Feeder Misconnection Diagnosis via Interference Analysis
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Solution Overview
Problem
In mobile communication systems, feeder misconnections can occur, leading to irregular coverage areas and network issues like call drops and switchover problems, making it difficult to diagnose specific types of feeder misconnections.
Innovation Solution
A method and apparatus that analyze interference patterns and switch times between sectors to determine if a feeder misconnection exists by comparing interference and switch data from measurement reports, using processors to identify sectors with excessive interference or switch activity, and determining misconnections based on preset thresholds.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If traditional manual diagnosis methods are used for feeder misconnection, then the diagnosis process can be performed with simple equipment, but the diagnosis accuracy is low and the process is time-consuming
Solution Approach 1:
The patent implements automatic feedback mechanisms where the system continuously monitors interference levels and switch times, compares them against threshold values, and automatically generates diagnosis results. This closed-loop feedback approach eliminates manual intervention while maintaining high diagnostic accuracy through systematic data collection and analysis.
Solution Approach 2:
The diagnosis system performs self-diagnosis by automatically collecting measurement data, analyzing interference patterns, determining misconnection types, and generating reports without requiring external manual intervention. The system serves itself by autonomously identifying feeder misconnections and providing diagnostic conclusions.
2Reliability
If comprehensive measurement data collection is performed to improve diagnosis accuracy, then the diagnosis reliability is improved, but the system complexity increases
Solution Approach 1:
The patent segments the diagnosis process into distinct functional modules: data collection module, analysis module, and determination module. Each module handles specific tasks independently, collecting interference data, analyzing switch times, and determining misconnection types separately. This segmentation maintains reliability through comprehensive data collection while managing complexity through modular architecture.
Solution Approach 2:
The diagnosis system is designed as a multi-functional apparatus that can handle various types of feeder misconnections (main-to-diversity, diversity-to-main, sector-level) using a unified measurement and analysis framework. The same core components serve multiple diagnostic purposes, reducing overall system complexity while maintaining comprehensive diagnostic capability.
Data Source
AI summary
The present invention relates to a method and an apparatus for diagnosing a feeder misconnection. The method includes: for each planned non-co-site strong neighboring cell of a sector to be analyzed, by using each sector of a base station where the sector to be analyzed is located as an interference source, determining a sector having the greatest interference with the non-co-site strong neighboring cell; and when in the planned non-co-site strong neighboring cells of the sector to be analyzed, the sector having the greatest interference with the non-co-site strong neighboring cell is in another sector except the sector to be analyzed, and a ratio of the number of non-co-site strong neighboring cells of the another sector to the total number of the non-co-site strong neighboring cells reaches a preset first threshold, determining that a feeder of the sector to be analyzed is misconnected.