Self-Driving Network Drive Testing for Hazardous Area Coverage
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Solution Overview
Problem
Existing network testing methods using manned vehicles are limited by vehicle size constraints and safety risks, restricting data collection to accessible areas and failing to address inaccessible or hazardous locations.
Innovation Solution
Utilizing self-driving vehicles equipped with network measuring equipment for autonomous navigation and data collection, enabling testing in areas inaccessible to manned vehicles and improving data collection efficiency and safety.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If manned vehicles are used for network testing, then data collection can be conducted in accessible areas, but vehicle size constraints and safety risks prevent testing in inaccessible or hazardous locations
Solution Approach 1:
The vehicle is equipped with autonomous driving capabilities that enable it to navigate and perform network testing independently without human intervention. The self-driving system processes sensor data, makes navigation decisions, and controls vehicle operations automatically, allowing the vehicle to serve itself in hazardous or inaccessible areas where human drivers cannot safely operate.
2Area of stationary object
If manned vehicles are used for network testing, then data collection is limited to areas accessible by vehicle, but this restricts coverage to only reachable locations
Solution Approach 1:
The autonomous vehicle system performs network testing independently in areas that would be inaccessible to manned vehicles, expanding the geographic coverage of network testing to include hazardous terrains, restricted zones, and remote locations without requiring human physical presence.
3Adaptability or versatility
If self-driving vehicles are used for network testing, then testing can be conducted in inaccessible areas, but the system complexity increases
Solution Approach 1:
The self-driving vehicle is designed as a multi-functional platform that integrates network testing equipment with autonomous navigation capabilities. The vehicle can perform multiple functions including autonomous driving, network signal measurement, data collection, and communication, allowing a single system to handle diverse testing scenarios without requiring separate specialized vehicles for each function.
Data Source
AI summary
A trigger associated with a network event is received. Based on the received trigger, a location associated with the network event is mapped. Computer navigation instructions are generated, based on the received trigger and location, to be used by a self-driving vehicle to collect network data associated with the network event. A self-driving vehicle is selected among a plurality of self-driving vehicles and deployed to collect network data based on the trigger. Network data collected by the self-driving vehicle is received and a network report is automatically generated to be used to adjust a network configuration.

