Positioning Signal Subsampling Configurations for Multipath Accuracy
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Existing wireless positioning systems in 5G NR lack efficient methods for selecting and applying subsampling configurations, leading to inaccuracies and reduced reliability in positioning calculations.
Innovation Solution
Wireless devices and network entities can select from a plurality of subsampling configurations to measure and calculate a subset of positioning signals, using methods like truncating channel frequency responses or selecting samples based on power or magnitude thresholds, and output these measurements to a positioning model for improved accuracy.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If subsampling configurations are applied to positioning signals, then positioning accuracy is improved, but device complexity increases
Solution Approach 1:
The patent segments the positioning signal processing by introducing multiple subsampling configurations, where each configuration processes a specific subset of measurement samples. This segmentation allows the system to handle complex positioning data through manageable portions, improving accuracy while controlling complexity through structured processing divisions.
Solution Approach 2:
The patent applies parameter changes by varying subsampling parameters (such as subsampling factors and configuration indices) to process positioning signals differently. By changing these parameters across multiple configurations, the system adapts to different signal conditions and improves positioning accuracy without requiring a single complex processing approach.
2Adaptability or versatility
If multiple subsampling configurations are used, then adaptability to different multipath environments is improved, but measurement processing time increases
Solution Approach 1:
The patent applies preliminary action by pre-configuring multiple subsampling configurations before actual positioning measurements are taken. These configurations are prepared in advance with different subsampling parameters, allowing the system to quickly adapt to various multipath environments without performing complex calculations during the measurement process itself.
Solution Approach 2:
The patent uses partial action by selecting and processing only the necessary subset of measurement samples through subsampling, rather than processing all available data. This partial processing approach reduces measurement processing time while maintaining adaptability to different multipath environments through strategic sample selection.
Data Source
AI summary
A network entity, such as a location management function (LMF), may transmit an indicator of a plurality of subsampling configurations. A wireless device, such as a user equipment (UE), a base station, or a transmission reception point (TRP), may receive the indicator of the plurality of subsampling configurations. The wireless device may select a subsampling configuration from a plurality of subsampling configurations. The wireless device may receive a set of positioning signals. The wireless device may measure the received set of positioning signals. The wireless device may calculate a subset of measurements of the measured set of positioning signals based on the selected subsampling configuration. The wireless device may output the calculated subset of measurements to a positioning model.