UE Positioning via Network Node Data Matching
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Solution Overview
Problem
Existing wireless communication methods face challenges in accurately determining the geographic position of user equipment, especially in indoor scenarios where GPS signals are weak, due to signal attenuation, reflection, and scattering, leading to poor positioning results.
Innovation Solution
A method and server for positioning user equipment that collect and match positioning-related information from network nodes with registration address information to create a reference database, using fingerprinting, Gaussian process regression, or propagation model positioning based on current and historical data to determine the user's position.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If conventional positioning methods (enhanced cell ID, TDOA, fingerprinting, A-GPS) are used, then positioning can be performed, but positioning accuracy deteriorates due to signal attenuation, reflection and scattering
Solution Approach 1:
The system collects positioning-related information from multiple network nodes over an extended duration and creates a reference database before actual positioning is needed. This preliminary data collection and database creation enables more accurate positioning by having pre-processed reference data available, compensating for the harmful effects of signal attenuation, reflection and scattering that occur during actual positioning operations.
2Measurement precision
If signal measurements (signal strength, timing) are used for positioning, then positioning can be computed, but positioning results deteriorate due to measurement inexactness
Solution Approach 1:
The system merges positioning-related information from multiple network nodes (e.g., base stations, access points) to create a comprehensive reference database. By combining measurements from multiple sources and locations, the system compensates for individual measurement inexactness and creates more reliable positioning results through data fusion and correlation.
3Measurement precision
If GPS-based positioning is used, then positioning can be obtained, but positioning accuracy deteriorates in indoor scenarios where GPS signals are less detectable
Solution Approach 1:
The system introduces network nodes (base stations, access points, Wi-Fi routers) as intermediary positioning sources that can operate effectively in indoor environments where GPS signals are weak or unavailable. These intermediaries provide alternative positioning references that work reliably indoors, replacing or supplementing GPS-based positioning in scenarios where satellite signals cannot penetrate building structures.
Data Source
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AI summary
Method and server are disclosed for positioning user equipment (UE). According to an embodiment, positioning-related information is collected for each of a plurality of UEs from at least one network node for at least a first duration of time. For each UE, matching positioning-related information is determined that is matched with the UE's registration address related information, wherein the plurality of UE's registration addresses are obtained from a network provider. A reference database is created which contains, for each UE, a reference point comprising the UE's identification (ID), registration address related information and matching positioning-related information. In response to a positioning request, a UE's current positioning-related information is acquired from a network node. The UE is positioned based on its current positioning-related information and the reference database.