Mobility Pattern-Based Cell Change Control for Wireless Networks
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Solution Overview
Problem
User equipment (UE) experiences recurrent mobility patterns due to unsuitable network parameters or unstable cell signal quality, leading to increased power consumption and performance degradation, with existing technologies lacking a specific solution to prevent intensive cell changes.
Innovation Solution
A mobility pattern-based cell change control method and system that collects network signal quality information, predicts area types using machine learning algorithms, restricts mobility in intensive cell change states, and switches the user device to significantly better cells or maintains the current serving cell.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If statistical significance detection is used to detect intensive cell changes, then detection accuracy is improved, but detection time and convergence time increase significantly
Solution Approach 1:
The patent applies preliminary action by pre-defining mobility patterns and area types based on historical signal quality data before actual cell change detection. The system pre-establishes what constitutes intensive cell change scenarios, allowing for rapid matching and detection without requiring lengthy statistical analysis during real-time operation.
Solution Approach 2:
The patent implements dynamics by adaptively adjusting mobility restriction parameters based on the predicted area type. The system dynamically modifies cell change control settings according to the detected mobility pattern, enabling faster response to changing conditions while maintaining detection accuracy.
2Measurement precision
If rule-based comparison of signal quality values across multiple samples is used, then detection accuracy is improved, but computational complexity increases excessively
Solution Approach 1:
The patent applies parameter changes by transforming the detection approach from comparing raw signal quality values across multiple samples to evaluating pre-defined mobility patterns. This changes the parameters from individual signal measurements to aggregated mobility behavior metrics, reducing computational complexity while preserving detection accuracy.
Solution Approach 2:
The patent extracts the essential characteristics of intensive cell change scenarios into predefined mobility patterns and area types. By separating the detection logic into distinct pattern definitions and extraction the core behavioral indicators, the system reduces computational complexity while maintaining accurate detection capability.
3Speed
If loose parameters are configured for measurement reports or cell reselection, then cell change responsiveness is improved, but recurrent mobility patterns increase
Solution Approach 1:
The patent implements feedback by continuously monitoring mobility patterns and using the predictions to adjust cell change control decisions. The system feeds back the detected mobility pattern information to modify subsequent cell reselection and handover behaviors, preventing recurrent mobility while maintaining appropriate responsiveness to legitimate signal changes.
Solution Approach 2:
The patent applies preliminary anti-action by proactively restricting mobility in predicted intensive cell change areas before recurrent patterns can develop. The system preemptively controls cell changes in areas where mobility patterns indicate potential instability, preventing the harmful recurrent behavior before it occurs.
Data Source
AI summary
A mobility pattern-based cell change control method includes collecting network signal quality information of at least one historic time series, predicting an area type of a user device according to the network signal quality information of the at least one historic time series, restricting mobility of the user device when the area type of the user device is predicted to be in an intensive cell change state, and switching the mobility of the user device from a current serving cell to at least one significantly better cell or forcing the user device to remain on the current serving cell after the mobility of the user device has been restricted.