Location Management Function Measurement Reporting Configuration

Resolve Bottlenecks,
Find Innovative Solutions
Generate Solutions

Solution Overview

Problem

Current communication systems face challenges in efficiently managing location determination for user equipment (UE) and access network nodes, particularly in reducing the overhead of reporting channel state information while maintaining positioning accuracy.

Innovation Solution

The proposed solution involves an apparatus for a location management function that determines a measurement reporting configuration based on conditions such as window size, frequency, and number of windows for reporting valid taps. This configuration is signaled to a reporting apparatus, which selects a second reporting configuration and measures channel state information, ultimately providing a measurement report to the location management function for use in AI and ML models.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Measurement precision

If the reporting apparatus reports all channel state information measurements, then the location determination accuracy is improved, but the signaling overhead and network resource consumption increase

Engineering Contradiction:
Improvelocation determination accuracyVSAvoidsignaling overhead
Core Design Contradiction:
Measurement precisionVSQuantity of substance

Solution Approach 1:

The patent extracts only the essential measurement information needed for location determination. The LMF configures the UE to report specific measurement quantities (such as RSRP, RSTD) rather than all available channel state information. This selective extraction maintains positioning accuracy while significantly reducing the volume of reported data and associated signaling overhead.

Inventive Principle:
Principle #2Taking out (Extraction)

Solution Approach 2:

The patent segments the measurement reporting process into multiple dimensions: different measurement types (RSRP, RSTD, quality metrics), different reporting triggers (event-based, periodic, on-demand), and different location services. This segmentation allows the system to report only relevant measurements for each specific positioning task, reducing overall overhead while maintaining accuracy for each location determination.

Inventive Principle:
Principle #1Segmentation

2Measurement precision

If the reporting frequency is increased to capture dynamic channel conditions, then the location determination accuracy is improved, but the network resource consumption and processing load increase

Engineering Contradiction:
Improvelocation determination accuracyVSAvoidnetwork resource efficiency
Core Design Contradiction:
Measurement precisionVSProductivity

Solution Approach 1:

The patent implements periodic measurement reporting where the LMF configures the UE with specific reporting intervals or triggers. Instead of continuous reporting, measurements are taken and reported periodically or when specific conditions are met (such as when measurements change by a threshold amount). This periodic approach maintains accuracy for dynamic channel conditions while significantly reducing network resource consumption compared to continuous reporting.

Inventive Principle:
Principle #19Periodic action

Solution Approach 2:

The patent enables dynamic adjustment of reporting parameters based on channel conditions and positioning requirements. The LMF can modify reporting frequency, measurement types, and triggers in real-time based on the current positioning accuracy requirements and channel variability. This dynamic adaptation ensures high accuracy when needed while conserving resources during stable conditions.

Inventive Principle:
Principle #15Dynamics

3Measurement precision

If the measurement reporting configuration is highly customized for each UE and location service, then the positioning accuracy is improved, but the device complexity and configuration management burden increase

Engineering Contradiction:
Improvepositioning accuracyVSAvoidconfiguration management complexity
Core Design Contradiction:
Measurement precisionVSDevice complexity

Solution Approach 1:

The patent establishes universal measurement reporting frameworks and standardized measurement quantities that can be applied across multiple UEs and location services. The LMF uses standardized configuration templates for different positioning methods (OTDOA, UTDOA, ECID) that can be replicated and adapted. This universality reduces configuration management complexity while maintaining the ability to achieve high positioning accuracy through standardized best practices.

Inventive Principle:
Principle #6Universality (Multi-functionality)

Solution Approach 2:

The patent enables flexible parameter adjustment within standardized frameworks. Rather than completely custom configurations, the system allows modification of key parameters (reporting thresholds, intervals, measurement quantities) within predefined ranges and options. This approach maintains positioning accuracy through parameter optimization while reducing complexity by constraining choices to standardized options with known performance characteristics.

Inventive Principle:
Principle #35Parameter changes

Data Source

PatentUS20250203567A1Method, apparatus and computer program
Publication Date: 2025.06.19 NOKIA TECHNOLOGIES OY
  • US20250203567A1 patent drawing
  • US20250203567A1 patent drawing
  • US20250203567A1 patent drawing

AI summary

There is provided a method, computer program, and apparatus for performing: determining, based on at least one condition of a reporting apparatus, a first measurement reporting configuration wherein the first measurement reporting configuration comprises at least one of: a list of at least one allowable window size for reporting valid taps, a maximum number of windows for reporting valid taps, or a maximum frequency of reporting measurement information comprising valid taps; signalling, to the reporting apparatus, the first measurement reporting configuration and a request for the reporting apparatus to select a second measurement reporting configuration to be used by the reporting apparatus based on the first measurement reporting configuration; receiving, from the reporting apparatus, a measurement report according to the second measurement reporting configuration; and using at least one value comprised in the measurement report as an input to an artificial intelligence and/or machine learning model.