Integrity Management Function for Positioning Data Correction
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Current wireless communication networks lack standardized protocols and signaling mechanisms to leverage Positioning Reference Unit (PRU) measurements for enhancing positioning integrity, leading to gaps in identifying the origin of positioning integrity notifications and ineffective error correction in positioning systems.
Innovation Solution
Introduce an Integrity Management Function (IMF) that manages operations for computing integrity results using PRU and gNB measurements, implementing new protocols and signaling between LMF, IMF, PRUs, and gNBs to detect and correct errors in positioning integrity through standardized wireless network operations.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If standardized protocols and signaling mechanisms are introduced to leverage PRU measurements for enhancing positioning integrity, then positioning integrity and reliability are improved, but device complexity and system complexity increase
Solution Approach 1:
The patent introduces an Integrity Management Function (IMF) as a separate network entity that handles positioning integrity checks independently. This segments the positioning system into distinct functional components: positioning estimation, integrity management, and correction distribution. The IMF receives positioning information from multiple sources (LMF, gNBs, PRUs), performs integrity checks, and distributes correction information, thereby improving reliability without requiring complex integration across all system components.
Solution Approach 2:
The IMF acts as an intermediary between the positioning infrastructure (LMF, gNBs, PRUs) and the positioning clients. It mediates the complexity by centralizing integrity check operations and providing a standardized interface for positioning information exchange. The IMF receives positioning information requests, coordinates integrity checks across multiple entities, and distributes correction information, thereby managing system complexity while enhancing positioning integrity.
2Measurement precision
If multiple integrity checks are performed on positioning information from different sources, then positioning accuracy and reliability are improved, but processing time and operational complexity increase
Solution Approach 1:
The system performs integrity checks on positioning information from multiple sources (LMF, gNBs, PRUs) before final position estimation is completed. By conducting these checks preliminarily, the system identifies and corrects integrity issues early in the positioning workflow, preventing time-consuming reprocessing later. The IMF receives positioning information, performs integrity verification, and provides correction information in advance of final positioning calculations.
Solution Approach 2:
The IMF implements a feedback mechanism where integrity check results and correction information are continuously provided back to the positioning system. When integrity issues are detected in positioning information from LMF, gNBs, or PRUs, the IMF generates correction information and feeds it back to the relevant entities. This feedback loop enables real-time correction of positioning data, improving accuracy without requiring complete reprocessing of positioning sequences.
3Reliability
If an Integrity Management Function is introduced to manage operations for computing integrity results, then positioning integrity is enhanced, but network complexity and implementation difficulty increase
Solution Approach 1:
The IMF is designed as a universal network function that can be implemented in existing network infrastructure without requiring completely new hardware or protocols. It leverages existing positioning entities (LMF, gNBs, PRUs) and their established interfaces, adding integrity management capabilities to the existing positioning architecture. The IMF can be deployed as a software function or network service, making it adaptable to various network configurations and reducing implementation complexity.
Solution Approach 2:
The IMF performs self-configuration and automatic coordination with positioning entities. When the IMF is deployed, it automatically establishes communication interfaces with LMF, gNBs, and PRUs, and begins performing integrity checks on positioning information flows. The system includes standardized procedures for the IMF to request positioning information, receive responses, perform integrity verification, and distribute correction information without requiring manual configuration of each interaction, thereby easing implementation.
Data Source
AI summary
An apparatus comprising: at least one processor; at least one non-transitory memory storing instructions that, when executed by the at least one processor, cause the apparatus at least to: receive, from a measuring device or a location management function, measuring device positioning information; perform at least one positioning integrity check, based on the measuring device positioning information; determine at least one positioning integrity result based on the at least one positioning integrity check; wherein the at least one positioning integrity result comprises at least one measuring device positioning integrity result and at least one transmission reception point positioning integrity result; transmit, to the measuring device, the at least one measuring device positioning integrity result and the at least one transmission reception point positioning integrity result; determine measuring device correction information, based on the at least one positioning integrity check; and transmit, to the measuring device, the measuring device correction information.


