Wireless Network Node Validation Using OA&M Traffic Metrics
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Solution Overview
Problem
Current project management in wireless network construction is manual, prone to errors, and relies on opinion-based validation, leading to inefficiencies and inaccuracies in tracking project milestones.
Innovation Solution
Automated construction validation using network metrics, where real network data from OA&M systems is used to determine when base station equipment is operational and producing call statistics, automatically updating project management software with accurate milestone dates.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If manual validation method is used, then device complexity is reduced, but measurement precision and reliability deteriorate
Solution Approach 1:
The system enables self-service validation by having the network automatically detect and report construction milestones through OA&M data collection. The automated system queries network data to determine when base station equipment becomes operational and generates call statistics, eliminating the need for manual field validation while maintaining high accuracy.
Solution Approach 2:
The patent replaces manual mechanical validation processes with automated electronic systems. Instead of manual field checks and subjective opinion-based validation, the system uses automated data collection from OA&M systems, network metric analysis, and computer-generated validation reports to achieve precise milestone tracking.
2Reliability
If automated validation is implemented, then reliability and measurement precision improve, but device complexity increases
Solution Approach 1:
The automated validation system performs multiple functions through a single integrated platform. It collects OA&M data, queries network metrics, determines equipment operational status, generates validation reports, and updates project management software - all through one system that serves multiple validation needs simultaneously.
Solution Approach 2:
The system implements continuous feedback loops where OA&M data is constantly queried, network metrics are monitored, and validation status is automatically updated in real-time. This feedback mechanism ensures reliable tracking of construction milestones as they actually occur in the network.
3Productivity
If manual validation is used, then system complexity is low, but productivity and time efficiency deteriorate
Solution Approach 1:
The system performs preliminary actions by pre-configuring validation criteria, pre-establishing OA&M data collection protocols, and pre-programming automated queries to network data sources. This preparation enables rapid automated validation execution without requiring complex real-time decision-making during validation events.
Solution Approach 2:
The automated validation system operates continuously, constantly monitoring network metrics and OA&M data without interruption. This continuous action eliminates the intermittent nature of manual validation, maintaining steady productivity and rapidly detecting milestone completions as they occur.
Data Source
AI summary
Aspects of the subject disclosure may include, for example, obtaining first data identifying a plurality of nodes in a wireless communications network, wherein each of the plurality of nodes includes respective radio equipment of a first manufacturer; obtaining second data identifying a new node in the wireless communications network, wherein the new node includes radio equipment of a second (different) manufacturer; correlating the new node with a first node of the plurality of nodes; obtaining first traffic data that characterizes first traffic carried by the first node; obtaining second traffic data that characterizes second traffic carried by the new node; analyzing the first and second traffic data to generate status information; and presenting the status information in visual form, in audio form, as data, as a graph, as a chart, as a table, in a graphical user interface (GUI), or any combination thereof. Other embodiments are disclosed.