Uplink Reciprocity Measurement Model for Downlink Beam Positioning
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Solution Overview
Problem
Current wireless communication systems face challenges in efficiently utilizing uplink signals for improving downlink beamforming and positioning accuracy, particularly in scenarios with limited base station availability and non-line-of-sight links.
Innovation Solution
The method involves obtaining measurement information from uplink signals that have reciprocity with downlink beams, determining a measurement model based on this information, and providing this model to user equipment (UE) for processing signals associated with the downlink beams.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If uplink signals are used for downlink beamforming, then positioning accuracy is improved, but measurement precision deteriorates due to limited base station availability and non-line-of-sight links
Solution Approach 1:
The patent introduces measurement models as intermediaries that process uplink signal measurements from multiple base stations. These models include path loss models, angle of arrival models, and time of arrival models that collectively compensate for individual base station unavailability or non-line-of-sight conditions, enabling accurate positioning through aggregated measurement data
Solution Approach 2:
The patent transforms raw uplink signal measurements into meaningful positioning parameters by applying measurement models. The models convert signal strength, arrival time, and angle data into position estimates, effectively changing the parameters from raw measurements to interpretable positioning information that maintains accuracy even when individual measurements are degraded
2Measurement precision
If measurement models are determined from uplink signals, then signal processing accuracy is improved, but device complexity increases
Solution Approach 1:
The patent divides the measurement model into separate, specialized models for different measurement types: path loss models for signal strength, angle of arrival models for directional information, and time of arrival models for distance estimation. This segmentation allows each model to be optimized independently and simplifies the overall system by breaking down complex positioning into manageable measurement components
Solution Approach 2:
The measurement models are designed to be universally applicable across different uplink signal types and propagation conditions. The same model framework handles both line-of-sight and non-line-of-sight scenarios, as well as multiple base station configurations, reducing the need for device-specific or scenario-specific model variations
Data Source
AI summary
In an aspect, a network component (e.g., BS, server, etc.) obtains measurement information associated with uplink signal(s) from UE(s), with the uplink signal(s) having reciprocity with one or more downlink beams of wireless node(s) (e.g., TRP, reference UE, etc.). The network component determines (e.g., generates or refines) a measurement (e.g., RFFP-P) model based on the measurement information. The network component provides the measurement (e.g., RFFP-P) model to a target UE. The target UE receives at least one signal (e.g., PRS) on the one or more downlink beams from the wireless node(s). The target UE processes the at least one signal (e.g., predicts target UE location) based at least in part on the measurement (e.g., RFFP-P) model.