Vehicle Communication Network Selection for Autonomous Data Exchange
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Solution Overview
Problem
The high costs and network utilization associated with using technology- and cost-intensive networks for data transmission between vehicles and remote stations, especially in the context of autonomous driving, where large amounts of data are transmitted.
Innovation Solution
A control method that automatically selects the most appropriate network connection based on the level of autonomy of the vehicle, allowing for the efficient use of terrestrial and non-terrestrial networks, and potentially using parallel connections in both types of networks to optimize data transmission.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Speed
If the highest quality and fastest network connections are used for all data transmission, then data transmission quality and speed are improved, but costs and network utilization increase significantly
Solution Approach 1:
The system dynamically changes network parameters (connection type, quality of service level) based on the vehicle's autonomy level and data transmission requirements. Different autonomy levels trigger different network configuration parameters, allowing the system to optimize between speed and resource utilization by selecting appropriate network parameters for each scenario
Solution Approach 2:
The network connection selection is made dynamic rather than static. The system continuously monitors the vehicle's autonomy level and automatically adjusts the network connection type and quality of service parameters in real-time, transitioning between different network configurations as the vehicle's operational needs change
2Reliability
If high-quality network connections are reserved for all autonomous vehicle communications, then transmission reliability is improved, but costs increase
Solution Approach 1:
The system adjusts quality of service parameters based on the vehicle's autonomy level. For lower autonomy levels where full reliability is not critical, lower quality parameters are selected. For higher autonomy levels requiring greater reliability, the system upgrades to higher quality network parameters, thus matching reliability provision to actual need and reducing unnecessary costs
Solution Approach 2:
The system applies partial network resources proportional to the actual requirements. Instead of reserving full high-quality network capacity for all vehicles regardless of need, it allocates network resources partially based on the specific autonomy level and data transmission requirements of each vehicle
3Reliability
If all data is transmitted over high-speed networks, then data transmission quality is improved, but network congestion increases
Solution Approach 1:
The system changes network selection parameters based on data type and autonomy level. Critical safety-related data from high-autonomy vehicles uses high-speed networks with high quality parameters, while routine data from lower-autonomy vehicles or non-critical data uses lower-speed networks with reduced quality parameters, thereby distributing network load and preventing congestion
Data Source
AI summary
A method for automatically establishing or automatically switching vehicle communication for data exchange between a vehicle and a remote station involves the vehicle being driven with various levels of autonomy. The data is transmitted between the vehicle and the remote station via at least one of the following types of network connection: a network connection in a terrestrial network, a network connection in a non-terrestrial network; and parallel network connections in a terrestrial and a non-terrestrial network. The type of network connection is selected based on a currently set and/or requested level of autonomy.