Cell Site Deployment Planning for Uniform Network Capacity
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Solution Overview
Problem
Existing methods for improving telecommunications network performance through cell site deployment are resource-intensive and often result in uneven capacity distribution, leading to zones of poor performance.
Innovation Solution
A method that generates a map of predicted network performance by combining baseline network performance with signal propagation maps for potential cell sites, allowing for the quantitative evaluation of deployment plans and their impact on network performance.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If new cell sites are added to increase network capacity uniformly, then network capacity is improved, but investment time and resources increase significantly
Solution Approach 1:
The system performs preliminary simulation and prediction of network performance before actual deployment. By using signal propagation models to predict the impact of potential cell sites on network KPIs, the system identifies optimal deployment locations in advance, enabling planners to prepare deployment plans without immediate field testing or trial-and-error approaches.
Solution Approach 2:
The system creates virtual copies of the physical network environment through digital twins and simulation models. These virtual representations allow for testing and evaluation of deployment scenarios without physically deploying actual cell sites, significantly reducing the time and resources required for network planning and optimization.
2Reliability
If new cell sites are added to increase network capacity, then network capacity is improved, but capacity distribution becomes uneven creating zones of poor performance
Solution Approach 1:
The system evaluates the local impact of potential cell sites on specific geographic areas and network performance metrics. By analyzing signal propagation characteristics and existing network conditions in different zones, the system identifies locations that will provide uniform capacity distribution across the entire service area, preventing creation of performance poor zones while maintaining overall network capacity improvement.
3Ease of operation
If deployment plans are evaluated through traditional methods, then implementation is straightforward, but accuracy in determining positive and negative effects is reduced
Solution Approach 1:
The system replaces traditional manual or simplified evaluation methods with automated computational models. Signal propagation models and network simulation algorithms automatically calculate the impact of deployment plans on various KPIs, providing precise quantitative predictions of both positive and negative effects without requiring complex manual analysis or field measurements.
Data Source
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AI summary
A computer-implemented method for determining the impact of a cell site deployment plan on a telecommunications network, the method comprising: obtaining a map of baseline network performance of the telecommunications network in a target area; obtaining a deployment plan for the telecommunications network in the target area, wherein the deployment plan comprises a plurality of potential cell sites; generating, using a model, a signal propagation map for each of the plurality of potential cell sites; generating a map of predicted network performance of the telecommunications network after deployment of the deployment plan based on combining the map of baseline network performance and the plurality of signal propagation maps; determining an impact of the deployment plan by performing a comparison between the baseline network performance and predicted network performance.