Network Planning Data Error Detection via Analytics
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Solution Overview
Problem
Current mobile communication network planning data often contains errors in timing and positioning, which are difficult to detect accurately, leading to inefficient network maintenance and costly verification processes.
Innovation Solution
A system that uses a processor and memory device to analyze call data records and location data from wireless network devices, identifying errors in network planning data by comparing received location data with stored information, allowing for automatic detection and correction of positioning, azimuthal, and feeder cable-related errors without the need for extensive drive tests.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If traditional verification tests are performed to detect errors in network planning data, then measurement precision is improved, but loss of time increases significantly
Solution Approach 1:
The patent introduces an intermediary automated system that uses analytics data and machine learning models to detect errors in network planning data. This intermediary system processes planning data, location data, and call detail records to identify discrepancies automatically, replacing manual verification tests and significantly reducing the time required while maintaining high detection accuracy.
2Reliability
If comprehensive verification tests are conducted to ensure data accuracy, then reliability is improved, but device complexity increases
Solution Approach 1:
The patent creates a universal error detection system that handles multiple types of network planning data errors (timing errors, location errors, azimuth errors, feeder cable errors) through a single multi-functional platform. The system processes various data sources including planning data, location data from multiple devices, and call detail records, providing comprehensive error detection without requiring separate specialized systems for each error type.
3Ease of operation
If manual error detection methods are used, then ease of operation is maintained, but productivity decreases
Solution Approach 1:
The patent implements a self-service automated system that independently detects and identifies errors in network planning data without requiring manual intervention. The system automatically collects data from multiple sources, processes it through analytics engines, identifies discrepancies, and generates error reports, enabling the network operator to maintain operational simplicity while achieving high productivity in error detection.
Data Source
AI summary
A system for correcting network planning data includes a planning repository containing information related to network traffic, network element locations and network element connectivity. The system further includes a repository that includes a plurality of call data records. In addition, the system includes an information processing system including a processor and a memory device coupled to the processor. The memory device contains a set of instructions that, when executed by the processor, cause the processor to receive location data associated with a wireless network cell from a plurality of devices connected to the wireless network. The set of instructions further causes the processor to identify call data records associated with the received location data and to compare information in the received location data with corresponding information stored in the identified call data records to identify errors in the information stored in the planning repository.