Cell Identification via RSRP Ranking for Interference Reduction
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Solution Overview
Problem
Existing cellular networks face challenges in managing interference between cells, particularly internal interference from cells operated by the same vendor and external interference from cells operated by different vendors, leading to issues such as call dropping, handover failures, and reduced throughput.
Innovation Solution
A Server Cell Identification (SCI) system that analyzes geo-located data to identify cells within grids, determine Received Signal Received Power (RSRP) values, and rank cells based on data samples and median RSRP. The system labels the highest-ranking cell as a Main Server (MS) and other cells as Non-main Servers (NS), and determines whether interference is internal or external to optimize cell coverage and reduce interference.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Area of stationary object
If cells operate with high power to extend coverage area, then coverage area is improved, but interference between cells increases
Solution Approach 1:
The patent applies local quality by differentiating between main serving cells and non-main serving cells within the same geographical area. The system identifies and prioritizes one dominant cell (main server) per grid while suppressing others (non-main servers), allowing each cell to have different functional roles based on its local characteristics rather than treating all cells uniformly. This resolves the contradiction by enabling coverage extension while locally managing interference through selective cell prioritization.
Solution Approach 2:
The patent changes the parameter of cell identification and ranking by introducing RSRP-based cell ranking metrics. By measuring and comparing RSRP values across multiple cells and dynamically identifying main versus non-main serving cells, the system adjusts network parameters to optimize the balance between coverage area and interference levels. This parameter-based approach allows flexible adaptation to different geographical conditions.
2Productivity
If multiple cells serve the same geographical area to increase capacity, then network capacity is improved, but interference from multiple cells increases
Solution Approach 1:
The patent segments the serving cell population into distinct categories: main serving cells and non-main serving cells. By dividing the cell hierarchy into primary and secondary roles within each geographical grid, the system enables multiple cells to coexist in the same area without causing excessive interference. This segmentation allows capacity increase through multiple serving cells while maintaining manageable interference levels through structured cell role differentiation.
Solution Approach 2:
The patent introduces an intermediary mechanism through the main server cell that mediates between multiple non-main server cells in the same geographical area. The main server acts as a coordinating entity that manages the interactions and interference among multiple serving cells, enabling the network to maintain high capacity while controlling interference through this intermediary hierarchical structure.
3Reliability
If cell coverage overlap is increased to improve handover reliability, then handover reliability is improved, but interference and call dropping increase
Solution Approach 1:
The patent applies dynamics by making the cell serving relationship flexible and adaptive rather than static. The system dynamically identifies main and non-main serving cells based on real-time RSRP measurements and geographical conditions. This dynamic approach allows the network to optimize handover reliability by having flexible coverage overlap while adapting to changing conditions, thereby reducing interference and call dropping that would occur with fixed overlapping coverage configurations.
Data Source
AI summary
Method and apparatus for serving cell identification includes: receiving inputs that include geo-located data collected over a period for a plurality of cells in RAN; determining each cell included in each grid of a predetermined size based on the geo-located data; determining Received Signal Received Power (RSRP) values for each cell having the predetermined size; determining a median cell RSRP for each cell of a grid; determining from the geo-located data a number of data samples per cell for each grid having the predetermined size; determining a cell ranking for each of the cell in the grids having the predetermined size based on the number of data samples and the median cell RSRP; determining a highest-ranking cell in each grid based on the cell ranking; labeling the highest-ranking cell as a Main Server (MS); and labeling all other cells in a corresponding grid as a Non-Main Server (NS).