User Equipment Log Analysis for Wireless Network Optimization
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Solution Overview
Problem
Current wireless communication systems, particularly LTE, face challenges in optimizing network performance due to increasing demand for mobile broadband access, requiring improved detection and analysis of communication events to enhance network management and optimization.
Innovation Solution
A method and apparatus for detecting communication events, analyzing their aspects, and storing them on user equipment (UE) logs, with the ability to compare these logs with eNB logs to determine optimization criteria for network optimization, utilizing a processing system with a bus architecture and transceiver for communication.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If manual drive testing is used for network optimization, then measurement precision can be achieved, but loss of time and productivity are reduced
Solution Approach 1:
The network optimization system performs self-measurement and self-optimization by automatically detecting communication events, analyzing log data from multiple sources, and generating optimization criteria without requiring manual drive testing. The system serves itself by autonomously collecting performance data and implementing optimization decisions.
Solution Approach 2:
The patent replaces the mechanical manual drive testing process with an automated electronic system that collects data through UEs, eNBs, and O&M systems. The mechanical intervention of manual testing is substituted by automated event detection, log analysis, and optimization criterion generation through computer-based processing.
2Measurement precision
If manual drive testing is used for network optimization, then measurement precision can be achieved, but device complexity and operation difficulty increase
Solution Approach 1:
The system automatically performs the complete optimization workflow including data collection from multiple sources, event detection, log analysis, and optimization criterion generation. This self-service capability eliminates the need for manual operation while maintaining high measurement precision through automated multi-source data correlation.
Solution Approach 2:
The optimization system integrates multiple functions into a single automated platform: it collects data from UEs, eNBs, and O&M systems; detects various communication events; analyzes logs from multiple sources; and generates optimization criteria. This multi-functional integration simplifies operation while achieving comprehensive network optimization.
3Productivity
If automated event detection and log analysis is implemented, then productivity is improved, but device complexity increases
Solution Approach 1:
The system segments the network optimization function across multiple components: UEs detect local communication events and store logs, eNBs collect and analyze logs from multiple UEs, and O&M systems perform comprehensive analysis and generate optimization criteria. This segmentation distributes complexity while maintaining high overall productivity through coordinated automated operation.
Solution Approach 2:
The patent introduces log data as an intermediary that bridges different network components. UEs, eNBs, and O&M systems all interact through standardized log formats, which simplifies the interfaces between components while enabling complex automated analysis and optimization workflows.
Data Source
AI summary
A method, an apparatus, and a computer program product for wireless communication are provided in which a communication event is detected, one or more aspects of the detected communication event are analyzed and at least one of the one or more aspects of the detected communication event is stored on an user equipment in a log.