Mobile Network Cell Weight Factor Calculation
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Solution Overview
Problem
Existing mobile network design and optimization methods fail to effectively account for the interdependencies between cells, leading to suboptimal network performance due to lack of precise calculation of weight factors that consider both distance and antenna direction between base stations.
Innovation Solution
A method to determine a weight factor between cells by calculating a distance factor and an angle factor, using an exponential function with coefficients to weigh the distance and antenna direction, allowing for the optimization of network parameters by processing cells in pairs and prioritizing them based on calculated weight factors.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If existing mobile network design methods are used, then network design can be performed, but network performance is suboptimal due to failure to account for interdependencies between cells
Solution Approach 1:
The method segments the network analysis into cell pairs, calculating weight factors for each pair individually. This segmentation allows precise accounting of interdependencies between specific cells while maintaining overall network performance optimization.
Solution Approach 2:
The invention introduces new parameters (weight factors, distance factors, angle factors) to quantify cell interdependencies. By changing the parameter set used in network design, the method captures previously unaccounted relationships between cells, improving reliability.
2Measurement precision
If weight factors are calculated considering both distance and antenna direction, then network optimization precision is improved, but calculation complexity increases
Solution Approach 1:
The method applies local quality by calculating distance factors and angle factors specifically for each cell pair's geometric relationship. This localized approach improves precision for each pair without requiring complex global recalculations, balancing accuracy with computational feasibility.
Solution Approach 2:
The invention adds a new dimension to weight factor calculation by incorporating antenna direction (angle factor) alongside distance. This dimensional expansion from scalar distance to vector-based distance-angle pairs improves measurement precision while using systematic mathematical approaches to manage complexity.
3Manufacturing precision
If cells are processed in pairs with exponential function calculations, then network parameter determination accuracy is improved, but processing time increases
Solution Approach 1:
The method performs preliminary calculations of distance factors and angle factors for all cell pairs before final weight factor determination. This preliminary action organizes the computational work in advance, improving accuracy through systematic processing while enabling efficient reuse of intermediate results.
Solution Approach 2:
The invention uses exponential functions as mathematical models (copies of real-world signal propagation behavior) to determine weight factors. These functional copies allow accurate parameter determination through computation rather than time-consuming measurements, balancing accuracy with processing efficiency.
Data Source
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AI summary
A method for a mobile network, which mobile network is formed of cells. The method comprises determining (201) a weight factor between two cells of the mobile network, which determination of the weight factor comprises calculating (211) a distance factor between the cells, calculating (212) an angle factor between the cells, and calculating (213) the weight factor between the cells with an exponential function of the distance factor and the angle factor. The weight factors between the cells may be used (202) for determining network parameters of a mobile network.