UE Location Data Compression for Bandwidth-Constrained Positioning
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Solution Overview
Problem
Existing positioning methods for mobile devices in resource-constrained environments, such as IoT devices, face challenges in efficiently transmitting location data without compromising accuracy, due to limited battery power and network bandwidth.
Innovation Solution
Implementing techniques like lossless and lossy compression, down-selection, and down-selection filtering to reduce the data set of reference signal source identifiers and strengths, allowing for accurate position estimation with reduced bandwidth usage.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If complete reference signal source identifier data is transmitted for positioning, then location accuracy is improved, but network bandwidth consumption increases
Solution Approach 1:
The patent extracts and transmits only the most relevant reference signal source identifiers that contribute most significantly to positioning accuracy, rather than transmitting complete identifier datasets. This selective extraction reduces network bandwidth consumption while preserving essential location determination capabilities.
Solution Approach 2:
The patent changes the parameter of data representation by compressing reference signal source identifiers into more compact forms and selectively transmitting only those identifiers above a certain significance threshold, thereby reducing the quantity of transmitted data while maintaining positioning precision.
2Measurement precision
If complete reference signal source identifier data is transmitted for positioning, then location accuracy is improved, but battery power consumption increases
Solution Approach 1:
The patent extracts and transmits only the most relevant reference signal source identifiers that contribute most significantly to positioning accuracy, rather than transmitting complete identifier datasets. This selective extraction reduces processing requirements and battery power consumption while preserving essential location determination capabilities.
Solution Approach 2:
The patent applies partial action by transmitting only a subset of reference signal source identifiers that are sufficient for achieving required positioning accuracy, rather than transmitting all available identifiers. This partial transmission reduces both network bandwidth usage and device energy consumption.
3Quantity of substance
If data compression is applied to reference signal source identifiers, then network bandwidth usage is reduced, but data processing complexity increases
Solution Approach 1:
The patent applies preliminary action by pre-compressing and pre-selecting reference signal source identifiers at the transmitting device before transmission. This preliminary processing reduces the complexity of data handling at receiving devices, as the data arrives in a already-optimized format requiring minimal additional processing.
Data Source
AI summary
A method of providing UE location data includes: receiving, at the UE, reference signals each being from a respective one of a plurality of reference signal sources, and each being associated with a corresponding signal strength; obtaining, based on the reference signals, a first signal source data set comprising reference signal source identifiers and corresponding signal strengths for respective ones of the reference signals; producing a second signal source data set by at least one of compressing at least one of the reference signal source identifiers, or down-selecting available identifiers based on a signal strength diversity of the corresponding signal strengths of the first signal source data set, each of the available identifiers comprising one of the reference signal source identifiers or a compressed one of the reference signal source identifiers; and transmitting, from the UE, the second signal source data set.