Wireless Signal Mapping Using Directed Test Device Dispatch
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Solution Overview
Problem
Existing wireless networks face challenges in efficiently collecting signal strength data to identify and address areas with poor coverage and interference, particularly in complex environments where traditional methods are inadequate.
Innovation Solution
A system utilizing autonomous vehicles and unmanned aerial vehicles (UAVs) equipped with test devices to collect wireless signal data, analyzing conditions, and dispatching additional test devices to specific locations within defined areas of interest, including zones accessible to vehicles, pedestrians, or UAVs, to gather comprehensive network performance data.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If traditional methods are used to collect signal strength data, then the collection process is simple, but the accuracy and efficiency of identifying poor coverage areas is insufficient
Solution Approach 1:
The system segments the wireless network coverage area into multiple zones or regions based on signal strength thresholds and spatial distribution. Test devices are dispatched to specific segments (areas of interest) where poor coverage is detected, allowing targeted measurement rather than uniform coverage. This segmentation enables precise identification of poor coverage areas while managing system complexity through zone-based management.
Solution Approach 2:
The patent introduces spatial dimensionality by deploying test devices at multiple locations and heights (ground level, elevated positions) to map three-dimensional signal propagation characteristics. This dimensional approach enables accurate identification of coverage problems that two-dimensional methods miss, such as signal blockage by buildings or terrain features, thereby improving measurement precision without simply adding more devices uniformly across the area.
2Measurement precision
If more test devices are deployed to collect comprehensive data, then the measurement precision improves, but the loss of time increases
Solution Approach 1:
The system performs preliminary analysis of existing network data, user complaints, and signal strength measurements to pre-identify areas of interest where poor coverage is most likely to occur. Test devices are then dispatched prioritarily to these pre-identified locations rather than conducting random measurements. This preliminary action filters out low-value measurement locations and focuses time and resources on areas where data collection will most effectively improve measurement precision.
Solution Approach 2:
The system continuously monitors signal strength measurements and network conditions, using this feedback to dynamically adjust the deployment and measurement schedule of test devices. When measurements indicate improved coverage or when new areas of interest emerge, the system adapts its measurement strategy accordingly. This feedback mechanism prevents unnecessary time expenditure on areas where coverage is already adequate and redirects resources to areas needing attention.
3Measurement precision
If signal strength data is collected at multiple locations, then the accuracy of network coverage assessment is improved, but the device complexity increases
Solution Approach 1:
The system applies different measurement strategies and device configurations based on local characteristics such as urban/rural settings, building density, terrain features, and existing network infrastructure. In areas with complex signal propagation (e.g., dense urban environments), more comprehensive measurement protocols are applied, while simpler protocols are used in areas with more predictable signal characteristics. This local quality approach improves measurement accuracy where needed without uniformly increasing system complexity across all locations.
Data Source
AI summary
Aspects of the subject disclosure may include, for example, performing signal measurements in a wireless network. An area of interest within a coverage area of the communications network may be identified based on the signal measurements. Zones within the area of interest may be further identified. Additional test measurements within the area of interest may be requested. Test devices may be dispatched to locations within the area of interest to perform the additional test measurements. Other embodiments are disclosed.