Cell Parameter Adjustment for Wireless Coverage Hole Mitigation
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Solution Overview
Problem
Wireless cellular networks face coverage holes due to physical obstructions, unsuitable antenna parameters, and inadequate RF planning, leading to insufficient signal strength and connectivity issues, resulting in call drops and Radio Link Failures.
Innovation Solution
A method and system that identify optimum cells based on cell parameters and coverage hole information, determine the percentage of contribution for each cell, and modify transmission parameters to mitigate coverage holes by prioritizing and replacing cells as necessary, thereby enhancing coverage area and user equipment connectivity.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Area of stationary object
If the coverage area is increased to serve more users, then the network coverage is improved, but coverage holes may be created due to physical obstructions and inadequate RF planning
Solution Approach 1:
The system segments the coverage area into multiple serving cells, each responsible for a specific geographic region. By dividing the large coverage area into smaller cellular units, the system can manage coverage holes locally within individual cells or at cell boundaries, rather than treating the entire coverage area as a single unit. This segmentation enables targeted optimization of each cell's parameters to mitigate coverage holes while maintaining overall network coverage.
Solution Approach 2:
The system applies local quality by identifying coverage holes at specific locations (particularly at cell boundaries) and applying targeted solutions to those specific areas. The method calculates coverage hole information for each cell boundary and adjusts transmission parameters locally at affected boundaries rather than uniformly across the entire coverage area. This allows the system to maintain high connectivity reliability in problematic areas while preserving the overall expanded coverage area.
2Reliability
If transmission parameters are modified to fill coverage holes, then connectivity reliability is improved, but network resources may be wasted in areas with already sufficient coverage
Solution Approach 1:
The system applies local quality by identifying coverage holes at specific locations (particularly at cell boundaries) and applying targeted solutions to those specific areas. The method calculates coverage hole information for each cell boundary and adjusts transmission parameters locally at affected boundaries rather than uniformly across the entire coverage area. This allows the system to maintain high connectivity reliability in problematic areas while preserving the overall expanded coverage area.
Solution Approach 2:
The system dynamically changes transmission parameters (such as power levels, antenna tilt, or beamforming characteristics) based on the detected coverage hole conditions. By adjusting parameters only in areas where coverage holes are identified, the system avoids unnecessary resource consumption in areas with sufficient coverage while ensuring adequate signal strength in problematic regions, thus optimizing the trade-off between connectivity reliability and network resource efficiency.
3Productivity
If multiple cells are used to serve the coverage area, then the coverage capacity is improved, but the complexity of managing cell parameters and identifying coverage holes increases
Solution Approach 1:
The system utilizes and optimizes existing cell parameters (such as transmission power, antenna configuration, and frequency allocation) rather than introducing entirely new parameters. By working with established parameter sets and applying systematic adjustment rules based on coverage hole detection, the system maintains coverage capacity across multiple cells while avoiding the complexity of managing a large number of new or highly customized parameters.
Solution Approach 2:
The system implements a feedback mechanism where coverage hole information is continuously monitored and used to automatically adjust cell parameters. The method calculates coverage hole metrics based on signal strength measurements and cell parameter configurations, then uses this feedback to identify and mitigate coverage holes. This closed-loop feedback approach simplifies management by providing automated, data-driven decision-making rather than requiring complex manual coordination of multiple cell parameters.
Data Source
AI summary
Embodiments of the present disclosure relate to mitigating at least one coverage hole [108] from a coverage area served by at least one serving cell [102A to 102L]. In a preferred embodiment, a method is disclosed comprising: identifying at least one of at least one first optimum cell and at least one second optimum cell from the at least one serving cell [102A to 102L] based on the coverage hole information based on least one first cell parameter and at least one second cell parameter respectively; determining a final set of target cells comprising at least one final cell and mitigating the at least one coverage hole [108] by modifying the transmission parameter of the at least one final cell based on at least one of the coverage hole information, the at least one first cell parameter and the at least one second cell parameter.