Unmanned Vehicle Mobile Network Performance Data Collection
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Solution Overview
Problem
Traditional methods for verifying and optimizing cellular network performance are time-consuming and error-prone, especially in inaccessible areas, leading to incomplete data collection and suboptimal network coverage.
Innovation Solution
A system and method utilizing unmanned vehicles, such as drones or ground-based robots, to collect and analyze mobile device performance data across geographical areas, enabling real-time data acquisition and analysis for network optimization tasks like RF mapping, service performance investigation, and coverage optimization.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If traditional foot traffic or ground vehicle traffic is used to collect network data, then data collection can be performed in accessible areas, but inaccessible areas cannot be tested and the process is extremely time consuming
Solution Approach 1:
The patent introduces aerial dimension for data collection by deploying unmanned aerial vehicles (drones) to fly over geographical areas and collect mobile device performance data from three-dimensional space, transforming the traditional two-dimensional ground-based collection approach. This enables access to inaccessible areas and significantly reduces data collection time while maintaining comprehensive network verification.
2Productivity
If traditional manual data collection methods are used, then equipment and procedures are simple, but the process is time consuming and error prone
Solution Approach 1:
The system enables unmanned aerial vehicles to autonomously navigate geographical areas, automatically collect mobile device performance data, and transmit data to the network management system without requiring manual intervention. This self-service capability increases data collection efficiency and reduces human errors while maintaining data accuracy through automated processes.
3Reliability
If comprehensive network coverage testing is performed, then complete network verification is achieved, but the time and resources required increase significantly
Solution Approach 1:
By utilizing aerial vehicles to operate in three-dimensional space, the system can rapidly cover large geographical areas and test network coverage across diverse terrains including inaccessible regions. This dimensional transition enables comprehensive network verification while maintaining high testing speed, resolving the contradiction between coverage completeness and testing efficiency.
Data Source
AI summary
A system, method, and computer program product are provided for performing mobile network related tasks based on performance data acquired by an unmanned vehicle. In use, mobile device performance data associated with a geographical area is received, the mobile device performance data being acquired by one or more unmanned vehicles accessing the geographical area. Additionally, the received mobile device performance data associated with the geographical area is analyzed. Further, one or more mobile network related tasks corresponding to the geographical area are performed based on the analysis of the received mobile device performance data associated with the geographical area.