Cell-Level Mobile Data Distribution Using Position Estimate Weighting
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Solution Overview
Problem
Existing methods for distributing aggregated mobile communication network data from the cell level to the geographic level are unrealistic and result in gross errors due to assumptions of uniform or exponential distribution, failing to accurately reflect the actual geographic position of individuals on the territory, especially at scales smaller than the size of network cells.
Innovation Solution
A method involving a data processing system that subdivides a geographic area into portions, calculates geographic position estimates from mobile terminals, and distributes cell-level aggregated data based on these estimates, using a distribution factor that considers the number of position estimates within each area portion, generating a distribution map that accurately reflects the geographic position of individuals.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of manufacture
If uniform or exponential distribution functions are used to distribute cell-level aggregated data across the territory, then the distribution process is simple and easy to implement, but the accuracy of reflecting actual geographic position of individuals is poor, resulting in gross errors
Solution Approach 1:
The patent introduces mobile terminal position estimates as an intermediary element to bridge the gap between cell-level aggregated data and geographic-level distribution. Instead of directly applying uniform or exponential distribution functions, the method uses actual position estimates from mobile terminals to weight the distribution of aggregated data across geographic area portions, thereby achieving accurate reflection of individual geographic positions while maintaining implementation feasibility through the use of existing positioning infrastructure
Solution Approach 2:
The patent changes the distribution parameter from fixed uniform or exponential functions to dynamic weights based on the number of position estimates in each geographic area portion. This parameter transformation allows the distribution to adapt to actual human presence patterns, converting static mathematical models into dynamic, data-driven distribution weights that reflect real geographic positioning information
2Productivity
If cell-level aggregated data is distributed without considering actual position estimates, then the data processing is straightforward, but the precision of applications such as emergency management, security, and marketing is insufficient
Solution Approach 1:
The patent performs preliminary calculation of position estimates and their distribution across geographic area portions before the actual data distribution process. By pre-computing the number of position estimates in each area portion and using these as distribution weights, the method enables efficient subsequent data distribution operations while ensuring high precision in applications. This preliminary action separates the computationally intensive positioning analysis from the data distribution task, maintaining productivity while enhancing precision
Data Source
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Figure 3A~3B
AI summary
A method, implemented by a data processing system (100), for distributing, across a territory, cell-level aggregated data available from a mobile communication network (105) in a form that is aggregated at the level of single network cells (105b) of the network (105). The method comprises: subdividing a geographic area of interest (300) in geographic area portions (315); causing mobile communication terminals served by the mobile communication network and situated in the geographic area of interest to calculate respective geographic position estimates and provide the calculated geographic position estimates (400b) to the data processing system; distributing an overall number of geographic position estimates received from the mobile communication terminals on the geographic area portions by assigning to each geographic area portion a respective number of geographic position estimates corresponding to geographic positions estimates falling within said geographic area portion; receiving cell-level aggregated data (400a) relating to at least one network cell; for each of said at least one network cell: determining, among the geographic area portions (315), covered geographic area portions falling within a coverage area of the network cell; distributing the cell-level aggregated data of the network cell on each of the determined covered geographic area portions according to a respective distribution factor which depends on the respective number of geographic position estimates assigned to the covered geographic area portion, and generating a distribution map of the cell-level aggregated data in which to each of the geographic area portions of the geographic area of interest (300) a respective quota of the cell-level aggregated data is assigned, the respective quota being obtained by the distribution of the cell-level aggregated data of the network cell on each of the determined covered geographic area portions according to the respective distribution factor.