Modular Data Processing System for Mobile Call Records
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Solution Overview
Problem
Existing wireless communication systems face challenges in efficiently processing and storing the vast volume of call records generated in mobile communications, leading to delayed and costly data retrieval, which hinders real-time network diagnostics and expansion.
Innovation Solution
A modular data processing system utilizing multiple, parallel, autonomous data processing units that handle data from sets of radio network controllers, allowing simultaneous processing and quick data availability, with a scalable architecture that can be easily expanded as the network grows.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If a single large processing unit is used to handle all call records, then data processing capability is improved, but device cost and complexity increase significantly
Solution Approach 1:
The patent divides the network into multiple zones, each with its own autonomous processing unit that handles call records locally. This segmentation allows distributed processing across multiple smaller units rather than requiring one large centralized processor, thereby maintaining high data processing capability while reducing the complexity and cost of individual processing units.
2Loss of information
If all call records are stored for long periods, then data retrieval completeness is improved, but storage costs and time delays increase
Solution Approach 1:
The patent implements zone-based autonomous processing where each zone maintains and processes its own call records locally. This allows rapid retrieval of zone-specific data without scanning entire network archives, reducing retrieval time while maintaining completeness for local diagnostic needs. Only aggregated or exceptional data requires broader network access.
Solution Approach 2:
The system performs preliminary processing and filtering of call records at the zone level before potential archiving. By pre-processing data locally and maintaining only essential records in each zone, the system reduces the volume of data that would need to be stored and searched, thereby decreasing storage requirements and retrieval time while preserving diagnostically critical information.
3Area of stationary object
If the network expands to cover larger areas, then service coverage is improved, but data processing capacity requirements increase
Solution Approach 1:
The patent organizes the network into multiple autonomous zones, each with its own processing unit. As the network expands geographically, new zones are simply added to the existing architecture rather than requiring expansion of central processing capacity. Each zone independently processes its local call records, allowing the network to scale to larger coverage areas without proportionally increasing overall data processing requirements.
Data Source
AI summary
A modular data processing system (200) for processing communication session data from a cellular mobile communications system (210) comprises at least two autonomous data processing units (340). The autonomous data processing units (340) are arranged in parallel, and are operable simultaneously. Each data processing unit (340) receives and processes raw communication session data from an associated set of controllers of the cellular mobile communications system (210). At least one data collection subsystem (215) supplies the raw communication session data to the at least two autonomous data processing units (340), for calls made within the coverage area of the set of controllers associated with the data processing unit. Processed data may be available more rapidly with the invention. The invention is scalable, and the system may expand as a cellular mobile communications system grows.