Area-Based Wireless Network Fault Diagnosis Using Statistical Sampling
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Solution Overview
Problem
Current wireless network fault diagnosis methods are limited to single-point analysis, failing to provide comprehensive fault perception and trend prediction across user equipment areas, leading to inadequate maintenance and user experience issues.
Innovation Solution
A method where a network management server collects and analyzes sampling data from user equipment across areas, generating statistical information on fault types and signal quality to perform area-based wireless network fault diagnosis, enabling timely detection and resolution of network issues.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If single-point fault analysis based on network management system is used, then fault diagnosis can be performed for individual user equipment, but comprehensive fault perception and trend prediction across user equipment areas cannot be achieved
Solution Approach 1:
The patent segments the fault diagnosis approach into two levels: single-point analysis for individual user equipment and area-based analysis for groups of user equipment. The network management server collects sampling data from multiple user equipments in an area, performs area-based fault diagnosis, and generates statistical information about fault trends, thereby achieving both individual and comprehensive fault perception.
2Difficulty of detecting and measuring
If single-point fault analysis is performed, then specific user equipment faults can be identified, but area-wide fault trends and patterns cannot be detected
Solution Approach 1:
The patent merges single-point fault analysis with area-based fault analysis by having the network management server collect sampling data from multiple user equipments in an area, perform both individual and aggregate analysis, and generate comprehensive statistical information. This combination enables detection of both individual faults and area-wide fault trends without requiring separate independent systems.
3Reliability
If comprehensive sampling data collection from multiple user equipments is implemented, then area-based fault diagnosis can be performed, but system complexity and data processing requirements increase
Solution Approach 1:
The patent introduces a collection server as an intermediary component that gathers sampling data from multiple user equipments and forwards it to the network management server. This intermediary architecture distributes the data collection burden, simplifies the network management server's workload, and enables comprehensive data collection from multiple sources without proportionally increasing overall system complexity.
Data Source
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AI summary
Embodiments of the present invention provide A wireless network fault diagnosis method and device. The method includes: receiving, by a network management server, sampling data of user equipments in at least one area in a wireless network, where the sampling data includes attribute information of the user equipment and corresponding probe-collected information of the user equipments; generating, by the network management server according to the sampling data of the user equipments in the at least one area, statistical information that is corresponding to each area of the at least one area; and performing, by the network management server, area-based wireless network fault diagnosis according to the statistical information that is corresponding to each area of the at least one area. Therefore, area-based wireless network fault diagnosis is performed by using the statistical information that is corresponding to each area of the at least one area, a fault trend of the user equipment can be fully perceived, so that corresponding measures are taken against wireless network faults to effectively improve satisfaction on user experience.