Automated Cell Tower Outage Impact Quantification
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Solution Overview
Problem
Current methods for analyzing the impact of cellular tower outages are manual, inaccurate, and ignore fault-tolerance mechanisms due to complexity, leading to under or overestimation of user population and inaccurate impact analysis.
Innovation Solution
An automated method using a general-purpose computer to monitor cellular towers, detect failures, identify affected regions, calculate additional customers served, and quantify total customer impact through time series decomposition and diffusion algorithms.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If manual analysis by operator is used, then ease of operation is maintained, but measurement precision deteriorates
Solution Approach 1:
The system performs self-service by automatically monitoring cellular tower status, detecting failures, identifying affected regions, and calculating customer impact without requiring manual operator intervention. The automated analysis engine processes data from multiple sources and generates impact assessments independently, eliminating human subjectivity while maintaining operational simplicity.
Solution Approach 2:
The patent replaces the mechanical manual analysis process with an automated computational system. Instead of operators manually examining outage data and estimating impact, the system uses automated algorithms to monitor tower status, trace affected regions through network dependencies, and calculate precise customer impact metrics, substituting human cognitive processes with computational mechanisms.
2Reliability
If per incident analysis is performed, then ease of operation is maintained, but reliability deteriorates
Solution Approach 1:
The system segments the analysis into distinct functional modules: tower status monitoring, failure detection, affected region identification through network dependency tracing, and customer impact calculation. Each module handles a specific aspect of the analysis independently, allowing the system to process complex multi-tower scenarios by breaking them down into manageable segments while maintaining overall reliability.
Solution Approach 2:
The system performs preliminary action by pre-establishing network dependency relationships and tower coverage areas before outages occur. This preparatory work includes mapping which towers serve which regions and how failures propagate through the network, so that when an outage happens, the system can quickly calculate impact without complex real-time analysis, improving reliability while reducing operational complexity.
3Measurement precision
If operator estimation is used, then ease of operation is maintained, but measurement precision deteriorates
Solution Approach 1:
The system implements feedback by continuously monitoring actual cellular tower status and comparing it against expected performance. When discrepancies are detected indicating failures, the system automatically triggers analysis and uses the results to refine its understanding of network dependencies and customer distributions, improving estimation accuracy over time while maintaining automated operation simplicity.
Solution Approach 2:
The patent introduces an automated analysis engine as an intermediary between raw tower status data and customer impact conclusions. This intermediary systematically processes data through defined algorithms, eliminating the need for operators to directly estimate impact while preserving ease of operation through automated workflow management. The intermediary translates complex network data into precise customer impact metrics without requiring human judgment.
Data Source
AI summary
A method, computer-readable storage device and apparatus for quantifying a total number of customers impacted by a cellular tower outage are disclosed. For example, the method monitors a plurality of cellular towers, detects a failure of one of the plurality of cellular towers, identifies a subset of the plurality of cellular towers that are included in an affected region, calculates a number of additional customers served by each one of the subset of the plurality of cellular towers that are included in the affected region due to the failure of the one cellular tower, and quantifies the total number of customers impacted by the failure of the one cellular tower by adding the number of additional customers served by the each one of the subset of the plurality of cellular towers that are included in the affected region.