover exceptions, then handover reliability improves, but signaling overhead increases
Solution Approach 1:
The terminal performs self-service by autonomously generating predicted measurement values using local prediction models. This eliminates the need for frequent network-requested measurements and reduces signaling overhead. The terminal independently maintains accurate measurement information through its own processing capabilities, reducing the burden on network resources while ensuring reliable handover decisions.
Data Source
AI summary
This application relates to the field of communication technologies, and discloses a communication method, apparatus, and system. The method includes: A terminal determines predicted values of first-type measurement quantities of a plurality of cells at at least one time point in a first time period, where the plurality of cells include a serving cell and a candidate cell; and if the predicted values of the first-type measurement quantities of the plurality of cells at the at least one time point satisfy a reporting condition, sends measurement report information to a network device.