Mobile-Object Matching Using Area Segmentation and Position Sensing
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Solution Overview
Problem
Current perception-assisted communication technologies fail to match sensed data with individual users, preventing telecom operators from providing personalized services.
Innovation Solution
A method and electronic device that utilize positioning and sensing modules to determine the location of mobile devices and objects, employing channel measurements, relative distances, and acceleration information to accurately match mobile devices with objects, even in areas with multiple devices or objects, and provide personalized services based on these matches.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If perception-assisted communication technologies are implemented, then communication quality can be improved through environmental sensing, but the ability to match sensed data with individual users is lost
Solution Approach 1:
The patent segments the coverage area into multiple sub-areas and performs matching within each sub-area rather than system-wide. This segmentation enables the system to match mobile devices with objects in a decentralized manner, preserving user-specific information while maintaining communication quality improvements from environmental sensing.
Solution Approach 2:
The patent implements local matching by determining which mobile devices and objects are located in the same sub-area, then performing matching only for those within the same local region. This local quality approach ensures that sensed data is matched with the correct individual users based on their specific location, preventing information loss while maintaining communication reliability.
2Measurement precision
If multiple mobile devices or objects are located in the same area, then the complexity of matching increases, but accurate matching can still be achieved
Solution Approach 1:
By dividing the coverage area into multiple sub-areas, the patent reduces the number of mobile devices and objects that need to be matched within each sub-area. This segmentation simplifies the matching process while maintaining high matching accuracy, as devices and objects are more likely to be the only ones in their respective sub-areas.
Solution Approach 2:
The patent introduces a spatial dimension by using sub-area division as an additional layer of organization beyond simple device identification. This dimensional approach (grouping by location rather than just by ID) reduces matching complexity while preserving accuracy, as it adds a geographical filter to the matching process.
Data Source
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AI summary
A method and an electronic device (100) of matching a mobile device (200) with an object are provided. The method includes: receiving first positioning information of a first mobile device (200) and first sensed information of a first object; determining whether the first mobile device (200) and the first object are located in a first area (A, B, C, D, E, F, G, H, I, J, K, L, M, N, O, P) according to the first positioning information and the first sensed information; in response to determining the first mobile device (200) and the first object are located in the first area (A, B, C, D, E, F, G, H, I, J, K, L, M, N, O, P), matching the first mobile device (200) with the first object to generate a matching result; and outputting the matching result.