Terminal Position Estimation via Signal Reception Comparison
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Solution Overview
Problem
Existing methods for specifying hotspots with a large number of terminals in a cell are inefficient and require specific functions on radio terminals, such as GPS, or labor-intensive field research, making it difficult to accurately determine terminal distribution without additional terminal functionality.
Innovation Solution
An information processing apparatus that compares measured signal reception information from radio terminals with predicted reception information for each local area, aggregating the number of terminals within a predetermined range to estimate terminal positions without relying on specific terminal functions.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If GPS or field research methods are used to specify hotspots, then positional information can be obtained, but additional terminal functions or labor-intensive operations are required
Solution Approach 1:
The patent uses signal reception information as an intermediary to infer terminal positions without requiring GPS functions. Instead of directly measuring position, the system measures signal reception quality from multiple base stations and uses this indirect information to estimate terminal locations and identify hotspots, thereby resolving the contradiction between measurement precision and device complexity
Solution Approach 2:
The patent replaces the mechanical/GPS-based position measurement system with a signal-based estimation system. Instead of using GPS satellites or physical field research, the system substitutes radio signal reception measurements and computational estimation to achieve position identification without requiring additional terminal hardware or manual operations
2Loss of information
If GPS-based position collection is implemented, then terminal positions can be specified, but it requires terminals equipped with GPS functions that cannot be controlled by operators
Solution Approach 1:
The patent makes the hotspot specification method universal by using signal reception information that all radio terminals can provide, regardless of whether they have GPS functions. The system processes measurement information from any terminal that can receive and report signal quality data, making the solution applicable to the entire terminal population without requiring specific terminal types or configurations
3Measurement precision
If field research by travelling test is conducted, then population density can be checked, but it requires manpower and labor and has low accuracy
Solution Approach 1:
The patent implements self-service by having terminals automatically measure and report their own signal reception information without requiring external field research teams. The system collects measurement information from terminals autonomously, processes it to identify hotspots, and generates installation recommendations without human intervention in the data collection process, thereby achieving both high accuracy and high productivity
4Quantity of substance
If load information in units of cells is used, then cell load can be monitored, but it is impossible to specify hotspots in local areas within cells
Solution Approach 1:
The patent applies segmentation by dividing cells into multiple local areas and analyzing terminal distribution at the local area level rather than at the cell level. By segmenting the coverage area and using signal reception information from multiple base stations, the system can identify hotspots in specific local areas within cells, providing detailed terminal distribution information that was previously unavailable
Data Source
AI summary
An information processing apparatus (10) includes a comparison unit (11) for comparing a plurality of pieces of RF measured information (1046) indicating signal reception information measured for each of a plurality of radio terminals (31 to 34) with a plurality of pieces of RF prediction information (1045) predicted as reception information in one radio terminal for each of a plurality of local areas, and an aggregation unit (12) for aggregating the number of radio terminals which have measured the measured information which is within a predetermined range of the prediction information, among the plurality of pieces of measured information, for each of the plurality of local areas.