Telecommunication Area Congestion Mapping Across Heterogeneous Cells
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Solution Overview
Problem
Conventional methods are incapable of computing a realistic congestion score for telecommunication deployment areas, which are potentially served by multiple heterogeneous cells, failing to provide accurate insights into congestion levels that vary geo-spatially.
Innovation Solution
A system and method that determine congestion by calculating cell and grid congestion scores based on average throughput and PRB utilization KPIs, collecting spatial measurement samples, and mapping them to spatial grids to compute a weighted average congestion score for the entire area.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If conventional methods compute congestion levels at individual network elements, then congestion can be measured at specific nodes, but the method is incapable of computing a realistic congestion score for arbitrary geographical areas served by multiple heterogeneous cells
Solution Approach 1:
The patent divides the geographical area into multiple spatial grids, each representing a specific region. Within each grid, congestion is calculated based on measurements from multiple cells. This segmentation allows the system to handle complex multi-cell areas by breaking them down into manageable units, enabling accurate congestion scoring for arbitrary geographical regions while maintaining computational feasibility through systematic processing of each grid independently.
2Reliability
If the area is served by multiple heterogeneous cells, then coverage and capacity are improved, but congestion varies geo-spatially and becomes difficult to measure accurately
Solution Approach 1:
The patent calculates congestion scores at the spatial grid level, where each grid can have its own congestion characteristics. By computing congestion for each spatial grid independently based on local cell measurements, the system captures geo-spatial variations in congestion. This allows different regions with different cell compositions to be measured accurately according to their local conditions, while the overall area congestion is derived by aggregating grid-level results.
Data Source
AI summary
Present disclosure generally relates to wireless communication, more particularly to system and method for determining congestion in telecommunication deployment area. System determines, for pre-defined time interval, cell congestion score of each cell in telecommunication deployment area, based on average throughput value of each cell and/or PRB utilization KPI values of each cell. System collects, from each cell, spatial measurement samples corresponding to voice service session and/or data service session initiated by UE connected to each cell. System spatially maps collected spatial measurement samples to spatial grid of predefined size in area. System determines grid congestion score, by computing weighted average of sample congestion scores corresponding to individual spatial measurement samples which are mapped to corresponding spatial grid, and determines area congestion score of area, based on grid congestion score, and averaging of cell congestion score and grid congestion score in area. System outputs overall congestion score of area.