Wireless Measurement Prediction Feedback for Accurate Handover Decisions
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Solution Overview
Problem
In wireless communication systems, particularly in high-frequency bands like THz, frequent handovers can lead to erroneous mobility decisions due to large gaps between actual and predicted measurements, causing handover failures.
Innovation Solution
A wireless device derives and transmits predictive measurement reports to the network, allowing the network to assess prediction accuracy and adjust AI/ML configurations, such as models and parameters, to improve reliability.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of time
If predictive measurement reports are transmitted to improve mobility performance, then handover decisions can be made earlier, but the gap between actual and predicted measurements increases causing erroneous decisions
Solution Approach 1:
The patent implements a feedback mechanism where the UE reports prediction accuracy information (actual measurement values, predicted measurement values, and difference values) to the network. The network uses this feedback to assess prediction reliability and dynamically adjust AI/ML configuration parameters, model complexity, or prediction time advances to optimize the balance between early handover decisions and decision accuracy.
2Measurement precision
If AI/ML models with higher accuracy are used for measurement prediction, then prediction precision improves, but device complexity and processing requirements increase
Solution Approach 1:
The patent enables dynamic adjustment of AI/ML model characteristics based on network conditions and prediction accuracy requirements. The network can re-configure model parameters, complexity level, or select different models based on feedback about actual prediction performance, allowing the system to adapt between higher accuracy and lower complexity as needed.
3Duration of action of moving object
If measurement prediction is performed for future time points, then handover preparation time increases, but the uncertainty in prediction increases leading to wrong cell selection
Solution Approach 1:
The patent allows dynamic adjustment of prediction time advance parameters based on assessed prediction reliability. When prediction accuracy is high, the network can configure longer prediction time advances for earlier handover preparation. When reliability decreases, the prediction time advance is reduced to maintain cell selection accuracy, thus optimizing the balance between preparation time and selection accuracy.
Data Source
AI summary
A method and apparatus for measurement prediction in a wireless communication system is provided. A wireless device receives, from a network, a measurement configuration including a measurement object. A wireless device derives a first prediction for the measurement object. A wireless device transmits information about the first prediction to the network. A wireless device derive a second prediction for the measurement object. Based on difference between the first prediction and the second prediction, a wireless device transmits information related to the difference to the network.