Cellular Network Location Estimation Using NLOS Path Loss Analysis
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Solution Overview
Problem
Conventional 3GPP standards struggle to accurately determine the location of mobile devices in non-line-of-sight conditions, leading to inaccuracies in location estimation and network connectivity issues.
Innovation Solution
A framework that leverages path loss measurements, RTT, AoA, and shadow fading analysis to distinguish between direct and indirect propagation paths, enabling accurate location estimation by discounting non-line-of-sight measurements.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If conventional 3GPP standards are used for location estimation, then network compatibility is maintained, but location accuracy deteriorates in non-line-of-sight conditions
Solution Approach 1:
The patent segments location estimation into two distinct modes: standard 3GPP mode for general compatibility and enhanced mode for high accuracy. The system divides measurement data into line-of-sight and non-line-of-sight categories, applying different processing methods to each segment, thereby resolving the contradiction between maintaining network compatibility and achieving high location accuracy in challenging conditions
Solution Approach 2:
The patent changes key parameters including path loss exponent values, shadow fading standard deviations, and measurement weighting factors based on detected propagation conditions. By dynamically adjusting these parameters according to whether line-of-sight or non-line-of-sight conditions prevail, the system achieves accurate location estimation while maintaining compatibility with existing 3GPP frameworks
2Measurement precision
If all propagation paths are treated equally in location estimation, then calculation simplicity is maintained, but location accuracy deteriorates due to non-line-of-sight errors
Solution Approach 1:
The patent performs preliminary classification of propagation paths before location calculation by analyzing path loss characteristics and shadow fading patterns. This preliminary action identifies which measurements represent line-of-sight conditions and should be weighted more heavily, eliminating the need for complex post-processing and resolving the contradiction between accuracy and calculation complexity
Solution Approach 2:
The patent replaces complex geometric and signal processing methods with a statistically-based approach using path loss models and shadow fading analysis. This substitution simplifies the overall calculation while maintaining high accuracy by leveraging well-established wireless propagation models rather than computationally intensive measurement techniques
3Measurement precision
If path loss measurements are used to distinguish propagation paths, then location accuracy is improved, but energy consumption increases due to additional measurements
Solution Approach 1:
The patent implements partial measurement by selectively performing path loss and shadow fading analysis only when location accuracy requirements demand enhanced precision. The system adjusts the level of measurement detail based on service requirements and environmental conditions, performing full analysis only when necessary, thereby resolving the contradiction between measurement precision and energy consumption
Applied Scientific Principles
This section explains which scientific principles are used to turn an abstract innovation direction into a practical engineering solution.
Function Achieved in This Case
Enhances location accuracy, improving network performance by ensuring reliable location estimation, optimizing resource allocation, and enhancing user experiences through precise location-based services.
Implementation Method 1
A framework that leverages path loss measurements, RTT, AoA, and shadow fading analysis to distinguish between direct and indirect propagation paths
Implementation Method 2
A framework that leverages path loss measurements, RTT, AoA, and shadow fading analysis to distinguish between direct and indirect propagation paths
Data Source
AI summary
Disclosed are systems and methods for a location estimation accuracy framework that operates on and/or in connection with a cellular network(s) to determine and estimate the location of user equipment (e.g., mobile devices) within and/or across cellular networks. The disclosed framework can execute operations that leverage a combination of Cell-ID information, GPS technology, timing measurements, and network-based positioning techniques to deliver accurate location information, enabling a wide range of location-based services and applications. The framework leverages determine path loss values for direct and/or indirect paths between UE and cell sites to determine locations of the UE, for which network services can be based and/or provided.