Virtual UE Location Modeling for Reflected 5G Positioning
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Solution Overview
Problem
Existing wireless communication systems, particularly in the context of 5G, face challenges in accurately determining and utilizing virtual target locations for improved location-dependent services such as beamforming and interference management, as they primarily rely on physical location information.
Innovation Solution
A method and system for determining and reporting virtual target locations by obtaining and processing positioning measurements from transmission-reception points (TRPs) to derive both physical and virtual locations of user equipment (UE), enabling enhanced location-dependent services.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If only physical locations are determined based on reference signals, then positioning simplicity is maintained, but location accuracy is insufficient due to unaccounted signal reflections
Solution Approach 1:
The patent creates virtual locations by copying and inverting the physical location data through signal reflection modeling. The positioning entity generates virtual location candidates by reflecting the UE's physical location across virtual TRPs, effectively copying the physical positioning results to account for reflected signal paths without requiring complete redesign of the positioning system.
Solution Approach 2:
The patent transitions from one-dimensional physical location determination to multi-dimensional location analysis by introducing virtual dimensions. The system determines both physical locations and virtual locations (images of physical locations) to comprehensively represent the UE's positioning information, accounting for signal reflections in additional spatial dimensions.
2Reliability
If virtual locations are added to positioning results, then location service accuracy is improved, but information processing complexity increases
Solution Approach 1:
The positioning entity uses measurement reports from the UE containing reference signal received power (RSRP) and reference signal time difference (RTD) data to iteratively determine and refine both physical and virtual locations. The system processes location information by comparing measured values against predicted values from virtual location models, providing feedback to improve positioning accuracy.
Solution Approach 2:
The patent segments the location determination process into distinct components: physical location determination and virtual location determination. The positioning entity separately processes physical TRP locations and virtual TRP locations, handling each component through dedicated processing steps while integrating them for comprehensive location services.
3Adaptability or versatility
If multiple location types are processed simultaneously, then comprehensive positioning is achieved, but computational requirements increase
Solution Approach 1:
The patent applies partial action by determining virtual locations only when necessary for specific location services, rather than always computing both physical and virtual locations. The system can selectively process virtual location information based on the specific service requirements, reducing unnecessary computational energy while maintaining comprehensive positioning capability when needed.
Data Source
AI summary
Disclosed are techniques for positioning. In an aspect, a positioning entity obtains one or more positioning measurements of one or more reference signals transmitted to a user equipment (UE) by one or more transmission-reception points (TRPs), determines one or more physical locations of the UE based, at least in part, on the one or more positioning measurements and locations of the one or more TRPs, and determines one or more virtual locations of the UE based, at least in part, on the one or more positioning measurements and locations of the one or more TRPs, wherein the one or more virtual locations of the UE are images of the one or more physical locations of the UE.