RFFP Bandwidth Aggregation for More Accurate 5G Positioning
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Solution Overview
Problem
Existing wireless communication systems, particularly in the context of 5G, face challenges in achieving highly accurate positioning due to limitations in measuring and processing radio frequency fingerprinting (RFFP) signals across different bandwidth segments, which affects the precision of location estimation.
Innovation Solution
The method involves measuring multiple bandwidth segments of reference signals over various occasions during a positioning session, aggregating these measurements, and applying a positioning model or latent feature machine learning (ML) model to obtain accurate positioning parameters.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If RFFP measurements are performed using reference signals with varying bandwidth and occasions, then positioning coverage and adaptability are improved, but measurement precision and location accuracy deteriorate
Solution Approach 1:
The reference signal bandwidth is divided into multiple bandwidth segments, and measurements are performed across different RS occasions. This segmentation allows the system to capture positioning information from multiple frequency segments and time occasions, improving adaptability to varying network conditions while maintaining precision through comprehensive data collection.
Solution Approach 2:
Multiple RFFP measurements from different bandwidth segments and RS occasions are aggregated to form a comprehensive positioning dataset. This merging of measurement data allows the system to compensate for variations in individual measurements and improve overall location accuracy while maintaining adaptability to different network configurations.
2Reliability
If multiple bandwidth segments and RS occasions are measured, then positioning robustness is improved, but measurement time and processing complexity increase
Solution Approach 1:
The system performs measurements across multiple bandwidth segments and RS occasions in advance during the positioning session setup. By preparing and aggregating these measurements beforehand, the system builds a robust positioning database that can be quickly queried during actual positioning operations, reducing real-time measurement time while maintaining robustness.
Solution Approach 2:
Instead of performing complex real-time processing for each individual measurement, the system creates aggregated representations (copies) of the measurement data that capture the essential positioning information. These aggregated measurements serve as simplified models that can be processed quickly while maintaining the robustness derived from the original multi-segment, multi-occasion measurements.
3Measurement precision
If RFFP measurements are aggregated from multiple sources, then positioning accuracy is improved, but device complexity and processing requirements increase
Solution Approach 1:
The patent introduces an intermediary processing layer that aggregates and pre-processes measurements from multiple bandwidth segments and RS occasions into consolidated positioning data structures. This intermediary layer simplifies the final positioning computation by providing pre-aggregated measurements that can be directly used for location determination, reducing the processing complexity at the UE while maintaining high accuracy.
Data Source
AI summary
In an aspect, a method of wireless communication performed by a user equipment (UE) includes measuring a plurality of different bandwidth segments of a reference signal (RS) over a corresponding plurality of different RS occasions during a positioning session to obtain a plurality of radio frequency fingerprint positioning (RFFP) measurements corresponding to the plurality of different bandwidth segments; aggregating the plurality of RFFP measurements to provide at least one aggregated RFFP measurement; and applying a positioning model to the at least one aggregated RFFP measurement to obtain an estimate of one or more positioning parameters associated with a location of the UE.