Wireless IQ Signal Analysis GUI for Root Cause Correlation
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Solution Overview
Problem
Existing wireless signal capture devices lack user-friendly interfaces for analyzing and displaying IQ signals, limiting data manipulation and correlation identification, and require technical expertise for root cause analysis, hindering network issue resolution.
Innovation Solution
A wireless signal capture and data analyzer device that captures IQ signals, stores them in a log file, and provides a graphical user interface for selecting and operating on parameters, enabling users to perform operations and visualize correlations through graphical outputs.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If a fixed user interface is used in wireless signal capture devices, then the device structure is simple, but the user cannot select various parameters in the captured RRC messages and is hindered in identifying useful correlations
Solution Approach 1:
The user interface transitions from a fixed static design to a dynamic configurable interface where users can select different parameters, operators, and view various correlations in the captured RRC messages. The interface adapts to user needs by allowing real-time parameter selection and customization of display options.
Solution Approach 2:
The graphical user interface is designed to perform multiple functions: displaying captured RRC messages, allowing parameter selection, applying various operators (comparison, mathematical operations), and presenting results in multiple formats. This multi-functional interface replaces the need for multiple specialized tools.
2Reliability
If manual review of log files is performed to resolve configuration issues, then root cause analysis can be achieved, but it requires a relatively high level of technical expertise
Solution Approach 1:
The system performs automated analysis of captured RRC messages and log files, generating insights and identifying potential root causes without requiring manual expert intervention. The device serves itself by automatically processing data, applying analysis algorithms, and presenting results in an easily interpretable format.
Solution Approach 2:
The graphical user interface acts as an intermediary between the complex data analysis processes and the user. It translates complex technical operations into simple visual displays and user-friendly controls, allowing users with varying levels of expertise to perform sophisticated analysis.
3Productivity
If fixed user interface is used, then device complexity is low, but the amount of data manipulation and analysis available to the user is limited
Solution Approach 1:
The system pre-processes and organizes captured RRC message data into structured formats with identifiable parameters before presentation to the user. This preliminary organization enables rapid querying, filtering, and analysis operations without requiring complex real-time processing during user interaction.
Data Source
AI summary
The subject matter described herein includes methods, systems, and computer readable media for analyzing and displaying wireless signal data captured by a wireless signal capture and data analyzer device. The method includes capturing wireless in-phase and quadrature (IQ) signals transmitted over an air interface between a real or emulated wireless base station and one or more real or emulated user equipment (UE) devices. The device stores parameters from the captured IQ signals in a log file and provides a graphical user interface (GUI) that displays the parameters and enables a user to select them. The GUI receives user inputs selecting one or more parameters and a selectable operators. The device then performs an operation corresponding to the selectable operator on the one or more parameters and generates an output and presents the output to the user via the graphical user interface.