IRS Position and Orientation Determination via UE Estimates
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Solution Overview
Problem
Current wireless communication systems face challenges in accurately determining the position and orientation of intelligent reflecting surfaces (IRS) in 5G networks, which is crucial for enhancing positioning accuracy and coverage.
Innovation Solution
A method and system for operating a position estimation entity that determines a set of position estimates for user equipments (UEs) and uses measurement information from signals reflected off a target IRS to calculate its position and orientation relative to a common reference frame.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If IRS position and orientation determination methods are implemented in 5G networks, then positioning accuracy and coverage are enhanced, but system complexity and measurement requirements increase
Solution Approach 1:
The patent introduces a position estimation entity as an intermediary component that centralizes the complex task of determining IRS position and orientation. This entity receives measurement information from multiple UEs and base stations, processes the data, and calculates the IRS parameters, thereby distributing system complexity to a dedicated component rather than requiring all network elements to perform these calculations
Solution Approach 2:
The position estimation entity serves multiple functions: it estimates positions of UEs, determines IRS position, calculates IRS orientation, and provides measurement information processing. By consolidating these diverse functions into a single entity, the system manages complexity while achieving enhanced positioning accuracy and coverage
2Measurement precision
If measurement information from multiple UEs is collected for IRS positioning, then positioning accuracy improves, but information processing requirements and time increase
Solution Approach 1:
The system performs preliminary position estimation for UEs using measurement information before using these position estimates to determine IRS position and orientation. This staged approach allows preprocessing of UE position data, which simplifies subsequent IRS parameter calculation and reduces overall processing time
Solution Approach 2:
The position estimation entity uses feedback from multiple measurement sources (UEs and base stations) to iteratively refine position and orientation estimates. By incorporating feedback from various measurement information sources, the system achieves higher accuracy while distributing the processing load across multiple measurement cycles
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
This approach simplifies the installation of IRSs, broadens coverage for IRS-aided communication and position estimation, and enhances the accuracy of positioning in 5G wireless communication systems.
Implementation Method 1
obtain first measurement information associated with a set of signals as reflected off of a target intelligent reflecting surface (IRS)
Data Source
AI summary
Disclosed are techniques for wireless communication. In an aspect, a position estimation entity determines a set of position estimates associated with a set of user equipments (UEs), obtains first measurement information associated with a set of signals as reflected off of a target intelligent reflecting surface (IRS), determines a position estimate of the target IRS based on the set of position estimates and the first measurement information, and determines an orientation, relative to a common orientation reference frame, of the target IRS based on the set of position estimates and at least the first measurement information.