Positioning Measurement Feedback Compression in 5G Networks
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Solution Overview
Problem
Current wireless communication systems face challenges in efficiently generating positioning resource measurement feedback, which can consume significant resources due to the need to report multiple time of arrival measurements from multiple base stations, especially in next-generation networks like 5G.
Innovation Solution
The system optimizes positioning resource measurement feedback by selecting a reference PRS resource and using bitmaps or strings to indicate whether RSTD reports are at the set level or not, reducing unnecessary reporting by grouping similar measurements and only transmitting significant values, thereby minimizing resource usage.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If multiple time of arrival measurements from multiple base stations are reported, then positioning accuracy is improved, but resource consumption increases
Solution Approach 1:
The patent segments the positioning measurement report into multiple parts, where only significant RSTD values are reported individually while other values are inferred through bitmap indicators. This segmentation allows the system to maintain positioning accuracy by reporting critical measurements while reducing overall resource consumption by eliminating redundant reports.
Solution Approach 2:
The patent extracts only the most significant RSTD measurements for explicit reporting, while using bitmap indicators to represent less critical measurements. This extraction approach ensures that the most important positioning data is transmitted for accurate location determination, while reducing the quantity of transmitted data to minimize resource consumption.
2Measurement precision
If all RSTD measurements are reported individually, then positioning accuracy is maintained, but reporting overhead increases
Solution Approach 1:
The patent merges multiple RSTD measurement reports into a compact format by combining individual significant RSTD values with bitmap indicators. This merging reduces reporting overhead by eliminating redundant transmissions while maintaining positioning accuracy through the selective reporting of critical measurements and efficient encoding of others.
3Quantity of substance
If measurement feedback is compressed, then resource usage is reduced, but measurement precision may be affected
Solution Approach 1:
The patent applies local quality by differentiating between significant and non-significant RSTD measurements, reporting the former with high precision and the latter through compact bitmap indicators. This differentiated approach reduces overall resource usage while maintaining positioning accuracy by ensuring that critical measurements are transmitted with sufficient precision.
Solution Approach 2:
The patent changes the representation parameter of RSTD measurements based on their significance level, using full precision for critical values and compressed bitmap encoding for others. This parameter change strategy reduces resource usage through efficient data compression while preserving positioning accuracy by maintaining high precision for measurements that most impact location determination.
Data Source
AI summary
In various aspects, a system that comprises requesting a positioning measurement data set from one or more network node devices; receiving a positioning measurement data set, determining a time of arrival value for each positioning measurement data of the positioning measurement data set; generating a positioning measurement report comprising a group of positioning measurement report elements determined as having fulfilled a predetermined criterion; and transmitting the positioning measurement report, wherein the positioning measurement report comprises a first portion and a second portion.