Industrial IoT Positioning Integrity with Hybrid Methods
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Solution Overview
Problem
Current positioning systems in LTE and NR lack functionality and signaling support for positioning integrity control, especially in Industrial Internet of Things (I-IoT) scenarios, which require high accuracy, low latency, and high availability, and do not account for uncertainty models suitable for I-IoT environments.
Innovation Solution
Methods and systems are developed to define and manage positioning integrity in I-IoT environments by determining availability and integrity levels, using hybrid positioning techniques, dynamic adaptation of integrity levels, and encoding uncertainty with fewer bits, enabling flexible integrity transitions, and reporting statistics for improved positioning performance.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If traditional positioning methods (Cell ID, GNSS, OTDOA) are used in I-IoT environments, then basic positioning functionality is provided, but positioning accuracy and reliability are insufficient for high-precision industrial applications
Solution Approach 1:
The positioning system is segmented into multiple independent positioning methods (DL-PRS based positioning, UL-SRS based positioning, multi-RAT positioning) that can be individually evaluated for integrity. Each positioning method's uncertainty is separately determined and reported, allowing selective use of methods meeting integrity requirements.
Solution Approach 2:
The system dynamically adapts positioning methods and integrity levels based on current environmental conditions, device capabilities, and service requirements. The network can dynamically select between different positioning methods (DL-PRS, UL-SRS, GNSS) and adjust uncertainty determination approaches (statistical, deterministic, hybrid) to maintain required integrity levels.
2Reliability
If more positioning methods and features are added to support I-IoT requirements, then positioning performance improves, but system complexity increases
Solution Approach 1:
The uncertainty determination framework is designed as a universal mechanism applicable to all positioning methods (DL-PRS, UL-SRS, GNSS, multi-RAT). The same core principles (statistical uncertainty, deterministic uncertainty, hybrid uncertainty) are used across different positioning technologies, reducing the need for method-specific complexity while maintaining comprehensive support.
Solution Approach 2:
The system manages complexity by parameterizing uncertainty characteristics (standard deviation, bias, confidence levels) rather than implementing separate complex validation logic for each positioning method. The network can adjust uncertainty parameters dynamically based on service requirements without changing the underlying positioning architecture.
3Reliability
If integrity validation and reporting mechanisms are implemented, then positioning reliability improves, but signaling overhead and processing time increase
Solution Approach 1:
The system performs preliminary uncertainty determination and integrity validation during positioning setup and configuration phases, before actual positioning is required. The network pre-evaluates available positioning methods and their expected uncertainty characteristics, so that when positioning is needed, the device can quickly select an appropriate method without performing extensive real-time validation.
Solution Approach 2:
The system implements continuous feedback mechanisms where positioning uncertainty and integrity information are reported back to the network, which then adjusts positioning configurations and method selections. This feedback loop enables the system to learn from past positioning performance and optimize future positioning operations, reducing latency over time.
Data Source
AI summary
A method performed by a wireless device in an Industrial Internet of Things (I-IoT) environment includes determining an availability level of a network and/or an integrity level of a positioning service and/or system at the wireless device. Based on the availability level of the network and/or the integrity level of the positioning service and/or system at the wireless device, the wireless device performs at least one action associated with the positioning service and/or system.