Wireless Measurement Prediction Feedback for Reliable Handovers
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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 predictive and actual measurement results, causing handover failures.
Innovation Solution
A wireless device derives predictive measurement results and transmits information about the difference between predictive and actual measurements to the network, allowing the network to adjust AI/ML configurations for improved accuracy and reliability.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of time
If predictive measurement results are used for handover decisions in high-frequency bands, then handover timing can be optimized, but the reliability of handover decisions deteriorates due to large gaps between predictive and actual measurements
Solution Approach 1:
The patent implements a feedback mechanism where the UE reports the difference between predictive and actual measurement results to the network. This feedback loop allows the network to assess prediction accuracy and adjust AI/ML configurations accordingly, resolving the contradiction by using feedback to improve reliability while maintaining predictive timing advantages.
Solution Approach 2:
The patent enables dynamic adjustment of AI/ML configuration parameters based on reported prediction accuracy. When prediction errors are detected, the network can modify model parameters, thresholds, or configuration settings to optimize the balance between predictive timing and decision reliability for handover operations.
2Reliability
If AI/ML models are used for measurement prediction, then mobility performance can be improved, but the complexity of the system increases due to AI/ML configuration management
Solution Approach 1:
The patent implements a self-service mechanism where the UE autonomously calculates and reports prediction accuracy metrics to the network. This self-measurement capability reduces the need for complex network-side monitoring and configuration management, allowing the system to maintain improved mobility performance while reducing overall system complexity through distributed intelligence.
3Reliability
If predictive measurement reports are transmitted frequently, then the network can make better mobility decisions, but the signaling overhead increases
Solution Approach 1:
The patent extracts only the essential information needed for mobility optimization by having the UE report specifically the difference between predictive and actual measurements rather than complete measurement datasets. This selective information extraction maintains mobility decision accuracy while significantly reducing signaling overhead by transmitting only the critical deviation metrics.
Data Source
AI summary
A method and apparatus for handling measurement prediction in a wireless communication system is provided. A wireless device derives, at a first time point, a predictive measurement result for a measurement object for a second time point. A wireless device transmits, to the network, information about the predictive measurement result. A wireless device acquire a present measurement result by performing measurement on the measurement object at the second time point. Based on difference between the predictive measurement result and the present measurement result, a wireless device transmits information about the difference to the network.