Mobile Vehicle Network Quality Measurement in 3D Space
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Existing network quality measurement methods for 5G private networks are inefficient in measuring network quality in three-dimensional space and fail to adapt quickly to changes or obstacles, making it difficult to deploy high-quality network services for applications like drone sports and smart factories.
Innovation Solution
A network quality measurement method and system that uses a vehicle device equipped with a controller, network quality measurer, and obstacle detector to determine movement paths and speeds, adjust measurement frequencies, and visualize network quality data in real-time, allowing for dynamic adjustments in response to changes or obstacles.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If manual fixed-point sampling is used to measure network quality, then measurement simplicity is maintained, but measurement precision and coverage in three-dimensional space deteriorate
Solution Approach 1:
The patent transforms the static fixed-point measurement approach into a dynamic mobile measurement approach. The vehicle device moves through the measurement space, continuously collecting network quality data at multiple positions and heights, thereby achieving comprehensive three-dimensional coverage while maintaining operational simplicity through automated measurement processes.
Solution Approach 2:
The patent extends measurement from traditional two-dimensional ground-level fixed points to three-dimensional space by utilizing the vehicle device's ability to operate at different heights and positions. This dimensional expansion enables comprehensive coverage of vertical and horizontal spaces, significantly improving measurement precision in three-dimensional environments.
2Device complexity
If fixed-point measurement is used, then device complexity is reduced, but productivity and measurement efficiency deteriorate
Solution Approach 1:
The vehicle device serves multiple functions: it acts as a mobile platform, carries network quality measurement equipment, and performs automated data collection and processing. This multi-functionality consolidates what would otherwise require multiple separate systems into a single integrated platform, maintaining manageable complexity while dramatically improving measurement productivity.
Solution Approach 2:
The measurement process transitions from discrete fixed-point sampling to continuous measurement during vehicle movement. The network quality measurer continuously collects data throughout the vehicle's traversal of the measurement space, eliminating idle time between measurements and significantly improving overall measurement efficiency.
3Adaptability or versatility
If traditional measurement methods are used, then adaptability to changes is maintained, but response speed to network quality changes and obstacles deteriorates
Solution Approach 1:
The system implements real-time feedback through continuous network quality monitoring during vehicle movement. When network quality changes or obstacles are detected, the system immediately responds by adjusting measurement parameters or vehicle trajectory, enabling rapid adaptation to changing conditions while maintaining high response speed through automated real-time processing.
Data Source
AI summary
A network quality measurement method and system are provided. In the method, a movement path and a movement speed of a vehicle device are determined according to a size of a space and an endurance time of the vehicle device, and the vehicle device is controlled to move on the movement path at the movement speed. During a movement of the vehicle device, a network quality in the space is measured according to a measurement frequency to generate network quality data. Whether the network quality in the space is changed is determined according to the network quality data. Whether there is an obstacle around the vehicle device is detected. When it is determined that the network quality in the space is changed or the obstacle is detected around the vehicle device, at least one of the movement path, the movement speed, and the measurement frequency is adjusted.