SRS Coherency-Aware Position Estimation in 5G Networks
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Solution Overview
Problem
Existing wireless communication systems, particularly in the context of 5G, face challenges in accurately determining the positioning of user equipment due to inconsistencies in coherent transmission status of sounding reference signals, which affect the precision of location estimation.
Innovation Solution
The method involves performing positioning measurements on sounding reference signals (SRS-P) based on coherency parameters within defined coherency regions, with network components exchanging measurement reports and coherency information to enhance the accuracy of position estimation.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If positioning measurements are performed without considering coherency status, then the positioning process is simpler, but the position estimation accuracy deteriorates
Solution Approach 1:
The positioning measurement process is segmented by dividing coherency regions into different types (first coherency region with first coherency parameter and second coherency region with second coherency parameter). This segmentation allows the system to apply different measurement approaches to different regions, improving position estimation accuracy while managing complexity through structured classification.
Solution Approach 2:
The patent applies parameter changes by using different coherency parameters for different coherency regions. The first coherency parameter and second coherency parameter represent different transmission status conditions, and the measurement process adapts by selecting appropriate parameters based on the region type, thereby improving accuracy without uniformly increasing complexity across all measurements.
2Measurement precision
If coherency information is exchanged between network components, then position estimation accuracy improves, but communication overhead increases
Solution Approach 1:
The patent extracts only the essential coherency information (coherency parameters and coherency region identifiers) needed for accurate positioning, rather than exchanging complete transmission status details. This selective extraction reduces communication overhead while maintaining the accuracy benefits of coherency-aware positioning measurements.
Solution Approach 2:
The system performs partial information exchange by sharing only the necessary coherency parameters and region classifications with the location management function, rather than transmitting all possible signal characteristics. This partial action approach provides sufficient information for accurate positioning while minimizing unnecessary communication overhead.
Data Source
AI summary
Disclosed are techniques for position estimation. In an aspect, a non-serving network component performs positioning measurements based on multiple sets of coherency parameters. In another aspect, a non-serving network component is signaled with respect to coherency information, and performs positioning measurements based on the signaled coherency information. In another aspect, a non-serving network component performs blind detection to determine coherent information, and performs positioning measurements based on the determined coherency information.