Automatic Overshooting Cell Identification and Optimization
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Solution Overview
Problem
Current methods for optimizing wireless network cell sites are manual and inefficient, lacking comprehensive data correlation, and do not automatically detect or correct overshooting cells, which lead to poor user experience and increased operational costs due to excessive interference and unbalanced coverage areas.
Innovation Solution
A system and method for automatic identification and optimization of overshooting cells by receiving parameters such as permissive void count thresholds and transmission parameters, identifying active and passive timing advances, determining user equipment counts, and modifying transmission parameters to adjust coverage areas.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If manual monitoring and analysis methods are used for cell sites, then operational control is maintained, but productivity is low and time consumption is high
Solution Approach 1:
The system enables self-service automation where the network automatically monitors itself, performs analysis, and generates optimization recommendations without requiring manual field visits. The automated system collects data from multiple sources, identifies overshooting cells, and proposes corrections autonomously, dramatically improving productivity while reducing time loss.
Solution Approach 2:
The patent replaces manual mechanical monitoring processes with an automated electronic system. Instead of personnel physically visiting cell sites for drive tests and analysis, the system uses automated data collection from network elements, passive monitoring, and computational algorithms to identify and optimize overshooting cells, significantly reducing time consumption.
2Measurement precision
If comprehensive data correlation is implemented using multiple data sources, then measurement precision is improved, but device complexity increases
Solution Approach 1:
The system segments the complex data correlation task into distinct functional modules: data collection from multiple sources (drive tests, passive monitoring, geo-location measurements, OSS data), data processing and correlation, overshooting cell identification, and optimization recommendation generation. This modular segmentation improves measurement precision while managing system complexity through organized functional decomposition.
Solution Approach 2:
The system implements a universal platform that handles multiple data sources and analysis functions through a unified architecture. The same core processing engine correlates data from diverse sources (drive tests, passive monitoring, geo-location, OSS) and performs multiple functions including overshooting cell detection, coverage analysis, and optimization recommendation, reducing overall system complexity through multi-functionality.
3Area of stationary object
If transmit power levels are increased to cover overshooting areas, then coverage area is expanded, but harmful factors increase due to excessive interference
Solution Approach 1:
The system implements feedback by continuously monitoring network performance data, identifying overshooting cells that cause excessive interference, and generating optimization recommendations to adjust transmit power levels. The feedback loop ensures that coverage requirements are met while preventing harmful interference to neighboring cells through data-driven power optimization.
Solution Approach 2:
The system changes operational parameters (transmit power levels, antenna tilt angles) of identified overshooting cells to optimize coverage while reducing interference. By adjusting these parameters based on correlated data from multiple sources, the system achieves the desired balance between expanding coverage area and minimizing harmful interference to neighboring cells.
Data Source
AI summary
Embodiments of the present invention relate to systems and methods for automatic identification and optimization of an overshooting cell (102) by receiving a parameter associated with at least one cell having a timing advance with a permissive range of operative user equipment (UE), wherein the parameter comprises a permissive void count threshold; identifying the timing advance as one of an active timing with at least one operative UE and a passive timing advance without at least one UE; determining at least one of a UE count of the operative UE in the active timing advance and a void count in the passive timing advance; identifying the at least one cell as the overshooting cell (102) by comparing at least one of: the UE count with the permissive range of operative UE and the void count with the permissive void count threshold; and modifying at least one transmission parameter of the overshooting cell (102).