RIS-Enabled Full-Duplex UE Self-Localization With Scheduled Reflections
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Solution Overview
Problem
Existing wireless communication systems face challenges in achieving highly accurate positioning due to limitations in reference signal processing and technology, particularly in 5G networks, which affect the precision of user equipment localization.
Innovation Solution
The implementation of reconfigurable intelligent surfaces (RIS) that can dynamically adjust their reflection phases and activation times to enhance the reception and transmission of reference signals for user equipment (UE) during self-localization positioning sessions, allowing for improved signal reflection and better positioning accuracy.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If reconfigurable intelligent surfaces (RIS) are introduced to enhance positioning accuracy, then measurement precision is improved, but device complexity increases
Solution Approach 1:
The RIS acts as an intermediary element between the UE and the base station, providing additional reference signal paths without requiring fundamental changes to the core positioning architecture. The RIS reflects reference signals to create virtual base station locations, improving measurement precision while adding manageable complexity through standardized RIS modules
Solution Approach 2:
The system utilizes parameter changes in the RIS reflection schedule, specifically adjusting reflection phases and activation times, to optimize positioning without changing the fundamental system architecture. By dynamically adjusting these parameters, the system achieves improved positioning accuracy through controlled variations in signal reflection characteristics
2Measurement precision
If RIS reflection phases are dynamically adjusted to improve signal reception, then measurement precision is improved, but device complexity increases
Solution Approach 1:
The RIS reflection phases are made dynamic rather than fixed, allowing the system to adapt to different positioning scenarios. The reflection schedule can be updated based on UE location and signal conditions, providing flexible control that improves positioning accuracy while managing complexity through algorithmic optimization
Solution Approach 2:
The system implements feedback mechanisms where the UE reports positioning information and signal quality metrics, which are then used to optimize the RIS reflection schedule. This closed-loop approach enables continuous improvement of positioning accuracy while the feedback information guides intelligent control decisions
3Measurement precision
If multiple RIS are coordinated for self-localization positioning, then measurement precision is improved, but device complexity increases
Solution Approach 1:
The positioning system is segmented into independent RIS modules, each capable of reflecting reference signals independently. This segmentation allows multiple RIS to be coordinated through standardized interfaces and protocols, distributing the complexity across independent units rather than requiring centralized coordination of the entire system
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 by optimizing the use of RIS to reflect and schedule reference signals, thereby improving the precision of user equipment localization in 5G networks.
Implementation Method 1
receiving a reflection schedule for at least one RIS of the one or more RIS, wherein the reflection schedule indicates one or more reflection phases of the at least one RIS for reflecting the one or more RS transmitted by the UE
Data Source
AI summary
In an aspect, a user equipment (UE) may obtain an indication of one or more reconfigurable intelligent surfaces (RIS) for use during a self-localization positioning session. The UE may receive a reference signal (RS) configuration for transmitting one or more RS for the self-localization positioning session. The UE may receive a reflection schedule for at least one RIS of the one or more RIS, wherein the reflection schedule indicates one or more reflection phases of the at least one RIS for reflecting the one or more RS transmitted by the UE and corresponding times at which each reflection phase of the one or more reflection phases is activated at the at least one RIS.