Proximity Assisted Positioning for User Equipment Accuracy
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Solution Overview
Problem
Existing 3GPP-based positioning technologies face challenges in achieving high location accuracy for user equipment (UE) due to limitations in network environment conditions, such as poor signal strength and limited network device capabilities.
Innovation Solution
The proposed solution involves utilizing proximity-based services by leveraging assisted positioning information from a proximal UE to enhance the positioning capability of a target UE, where the network device combines self-positioning information with assisted positioning information to improve location accuracy.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If traditional 3GPP-based positioning technology is used, then the positioning process is simple, but the location accuracy is insufficient
Solution Approach 1:
The patent combines traditional self-positioning information with assisted positioning information from proximal UEs to achieve higher location accuracy. The network device integrates multiple positioning data sources including self-positioning results and assistance results from neighboring UEs, merging these information sources to resolve the contradiction between accuracy and complexity.
Solution Approach 2:
The patent introduces proximal UEs as intermediaries to provide assisted positioning information. These proximal UEs act as mediators between the target UE and the network device, enabling improved positioning accuracy through indirect measurement assistance while managing system complexity through selective participation.
2Measurement precision
If assisted positioning from proximal UE is implemented, then location accuracy is improved, but system complexity increases
Solution Approach 1:
The patent segments the positioning process into distinct phases: self-positioning phase where the target UE determines its own location, and assisted positioning phase where proximal UEs provide assistance. This segmentation allows the system to achieve high accuracy through multiple measurement sources while managing complexity by organizing operations into separate, manageable stages.
Solution Approach 2:
The patent implements partial assisted positioning where only certain proximal UEs that meet specific conditions participate in the positioning process. Not all neighboring UEs are required to assist, which reduces system complexity while still achieving improved accuracy through selective involvement of capable proximal UEs.
3Reliability
If multiple positioning methods are combined, then positioning capability is enhanced, but processing time increases
Solution Approach 1:
The patent performs self-positioning first to obtain preliminary positioning information before initiating assisted positioning. This preliminary action provides a baseline location estimate that can be refined using assistance data from proximal UEs, reducing the overall processing time required to achieve high-accuracy positioning while maintaining reliability.
Data Source
AI summary
A positioning method, a user equipment and a network device provided by the present disclosure realize positioning of the user equipment by combining proximity based services, where the network device receives a location service request for a target UE; if it is determined that the target UE supports a proximity assisted positioning function and the network device determines to trigger an assisted positioning process for the target UE, the network device obtains self-positioning information of the target UE and assisted positioning information, and performs positioning processing on the target UE according to the self-positioning information of the target UE and the assisted positioning information to obtain a positioning result, where the assisted positioning information is information obtained by a proximal UE performing assisted positioning measurement on the target UE. Compared with the prior art, the positioning technology provided by the present disclosure takes the assisted positioning information into account during positioning processing, and its positioning capability is stronger and the accuracy is higher.