5G Millimeter Wave Position Sensing for Sub-Meter Location Accuracy
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Solution Overview
Problem
Current 5G wireless networks face challenges in achieving precise location sensing for mobile devices without relying on GPS, especially in scenarios like road damage or vehicle accidents, where accurate location data is crucial for smart transportation infrastructure updates and emergency responses.
Innovation Solution
Implementing positioning enhancements in 5G wireless networks, utilizing millimeter wave-based position sensing to provide highly accurate location data, enabling smart transportation infrastructure to dynamically update traffic and road conditions without additional resources, and coordinate with maintenance or emergency services.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If GPS-based location sensing is used, then location data can be obtained, but the accuracy is insufficient for smart transportation infrastructure applications
Solution Approach 1:
The patent changes the measurement parameters from GPS-based coarse location to 5G NR-based fine location measurement. It introduces new measurement parameters such as time of arrival (TOA), received signal strength indicator (RSSI), and angle of arrival (AOA) using millimeter wave signals, achieving location accuracy from 50 meters down to 1.0 meter or less without relying on GPS infrastructure.
2Measurement precision
If millimeter wave-based position sensing is implemented, then location accuracy improves to 1.0 meter or less, but system complexity increases
Solution Approach 1:
The patent makes the 5G NR wireless communication system multi-functional by enabling it to perform both data communication and precise location sensing using the same millimeter wave infrastructure. The gNB (base station) simultaneously handles communication and positioning functions, eliminating the need for separate GPS receivers and dedicated positioning infrastructure, thus reducing overall system complexity while achieving high accuracy.
3Measurement precision
If high accuracy location data is collected from mobile devices, then smart transportation infrastructure can be updated, but data transmission requirements increase
Solution Approach 1:
The patent extracts only the essential location measurement parameters (TOA, RSSI, AOA) from the mobile devices and transmits them to the transportation infrastructure server, rather than transmitting complete GPS location data or unnecessary information. This selective extraction minimizes data transmission volume while maintaining the required 1.0 meter or less location accuracy for smart transportation applications.
Data Source
AI summary
Described is accurate reporting of transportation-related incidents based on the wireless network positioning enhancements that can locate a device on the order of one meter or less. Upon encountering an incident, such as sensed road damage, an accident or another vehicle that is possibly in distress, a report is automatically generated and wirelessly sent to a smart transportation infrastructure server. The report includes or is augmented by the wireless network with accurate incident location data, along with incident type (e.g., pothole, or accident). Depending on the type of incident, the smart transportation infrastructure server can take appropriate actions, including summoning help, notifying the department of transportation of the need for road repairs and so forth. Other actions can include predicting traffic jams resulting from an incident, which can be used to notify other parties such as a wireless network to allocate additional resources/balance load accordingly.