UAV RF Signal Scanning for Wireless Network Optimization
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Solution Overview
Problem
Existing methods for collecting and analyzing radio signals are inefficient and cost-prohibitive, especially in areas inaccessible to humans, such as hazardous or remote locations, leading to incomplete data and limited understanding of wireless network resource utilization.
Innovation Solution
The use of unmanned aerial vehicles (UAVs) equipped with RF scanning capabilities for autonomous data collection, allowing for rapid interrogation and optimization of wireless networks in three-dimensional spaces, including buildings and remote areas, while avoiding obstacles and reducing collection time and costs.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If traditional methods using automobiles, rail vehicles, or human workers are used for data collection, then safety and accessibility are improved, but coverage area and completeness of data are limited
Solution Approach 1:
The patent transitions from ground-based two-dimensional data collection to three-dimensional aerial data collection using UAVs. This dimensional change enables coverage of areas previously inaccessible to ground vehicles and human workers, including hazardous locations, while maintaining safety by removing operators from dangerous environments.
2Reliability
If traditional data collection methods are used in hazardous or inaccessible locations, then safety is improved, but data completeness and understanding of resource utilization are worsened
Solution Approach 1:
The patent introduces UAVs as intermediary devices that can operate in hazardous or inaccessible locations without exposing human workers to danger. These aerial vehicles serve as mediators between the data collection objective and the unsafe environment, enabling complete data coverage while maintaining safety through automated operation.
3Measurement precision
If repetitive routes are retraced from previous activities, then measurement thoroughness is improved, but time consumption and cost are worsened
Solution Approach 1:
The patent implements dynamic route planning and adaptive data collection using UAVs that can adjust flight paths in real-time based on collected data quality and coverage requirements. This dynamic approach eliminates the need for fixed repetitive routes, allowing the system to achieve thorough measurements more efficiently by focusing resources on areas needing additional verification.
4Quantity of substance
If collection is limited to areas of actual wireless usage, then cost is reduced, but ability to identify wasted resources and coverage gaps is worsened
Solution Approach 1:
The patent creates a universal data collection system using UAVs that can operate across diverse environments and coverage areas, not limited to zones with actual wireless usage. This multi-functional capability allows the system to efficiently survey both populated and remote areas, identifying coverage gaps and resource misallocation while maintaining cost-effectiveness through automated aerial operation.
Data Source
AI summary
A system, apparatus, and method for the measurement, collection, and analysis of radio signals are provided. A transport host device, including an unmanned aerial vehicle, can transport a scanning device into desired locations for autonomously collecting radio data for a wireless network, thereby enabling the rapid interrogation and optimization the wireless network, including in locations and spatial areas where previously known systems and methods have been impractical or impossible.