RIS SRS Reflection Measurement for Accurate UE Positioning
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Solution Overview
Problem
Existing wireless communication systems, particularly in the context of 5G, face challenges in enhancing spectral efficiency and reducing latency, especially in positioning UEs using sounding reference signals (SRS) due to the limitations of conventional reflection and transmission methods.
Innovation Solution
The use of reconfigurable intelligent surfaces (RIS) to measure and reflect SRS signals, enabling the measurement of time of arrival (TOA) from multiple reflections to improve positioning accuracy by incorporating a wireless node and position estimation entity that processes these measurements.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If conventional reflection and transmission methods are used for positioning UEs, then the system structure is simple, but positioning accuracy is insufficient
Solution Approach 1:
The patent introduces reconfigurable intelligent surfaces (RIS) as intermediary elements between the UE and the wireless node. These RIS units reflect and manipulate radio signals to create additional measurement paths, enabling more accurate positioning without requiring direct line-of-sight between the UE and the wireless node. The RIS acts as a mediator that enhances signal availability and positioning precision.
Solution Approach 2:
The patent utilizes multiple spatial dimensions by deploying multiple RIS units at different locations and configurations. By measuring TOA across multiple reflection paths involving different RIS units, the system creates a multi-dimensional measurement space that significantly improves positioning accuracy compared to conventional two-dimensional methods.
2Measurement precision
If multiple SRS signal reflections are measured to improve positioning accuracy, then positioning precision improves, but measurement and processing complexity increases
Solution Approach 1:
The patent segments the positioning measurement process into distinct components: the wireless node transmits SRS signals, multiple RIS units independently reflect these signals, and the wireless node separately measures TOA for each reflection path. This segmentation allows the system to handle complex multi-path measurements in a structured, manageable way, reducing overall measurement complexity while maintaining high positioning accuracy.
Solution Approach 2:
The patent implements feedback mechanisms where the wireless node processes the measured TOA information from multiple SRS reflections and uses this feedback to refine positioning estimates. The position estimation entity receives measurement information and generates positioning estimates, which can be used to进一步优化 subsequent measurements and improve overall system performance.
3Measurement precision
If reconfigurable intelligent surfaces are deployed to enhance positioning, then positioning accuracy improves, but device complexity and deployment cost increase
Solution Approach 1:
The patent designs the RIS units to be multi-functional elements that can serve both positioning purposes and potential future communication functions. By creating a universal platform that can adapt to different applications, the deployment complexity is justified by the versatility and long-term value of the infrastructure, rather than requiring specialized equipment solely for positioning.
Applied Scientific Principles
This section explains which scientific principles are used to turn an abstract innovation direction into a practical engineering solution.
Function Achieved in This Case
Enhances positioning accuracy and efficiency by leveraging RIS to measure and process multiple reflections of SRS signals, thereby improving spectral efficiency and reducing latency in 5G wireless networks.
Implementation Method 1
measuring a second TOA of a reflection of a second SRS-P from the UE off of a first reconfigurable intelligent surface (RIS)
Data Source
AI summary
Disclosed are techniques for communication. In an aspect, a wireless node (e.g., UE or BS) measures a first TOA of a first SRS-P from a UE, a second TOA of a reflection of a second SRS-P from the UE off of a first RIS, and a third TOA of a reflection of a third SRS-P from the UE off of a second RIS. The UE transmits, to a position estimation entity, measurement information based on the first, second and third TOAs. The position estimation entity determines a positioning estimate of the UE based at least in part on the measurement information.