Calibrating MRO Function to Reduce Handover Failure Ratio
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Solution Overview
Problem
The existing mobility robustness optimization (MRO) function in LTE networks faces deviations due to initial configuration errors and variations in radio channel and network deployment, leading to potential handover performance deterioration or increased failure ratios, especially in heterogeneous networks.
Innovation Solution
A method and apparatus for calibrating the MRO function by detecting and compensating mobile robustness optimization deviations by comparing the fluctuation center of an offset parameter with the value that minimizes handover failure ratio, adjusting timing thresholds for user equipment context, and notifying base stations to correct parameter settings.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If the MRO function adjusts handover parameters based on real-time statistics in limited-length evaluation periods, then the handover parameter can be updated in real-time to adapt to radio channel and network deployment variations, but the counts of monitored events may fluctuate due to the limited evaluation period length, causing offset parameter fluctuation and potential deviation from optimal values
Solution Approach 1:
The patent applies preliminary action by performing calibration of the MRO function before normal operation. The calibration process pre-determines the relationship between offset parameters and handover failure ratios, storing this calibration data for later use. This preliminary calibration eliminates the need for long evaluation periods during normal operation, as the pre-established calibration data provides accurate measurements immediately, resolving the contradiction between real-time adaptability and measurement precision.
2Measurement precision
If the evaluation period length is extended to reduce event count fluctuations and improve measurement accuracy, then the handover failure ratio measurement becomes more precise, but the response time to adapt to changing radio channel and network conditions increases
Solution Approach 1:
The calibration process performs the time-consuming measurement and analysis work in advance, establishing accurate relationships between offset parameters and handover failure ratios before normal operation begins. During normal operation, the system simply queries the pre-calibrated data, achieving both high measurement precision and fast response time without needing long evaluation periods.
Solution Approach 2:
The patent implements dynamics by making the system adaptable through calibration that can be performed at different times and conditions. The calibration data structure allows the system to dynamically adjust to changing network conditions by updating calibration parameters without requiring extended evaluation periods, thus maintaining both precision and responsiveness.
3Device complexity
If initial parameter configuration is simplified to reduce device complexity, then the MRO function can be easier to implement, but configuration errors and outdated parameters lead to MRO deviation and handover performance deterioration
Solution Approach 1:
The patent applies self-service by enabling the MRO function to automatically calibrate itself without requiring manual configuration intervention. The calibration process autonomously analyzes handover data, determines optimal parameters, and updates the configuration automatically. This eliminates the need for complex manual configuration while ensuring high reliability through self-optimization, resolving the contradiction between simplicity and reliability.
Solution Approach 2:
The calibration mechanism implements feedback by continuously monitoring handover performance metrics and using this information to automatically adjust and optimize parameters. The system feeds back calibration results to update the MRO function configuration, ensuring reliability without requiring complex manual setup or intervention.
Data Source
AI summary
One of the embodiments of the present invention relates to a method for calibrating mobile robustness optimization function for inter-cell handover. The method comprises detecting mobile robustness optimization deviation; calibrating said mobile robustness optimization function by—compensating the detected mobile robustness optimization deviation. The embodiments of the present invention further provide corresponding apparatuses and base stations.