Cellular Network Requirement Mapping for Automated Compliance Testing
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Solution Overview
Problem
Current document and network management solutions are manual, disaggregated, and lack an end-to-end automated system for extracting requirements from digitized documents, creating databases, and performing network testing, with no cohesive process to track technical requirements against network test cases.
Innovation Solution
A cellular network test system that ingests digitized documents, extracts technical requirements, maps them to network tests, and determines compliance using a large language model for standardization and similarity analysis with algorithms like Cosine and Jaccard, storing results in a centralized repository for automated testing.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If manual document management and network testing processes are used, then flexibility and adaptability are maintained, but productivity and time efficiency deteriorate due to manual extraction and tracking of technical requirements
Solution Approach 1:
The system enables self-service by automatically extracting technical requirements from digitized documents using LLMs, mapping them to network tests, and tracking compliance without manual intervention. The automated pipeline processes documents, extracts requirements, creates test cases, and generates compliance reports autonomously, eliminating the need for manual document management and test coordination.
Solution Approach 2:
The system performs preliminary action by pre-processing digitized documents to extract and structure technical requirements before network testing begins. The LLM-based extraction and similarity analysis are conducted in advance, creating a ready-to-use repository of mapped requirements and test cases that can be immediately applied to network compliance verification.
2Productivity
If automated extraction and mapping of technical requirements is implemented, then productivity and compliance tracking improve, but device complexity and processing requirements increase
Solution Approach 1:
The system uses LLMs as intermediaries to bridge the gap between unstructured digitized documents and structured network test requirements. The LLMs perform the complex task of extracting technical requirements, standardizing their format, and mapping them to appropriate network tests, thereby simplifying the overall system architecture while maintaining high automation capability.
Solution Approach 2:
The system creates copies of technical requirements from various document formats and standardizes them into a unified structure. By copying and transforming requirements into a common format, the system enables automated processing and mapping without requiring complex custom handling for each document type, thus managing complexity while maintaining productivity.
3Measurement precision
If similarity analysis using algorithms like Cosine and Jaccard is performed, then duplicate requirements are filtered and data quality improves, but processing time and computational resources increase
Solution Approach 1:
The system applies partial action by performing similarity analysis selectively on extracted requirements to identify and filter duplicates. Rather than analyzing every possible combination, the system uses efficient algorithms to compare requirements against existing ones in the repository, achieving sufficient deduplication quality without exhaustive processing that would cause excessive time loss.
4Reliability
If end-to-end automated testing is implemented, then compliance accuracy and reliability improve, but system complexity and implementation difficulty increase
Solution Approach 1:
The system segments the end-to-end automated testing process into distinct modular components: document ingestion, LLM-based requirement extraction, similarity analysis for deduplication, requirement-to-test mapping, test execution, and compliance reporting. Each module handles a specific task independently, which improves reliability through specialized processing while managing complexity through modular design that allows independent development and maintenance of each segment.
Data Source
AI summary
Arrangements detailed herein are directed to a requirement test system for a cellular network. Arrangements allow for technical requirements from digitized documents to be extracted. Each of the technical requirements are mapped in a technical requirement repository to at least one cellular network test to be performed on the cellular network. The execution of the cellular network test is performed to determine compliance with the technical requirements extracted from the digitized document.