Network Planning Data Error Detection Using Call Trace Records
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Solution Overview
Problem
Current mobile communication network planning data often contains errors, such as missing cells and uncalibrated cable or fiber delays, which are difficult and time-consuming to detect, requiring extensive verification tests.
Innovation Solution
A network monitoring system analyzes call trace records and timing advance data to automatically identify and correct errors in the planning repository, reducing the need for large-scale drive tests and improving data accuracy.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If numerous verification tests are performed to detect planning data errors, then measurement precision is improved, but loss of time increases
Solution Approach 1:
The patent replaces manual verification tests with automated computer-based analysis of call trace records. The system automatically compares planning data against actual network behavior captured in call traces, eliminating the need for time-consuming manual drive tests and verification procedures while maintaining high accuracy in error detection.
Solution Approach 2:
The patent uses call trace records as copies of actual network behavior to verify planning data accuracy. Instead of performing physical verification tests throughout the network, the system analyzes recorded call trace data that captures real network performance, providing an efficient proxy for comprehensive verification.
2Measurement precision
If large-scale drive tests are conducted to verify network planning data, then measurement precision is improved, but device complexity and cost increase
Solution Approach 1:
The patent leverages existing call trace records as copies of network behavior to verify planning data. These records are already captured during normal network operation, eliminating the need for complex drive test infrastructure while maintaining accurate verification of planning data correctness.
Solution Approach 2:
The system uses the network's own operational data (call traces) to verify its own planning configuration. This self-verification approach eliminates the need for external drive test vehicles, specialized testing equipment, and manual verification processes, significantly reducing complexity and cost.
3Measurement precision
If manual verification tests are performed to detect errors in planning data, then measurement precision is improved, but productivity decreases
Solution Approach 1:
The patent replaces manual verification processes with automated computer analysis of call trace records. The system automatically compares planning data against actual network behavior, dramatically increasing error detection productivity while maintaining high accuracy through systematic algorithmic comparison.
Solution Approach 2:
The system continuously monitors and analyzes call trace records as they are generated during normal network operation. This continuous automated verification provides ongoing error detection without interrupting network services or requiring dedicated verification test periods, maximizing productivity.
Data Source
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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 of a wireless network that includes a plurality of call trace records. In addition, the system includes an information processing system including a processor and a memory device coupled to the processor in communication with the planning database and with the repository of the wireless network. The memory device contains a set of instructions that, when executed by the processor, cause the processor to receive at least of the plurality of call trace records from the repository of the wireless network and cause the processor to compare information in the at least one call trace record with corresponding information stored in the planning repository to identify one or more errors in the information stored in the planning repository.