Network Access Node Modification Approval Using Quantitative Metrics
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Solution Overview
Problem
Current project management of telecommunications network access node modifications lacks objective, empirical metrics for easy parallel comparison, leading to ad-hoc decision-making.
Innovation Solution
A system that preprocesses data to generate a justification package using population, coverage, and subscriber data, allowing for quantitative comparisons and decision-making by a decision center.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Speed
If ad-hoc decision-making is used for network access node modifications, then flexibility and speed of decision are improved, but objectivity and consistency of decisions deteriorate
Solution Approach 1:
The patent transforms qualitative modification requests into quantitative assessments by defining specific parameters (population data, coverage data, subscriber data, financial data) with standardized metrics. This allows objective comparison while maintaining decision speed through automated calculation of these parameters.
Solution Approach 2:
The decision-making process is segmented into distinct quantitative components (population, coverage, subscriber, financial metrics) that can be independently calculated and evaluated. This segmentation enables systematic objective assessment without sacrificing overall decision speed.
2Measurement precision
If standardized quantitative metrics are implemented for modification approval, then objectivity and comparability of decisions are improved, but system complexity increases
Solution Approach 1:
The patent creates a universal justification package format that serves multiple functions: data collection, objective assessment, parallel comparison, and automated decision support. This multi-functionality reduces the need for separate systems for each evaluation aspect, thereby managing complexity.
Solution Approach 2:
The system introduces a standardized justification package as an intermediary between modification requests and decision-making. This intermediary structure organizes complex data into consistent formats, simplifying the overall system by providing a single interface for objective evaluation.
3Measurement precision
If comprehensive data processing is performed to generate justification packages, then accuracy of decision-making is improved, but processing time increases
Solution Approach 1:
The system performs preliminary data collection and organization into standardized justification packages before formal review. By pre-processing data into consistent formats with standardized metrics, the system enables faster subsequent evaluation and parallel comparison without sacrificing accuracy.
Data Source
AI summary
This technology relates to a system for reviewing the feasibility of requests to modify telecommunications network access nodes. The system reviews accompanying data presented for the requested change by pre-processing data. The pre-processing includes calculating, based on the accompanying data of the request, population data, coverage data, and subscriber data. Based on the population data, the coverage data, and the subscriber data, the system may generate a justification package and transmit it to a decision center, a software program designed to assess the desirability of changes to telecommunications network access nodes. The decision center responds to the request with an approval or rejection decision. The system may receive further requests to modify the telecommunications network access node following the approval or rejection of the initial request.