Cell Tilt Recommendation for Service Gap Coverage Mitigation
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Solution Overview
Problem
Existing systems fail to provide effective algorithms for accurately determining the correct tilt to mitigate service gaps in network coverage, leading to poor network performance and user dissatisfaction.
Innovation Solution
A method and system for generating tilt recommendations by identifying candidate cells, determining service gap boundaries, categorizing cells based on best server plots and geo-located samples, and calculating electronic tilt to optimize network coverage.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If related art systems are used for mitigating service gaps, then the network coverage can be maintained with existing methods, but the accuracy of determining correct tilt is insufficient leading to ineffective service gap mitigation
Solution Approach 1:
The patent segments the service gap mitigation process into distinct phases: identifying candidate cells, generating service gap boundaries, determining best server plots, obtaining geo-located samples, categorizing candidate cells, and calculating electronic tilt. This segmentation allows each phase to be optimized independently, improving overall measurement precision for tilt determination while ensuring reliable service gap mitigation through systematic progression through each step.
Solution Approach 2:
The patent changes multiple parameters throughout the process including electrical tilt angles, frequency bands, power levels, and antenna configurations. By systematically varying these parameters and analyzing their effects on service gap coverage, the system achieves more accurate tilt determination. The categorization of candidate cells based on multiple parameters further enhances the precision of tilt recommendations.
2Reliability
If a comprehensive algorithm is implemented to accurately ascertain tilt, then the service gap mitigation effectiveness is improved, but the system complexity increases
Solution Approach 1:
The complex algorithm is divided into modular components: service gap boundary generation, best server plot determination, geo-located sample collection, candidate cell categorization, and tilt calculation. Each module performs a specific function and can be independently optimized or replaced, reducing overall system complexity while maintaining comprehensive analysis capabilities for effective service gap mitigation.
Solution Approach 2:
The system performs preliminary actions by pre-identifying candidate cells, pre-generating service gap boundaries, and pre-determining best server plots before the actual tilt calculation. This preliminary classification and organization of data simplifies the final tilt determination step, as the system only needs to process pre-filtered and categorized information rather than analyzing all possible parameters from scratch.
3Measurement precision
If multiple data sources are integrated for cell categorization, then the tilt recommendation accuracy is enhanced, but the data processing time increases
Solution Approach 1:
The system collects and processes data from multiple sources including best server plots, geo-located samples, service gap boundaries, and network configuration data in advance, before the tilt recommendation is needed. This preliminary data gathering and categorization allows the final tilt calculation to use pre-processed, organized information, significantly reducing the time required for the actual recommendation while maintaining high accuracy through comprehensive data integration.
Solution Approach 2:
Different data sources are processed in separate, parallel streams: best server plot analysis, geo-located sample collection, service gap boundary generation, and candidate cell identification. By segmenting the data processing into independent streams that can be executed concurrently, the system integrates multiple data sources for improved accuracy without proportionally increasing total processing time.
Data Source
AI summary
A method for service gap mitigation via tilt recommendation may include: identifying a candidate cell; generating boundaries of a service gap; determining a best server plot of the candidate cell; determining geo-located samples of the candidate cell; categorizing the candidate cell based on the boundaries of the service gap and at least one of the best server plot or the geo-located samples; and calculating an electronic tilt based on the categorization.