Local 5G Heat Map Monitoring for Throughput Anomaly Analysis
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Conventional local 5G systems struggle to analyze past performance trends and specify the cause of abnormal states such as transmission speed decreases and communication delays, particularly when radio wave intensity is strong but throughput is low due to unknown interference.
Innovation Solution
A local 5G monitoring system that generates heat maps at predetermined time intervals using measurement data from measuring devices, displaying the distribution of states with colors corresponding to the states of radio waves and IP data communication, allowing for retroactive analysis and correlation display between radio waves and IP data communication.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of information
If conventional radio quality distribution is displayed showing only current state, then the display is simple, but the ability to analyze past performance trends and specify cause of abnormal states is insufficient
Solution Approach 1:
The system performs preliminary actions by continuously capturing and storing radio quality measurement data at predetermined time intervals before abnormal states occur. This historical data is stored in advance in the storage unit, enabling retroactive analysis when abnormalities are detected, thus resolving the contradiction between information completeness and system complexity.
Solution Approach 2:
The system creates visual copies of historical radio quality data through heat maps that replicate the spatial distribution of measurement values at different time points. These heat map images serve as visual copies that can be displayed and analyzed without requiring complex raw data processing during troubleshooting, thus maintaining simplicity while providing comprehensive information.
2Measurement precision
If radio wave intensity is strong, then throughput is generally high, but unknown jamming waves may cause strong radio waves without actual throughput
Solution Approach 1:
The system applies feedback by continuously monitoring and comparing multiple parameters (radio wave intensity, throughput, delay) over time. When discrepancies are detected between expected performance based on radio wave strength and actual throughput, the system uses the stored historical data to trace back and identify the presence of jamming waves, thus improving measurement precision despite harmful interference.
Solution Approach 2:
The system segments the analysis by separating different measurement parameters (radio wave intensity, throughput, delay) and analyzing their relationships independently through separate heat maps. This segmentation allows precise identification of whether throughput degradation is caused by radio wave issues or other factors like jamming, thus improving cause specification accuracy.
3Loss of time
If heat map is generated at predetermined time intervals, then retroactive analysis is enabled, but data storage and processing requirements increase
Solution Approach 1:
The system applies local quality by generating heat maps that visually represent measurement data density and importance in different spatial and temporal regions. Areas with significant changes or abnormalities are highlighted with different colors, allowing users to quickly focus on critical time periods and locations without being overwhelmed by the entire dataset, thus reducing effective data processing requirements.
Solution Approach 2:
The system uses color changes in heat maps to encode measurement values and temporal patterns, transforming large volumes of numerical data into visually interpretable formats. This color-coded representation allows rapid identification of trends and abnormalities, significantly reducing the time required to analyze historical data while maintaining comprehensive coverage of measurement periods.
Data Source
AI summary
The local 5G monitoring system includes measuring devices that measure radio waves from a base station of the local 5G system, and a server device that belongs to the same local area network (LAN) as the measuring devices, or is connected to the Internet, and collects measurement data from the measuring devices, in which the server device generates, based on the measurement data measured by the measuring devices at predetermined time intervals, a heat map showing a distribution of states of the measurement data, and displays the heat map at a time designated by a user, from the generated heat map.