Subscriber Activity Map for Cellular Network Monitoring
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Solution Overview
Problem
Service providers face challenges in understanding and managing the connection behaviors of user devices on cellular networks, which affects the quality of service and bandwidth usage, due to varying handset models, applications, and geographical influences.
Innovation Solution
An activity map is generated using a time grid to display multiple parameters indicating device status and activity, allowing service providers to visualize and analyze connection patterns, identify issues, and determine necessary network modifications.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If service providers monitor and track detailed connection behaviors of user devices, then quality of service can be enhanced and bandwidth waste reduced, but system complexity and data processing requirements increase
Solution Approach 1:
The patent segments connection behavior data into distinct parameters (connection duration, frequency, timing patterns, application usage) that can be independently analyzed. This segmentation allows the system to manage complexity by breaking down monolithic monitoring into modular, analyzable components while maintaining comprehensive QoS assessment capability.
Solution Approach 2:
The patent introduces an intermediary analysis layer that processes raw connection behavior data and transforms it into actionable insights. This intermediary system acts as a buffer between data collection and decision-making, reducing the complexity burden on both the monitoring infrastructure and the service provider's cognitive load through automated pattern recognition.
2Measurement precision
If multiple parameters are displayed for each device, then device behavior assessment accuracy improves, but information processing and display complexity increases
Solution Approach 1:
The patent employs color-coded visual indicators to represent different connection behavior parameters and their anomaly levels. This visual encoding system allows multiple parameters to be displayed simultaneously in an easily interpretable format, maintaining high measurement precision while reducing the cognitive processing complexity for service providers reviewing device behavior data.
Data Source
AI summary
Connection activity between a device and service provider's network is monitored. Connection parameters calculated based on the connection activity are stored. An activity map is generated to capture and display the connection parameters which indicate activity or repeated patterns of activity over time. The activity utilizes a time grid to display a plurality of parameter regarding device status and activity. The x-axis of the time grid divides a time period into portions of time at a first time length. The y-axis of the time grid divides the portions of time at the first time length into smaller lengths of time at a second time length. Multiple layers of indicators are used in the time grid to indicate the status of several parameters during the same time period.