Cell Site Performance Impact Grid for Wireless Network Prioritization
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Solution Overview
Problem
Mobile wireless network service providers face challenges in efficiently identifying and addressing performance issues across their infrastructure due to the massive volume of data and limited resources, necessitating an automated system to prioritize remedial actions effectively.
Innovation Solution
A computerized method and system that generates a two-dimensional problem impact grid for geographic areas, using threshold tests and aggregation operations to assign impact scores to cell sites, enabling prioritization of maintenance activities based on problem severity and impact.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If manual evaluation of network performance data is performed, then analysis accuracy can be maintained, but the time required to process millions of data points becomes excessively long
Solution Approach 1:
The patent replaces manual mechanical evaluation with an automated computerized system that processes network performance data. The system uses automated algorithms to analyze millions of data points, KPIs, and network parameters, substituting human analysts with computational processes that can handle large volumes of data rapidly while maintaining consistent analysis accuracy.
Solution Approach 2:
The patent introduces an automated evaluation system as an intermediary between raw network data and decision-making. This intermediate system processes, aggregates, and prioritizes network performance data, transforming raw data into actionable insights about which cell sites require maintenance attention, thereby bridging the gap between data collection and maintenance decisions.
2Reliability
If resources are allocated to address every identified network issue, then overall network performance improves, but the limited resources of service providers are depleted
Solution Approach 1:
The patent applies local quality by prioritizing maintenance resources based on the specific conditions and impact of each cell site. Rather than uniform treatment, the system evaluates each location's unique performance metrics, user density, and service quality impacts to determine resource allocation priorities, ensuring resources are concentrated where they provide maximum benefit.
Solution Approach 2:
The patent changes the parameters of resource allocation by introducing a prioritization framework that transforms resource distribution from egalitarian to performance-based. The system uses multiple parameters including KPI thresholds, user satisfaction metrics, and service quality impacts to dynamically adjust resource allocation priorities, allowing service providers to address the most critical issues first.
3Reliability
If comprehensive network monitoring is implemented across all cell sites, then service quality can be maintained, but the complexity of managing and analyzing the data increases
Solution Approach 1:
The patent segments the vast network performance data into manageable components by organizing information around individual cell sites and their specific performance metrics. The system divides the overall network into discrete evaluation units, each assessed independently based on local KPIs and performance thresholds, making the complex data set more manageable and actionable.
Solution Approach 2:
The patent adds a prioritization dimension to the data management system, transforming flat performance data into hierarchical information with clear priority levels. By introducing a third dimension of importance ranking based on user impact and service quality, the system organizes complex multi-dimensional data in a way that guides maintenance decisions without requiring analysts to process all raw data points.
Data Source
AI summary
A method is described for identifying and prioritizing, for remediating, impactful problems in a mobile wireless communications network. The method includes rendering a human observable representation of problem impact at particular geographic units within a grid corresponding to a geographic area of interest. The method includes tabling mobile wireless communication network data in a database, generating a problem impact grid for a geographic area of interest sub-divided into sub-areas of specified dimensions and rendering a listing representing a prioritized set of mobile wireless communication network issues arranged in accordance with magnitude of values assigned to sub-areas of the problem impact grid.