Communication Threshold Tuning Using KPI-Marked Decision Trees
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Solution Overview
Problem
Existing communication systems face challenges in setting optimal thresholds for configuration parameters due to high complexity, making it difficult to manually calibrate them according to real-time conditions, and current methods often rely on fixed values or human experience, which are not environment-specific.
Innovation Solution
A method for optimizing thresholds in communication systems by collecting real-time data of observation variables, marking them based on Key Performance Indicators (KPIs), and adjusting judgment thresholds using decision tree models to adapt to changing conditions.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If fixed threshold values are set according to human experience, then the system is easy to operate, but the system cannot adapt to different environments and loses measurement precision
Solution Approach 1:
The system performs self-optimization of thresholds through automated collection and analysis of operation logs. The optimization module automatically adjusts thresholds based on historical data without requiring manual intervention, making the system both easy to operate and precisely adapted to specific environments.
Solution Approach 2:
The patent changes the parameter values of thresholds dynamically based on collected operation data. By analyzing historical logs and identifying optimal threshold values through statistical methods, the system adapts parameters to match specific environmental conditions while maintaining ease of operation.
2Adaptability or versatility
If manual calibration of thresholds is performed according to actual situation, then the system gains adaptability, but the operation complexity and time consumption increase significantly
Solution Approach 1:
The system performs preliminary data collection during normal operation, accumulating operation logs that will be used for future threshold optimization. This preliminary action prepares the system for rapid adaptation without requiring time-consuming manual calibration when environmental changes occur.
Solution Approach 2:
The system establishes a feedback loop where operation logs are continuously collected, analyzed, and used to adjust thresholds. This automated feedback mechanism enables the system to adapt to different environments quickly without manual intervention, reducing the time loss associated with threshold calibration.
3Measurement precision
If comprehensive data collection is performed to optimize thresholds, then the system gains measurement precision, but the device complexity increases
Solution Approach 1:
The patent extracts only the necessary features from comprehensive operation logs that are relevant for threshold optimization. By selecting and analyzing only the critical parameters and patterns needed for threshold determination, the system achieves high measurement precision without requiring complex processing of all possible data.
Data Source
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AI summary
A threshold optimization method for a communication system is provided. The method includes the following. In response to a start of a collection phase, following operations are performed at a preset time interval. A real-time value of each of multiple observation variables of the communication system are collected to obtain a set of collection data. When the real-time value of each of the multiple observation variables falls within a corresponding valid range, the communication system is controlled to perform a preset operation and a value of a key performance indicator of performing the preset operation by the communication system is acquired. The set of collection data is marked according to the value of the KPI. In response to an end of the collection phase, a judgment threshold configured for each of at least one of the multiple observation variables is adjusted according to marked collection data obtained in the collection phase. Embodiments of the disclosure further provide a threshold optimization device for a communication system and a computer-readable medium.