Mobile Client Mobility Trail Visualization for WLAN Troubleshooting
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Solution Overview
Problem
Network administrators face challenges in troubleshooting poor call quality issues for mobile users in wireless local area networks, as the users' RF environments change during voice and video calls, making it difficult to identify the cause of bad call quality.
Innovation Solution
A system and method that provide a visual representation of mobile client roaming charts on a floor plan, combining real-time location tracking with RF environment data and call quality information, allowing administrators to deduce the RF environment and identify coverage holes.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If mobile users move around during voice/video calls, then user mobility and flexibility are improved, but call quality deteriorates due to changing RF environments
Solution Approach 1:
The system performs preliminary location tracking and RF environment mapping before call quality degradation occurs. By continuously monitoring mobile client locations and associated RF conditions in advance, the system builds a database that can be referenced during actual calls to predict and prevent quality issues.
Solution Approach 2:
The system implements feedback mechanisms by monitoring call quality parameters and comparing them against stored RF environment data. This feedback loop enables the system to identify correlations between location/RF conditions and call quality, allowing for real-time adjustments and future prediction.
2Difficulty of detecting and measuring
If network administrators track mobile client locations continuously, then troubleshooting capability is improved, but system complexity increases
Solution Approach 1:
The system extracts and stores only the critical RF environment parameters and location data associated with mobile clients during calls. By extracting only the necessary information rather than capturing all possible data, the system reduces complexity while maintaining effective troubleshooting capability.
Solution Approach 2:
The system creates a database copy of RF environment data and client location information for analysis purposes. This copied data can be stored, queried, and analyzed without affecting the actual network operations, separating the troubleshooting function from the core network infrastructure.
3Measurement precision
If the system stores and analyzes RF environment data for all mobile clients, then call quality analysis accuracy is improved, but data processing requirements increase
Solution Approach 1:
The system applies local quality analysis by focusing RF environment data collection and analysis on specific locations and conditions where call quality issues are reported. Rather than uniformly processing all data, the system targets analysis to problem areas identified through initial monitoring and user reports.
Solution Approach 2:
The system performs partial data processing by analyzing only the subset of RF environment data corresponding to mobile clients experiencing call quality issues. This selective approach reduces processing requirements while maintaining sufficient accuracy for troubleshooting, avoiding the excessive action of processing all available data uniformly.
Data Source
AI summary
The present disclosure discloses a system and a method for displaying mobile trails for mobile client devices. Specifically, a network device obtains a plurality of performance measurements and a corresponding plurality of physical locations for a client device over a period of time. Then the network device generates a plurality of visual representations for the client device over the period of time, each visual representation representing a respective performance measurement and a respective physical location at a respective time during the period of time. Moreover, the network device can display, store, and/or transmit a map of a physical environment with the plurality of visual representations.