Cell ID Network Analysis for Real-Time Congestion and Outage Detection
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Solution Overview
Problem
Traditional methods for analyzing network performance in wireless telecommunications networks lack real-time insights and proactive issue identification, requiring significant time, resources, and manual effort, and do not provide cell-level analysis.
Innovation Solution
A system and method for analyzing network performance that automates the process, focusing on individual cells, using a receiving unit, memory, and processing unit to retrieve cell IDs, identify neighboring cells, and analyze performance attributes such as barring, outage, congestion, and interference, providing real-time and proactive issue identification.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If traditional methods (manual inspections, drive testing, KPIs, network monitoring tools, field technician visits) are used to analyze network performance, then valuable insights into network performance can be obtained, but significant time, resources, and manual effort are required
Solution Approach 1:
The system enables self-service network performance analysis by automatically collecting data from network elements, processing it through computational graphs, and generating insights without requiring manual inspections or field technician visits. The network elements themselves provide the data needed for analysis, eliminating the need for external manual intervention.
Solution Approach 2:
The patent replaces manual mechanical inspection methods with automated digital data collection and processing systems. Instead of physical drive testing and manual monitoring, the system uses automated data gathering from network elements, computational graphs for processing, and digital visualization for analysis, substituting mechanical field operations with automated information processing.
2Measurement precision
If traditional network performance analysis methods are used, then network-wide quantitative measurements can be obtained, but real-time cell-level analysis and proactive issue identification are not provided
Solution Approach 1:
The system segments network performance analysis at the cell level by collecting data from individual network elements (cells) and processing them through separate computational graphs. This segmentation allows precise measurement of each cell's performance metrics (RSRP, RSRQ, SINR, handover success rate) independently, enabling detailed cell-level insights rather than only network-wide aggregates.
Solution Approach 2:
The system implements real-time feedback mechanisms by continuously collecting data from network elements, processing it through computational graphs, and generating immediate insights and alerts. This feedback loop enables proactive issue identification when performance thresholds are breached, allowing the system to detect and report problems as they occur rather than relying on historical or aggregated data.
Data Source
AI summary
The present disclosure provides a system (108) and a method (300) for analyzing network performance based on the cell ID. By examining the specific cell's network performance, the system allows operators to identify and optimize any existing issues within that cell. The analysis is also extended to customer care support, providing agents with valuable information to address customer concerns related to the specific cell. The system analyzes various aspects of the network, including barring, congestion, outage, and interference, to identify potential issues and their corresponding resolutions. This analysis helps build trust between the operator and customers, improves customer satisfaction, and reduces call volume and costs for the company.