Cell Site Selection Using Call Failure Coverage Analysis
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Solution Overview
Problem
Existing cellular networks face challenges in quickly and accurately identifying the root causes of call failures and determining the optimal deployment of new cell sites to improve network performance.
Innovation Solution
A performance server classifies call failure samples into different sample sets based on coverage and signal quality parameters, identifies root causes, recommends remedial actions, and selects high-impact new cell sites for deployment using call failure data analysis.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If traditional manual methods are used to identify root causes of call failures, then investigation can be thorough, but the process is time-consuming and computationally resource-intensive
Solution Approach 1:
The patent segments call failure samples into multiple categories based on network conditions (coverage, signal quality, interference levels). This segmentation allows the system to quickly identify which category a failure belongs to and apply pre-determined remedial actions, eliminating the need for manual investigation of each failure's root cause while maintaining high accuracy
Solution Approach 2:
The system performs preliminary classification of call failure samples into categorized sets based on network conditions before actual failure analysis is needed. By pre-organizing samples and their associated root causes and remedial actions, the system can immediately retrieve and apply the correct solution when a failure occurs, significantly reducing resolution time
2Reliability
If multiple remedial measures are tested one by one to resolve call failures, then comprehensive solution can be found, but computing resources and network bandwidth are wasted
Solution Approach 1:
The system enables self-service by automatically classifying call failure samples, identifying their category based on network conditions, and determining the appropriate remedial action without requiring manual intervention or iterative testing. The pre-established mapping between failure categories and remedial actions allows the system to directly apply the correct solution, eliminating wasteful resource consumption from trial-and-error approaches
Solution Approach 2:
The system implements feedback mechanisms where call failure data is continuously collected, classified, and used to refine the categorization and remedial action mappings. This feedback loop ensures that the most effective remedial actions are identified and applied, improving resolution effectiveness while minimizing resource waste through data-driven decision making
3Productivity
If new cell sites are deployed without impact analysis, then deployment speed is fast, but resource allocation may be inefficient and high-impact opportunities may be missed
Solution Approach 1:
The system performs preliminary impact analysis for potential new cell site locations by evaluating historical call failure data and network conditions in the proposed coverage area. This preliminary assessment identifies locations where new cell sites would have the highest impact on resolving call failures, allowing operators to prioritize deployments that deliver maximum value while maintaining fast deployment timelines
Solution Approach 2:
The patent introduces a new dimension of impact analysis by evaluating potential cell site locations based on multiple parameters including coverage area, signal quality improvement potential, and reduction in call failures. This multi-dimensional assessment transforms the deployment decision process from simple geographic placement to optimized strategic positioning that maximizes network performance improvement
Data Source
AI summary
Data relating to call failures that occurred in a wireless communication network is accessed from a memory, the data including a plurality of call failure samples. The samples are plotted on a map along with a potential new cell site. An enclosed buffer area is selected around the potential new cell site and call failure samples within the enclosed buffer area are selected. Among the selected samples, a set of samples is selected that are associated with values of a coverage parameter lower than a coverage threshold. A percentage contribution is calculated of the samples in the set among all samples within the buffer area. When the percentage contribution equals or exceeds a first threshold and a number of the samples in the buffer area equals or exceeds a second threshold, it is determined that the potential new cell site is to be deployed.