Radiowave Environment Data Correction via Area Usage Segmentation
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Solution Overview
Problem
Conventional methods for correcting radiowave environment data in urban or indoor areas face significant estimation errors due to complex object arrangements, requiring a large number of measuring points and extensive man-hours, which limits their effectiveness.
Innovation Solution
A radiowave environment data correcting system that divides the peripheral area of a base station into sub-areas based on area usage divisions, using data measurement results from limited points to determine correction data for each sub-area, thereby improving accuracy and reducing measurement time.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If conventional correction methods are used in urban or indoor areas with complex object arrangements, then measurement accuracy can be improved, but the number of measuring points and man-hours required increases significantly
Solution Approach 1:
The peripheral area of the base station is divided into multiple sub-areas based on area usage divisions (e.g., residential, commercial, industrial zones). Correction data is then determined separately for each sub-area using measurement results from limited measuring points within that sub-area. This segmentation allows accurate correction of radiowave environment data without requiring extensive measurements across the entire area, thus reducing man-hours while maintaining precision.
2Measurement precision
If conventional correction methods are used in urban or indoor areas with complex object arrangements, then measurement accuracy can be improved, but the number of measuring points and man-hours required increases significantly
Solution Approach 1:
The peripheral area is segmented into sub-areas based on area usage divisions. Correction data is determined for each sub-area using measurements from limited points within that sub-area. This approach improves productivity by reducing the total number of measurements needed while maintaining correction accuracy, as measurements in one sub-area do not need to cover the entire peripheral area.
Solution Approach 2:
Correction data is determined locally for each sub-area based on its specific characteristics and measurement results from that local area. This local quality approach allows the correction process to be tailored to each sub-area's unique radiowave environment, improving both accuracy and efficiency by focusing measurements only where needed rather than uniformly across the entire peripheral area.
Data Source
AI summary
Radiowave environment data correction that uses the data measurement results obtained at measuring points in a base station peripheral area provided for a wireless communications system, is achieved accurately at a limited number of measuring points. A radiowave environment data correcting system includes correction data determining means that determines correction data for sub-areas, the sub-areas being regions into which an assessment area is divided, on the basis of data measurement results obtained at measuring points belonging to the sub-areas, wherein division into the area is based on an area usage division that is a division predefined according to a particular layout of objects or spaces in the assessment area. The system may also include sub-area dividing means that divides the assessment area into sub-areas in accordance with the area usage division, correction data calculating means that calculates the correction data in the sub-areas using the data measurement results obtained at the measuring points existing in the sub-areas, and radiowave environment data correcting means that uses the calculated correction data to correct radiowave environment data present inside the sub-areas.