UE Positioning via Cell Identity Sub-Area Lookup
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Solution Overview
Problem
Existing methods for determining the position of user equipment (UE) within a coverage area of a cell are not sufficiently accurate, particularly when multiple neighbor cells are involved, leading to less precise positioning and potential errors in cell search and handover processes.
Innovation Solution
The method involves using cell identity data to look up a data structure that associates coverage sub-areas with cell identities, including those of serving and neighbor cells, to determine the most likely position of the UE within a coverage sub-area, thereby enhancing positional accuracy without significant additional overhead.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If traditional cell-sector positioning or mixed cell-sector positioning is used, then the positioning process is simple, but the positioning accuracy is insufficient
Solution Approach 1:
The coverage area of the serving cell is divided into multiple coverage sub-areas, each associated with specific cell identities. This segmentation allows the system to determine UE position with higher granularity by identifying which sub-area the UE is in, rather than treating the entire coverage area as a single zone. The data structure stores mappings between cell identities and coverage sub-areas, enabling precise position determination through lookup operations.
2Measurement precision
If more detailed positioning data is collected to improve accuracy, then positioning precision increases, but the data processing overhead increases
Solution Approach 1:
The data structure is pre-configured with associations between cell identities and coverage sub-areas before runtime positioning operations. This preliminary setup allows the system to perform fast lookup operations during actual positioning, rather than performing complex calculations or processing large datasets in real-time. The pre-computed mappings enable rapid determination of UE position with minimal processing overhead.
Data Source
AI summary
Methods, systems, computer-readable media, and apparatuses for determining a UE position within a coverage sub-area of a cell based on cell identity data are presented. In some embodiments, the UE detects one more cell identities, including a cell identity of a serving cell and possibly a cell identity of a neighbor cell of the serving cell. The one or more cell identities are included in cell identity data. The cell identity data is used in a look up of a data structure that associates coverage sub-areas of a coverage area of the serving cell with most likely positions within the coverage sub-areas and with cell identities. The result of the look up indicates that the UE is positioned at a most likely position within a coverage sub-area of the serving cell.