Mobile Device-Object Matching Using Position and Sensing Data
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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 awareness, but the ability to match sensed data with individual users is lost
Solution Approach 1:
The patent segments the sensed objects into different categories: mobile devices (user-related objects) and non-mobile devices (environmental objects). By separating user-related perception data from general environmental data, the system can selectively process and match only the relevant mobile device data with user profiles, thereby maintaining user identification capability while still benefiting from environmental awareness for communication quality improvement.
Solution Approach 2:
The patent introduces mobile devices as intermediary objects between the sensing system and users. The sensing system detects mobile devices, which serve as proxies for their users. By matching sensed mobile devices with user profiles through device identification and location data, the system indirectly identifies users without directly sensing users themselves, thus preserving user identification capability while using perception-assisted communication technologies.
2Area of stationary object
If multiple mobile devices or objects are located in the same area, then coverage is improved, but accurate matching between devices and objects becomes difficult
Solution Approach 1:
The patent extends the matching process from two-dimensional spatial coordinates to three-dimensional space by incorporating elevation data and device orientation (azimuth and pitch angles). When multiple devices are in the same horizontal area, the system uses vertical dimension (elevation) and angular dimensions (orientation) to differentiate and accurately match devices with their corresponding objects, thereby maintaining high matching accuracy in densely populated areas.
Solution Approach 2:
The patent changes the parameters used for matching from basic location coordinates to a comprehensive set including location, elevation, device orientation (azimuth and pitch), and signal characteristics. By enriching the parameter set, the system can distinguish between multiple devices in the same area and achieve accurate matching even when spatial separation is minimal.
Data Source
AI summary
A method and an electronic device of matching a mobile device with an object are provided. The method includes: receiving first positioning information of a first mobile device and first sensed information of a first object; determining whether the first mobile device and the first object are located in a first area according to the first positioning information and the first sensed information; in response to determining the first mobile device and the first object are located in the first area, matching the first mobile device with the first object to generate a matching result; and outputting the matching result.