Roadside Unit Routing for Seamless Vehicle Handover
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Solution Overview
Problem
Existing road-to-vehicle communication systems face challenges in smoothly switching between roadside units while maintaining continuous communication and reducing infrastructure costs, particularly in systems like 5G where communicable areas are smaller and network topologies are complex.
Innovation Solution
A communication system with roadside units equipped with routing processing units that predict future communication needs based on vehicle travel information, updating routing tables and allocating radio resources in advance to ensure seamless handovers across different units, reducing infrastructure costs through optimized network management.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If conventional road-to-vehicle communication systems are used, then communication between vehicle and roadside units can be established, but smooth switching between roadside units cannot be achieved and infrastructure costs increase
Solution Approach 1:
The system performs preliminary actions by predicting the vehicle's future position based on travel information (position, velocity, destination, steering) and pre-establishing communication paths to predicted roadside units before the vehicle actually reaches their coverage areas. This proactive approach enables smooth handovers without requiring complex real-time switching infrastructure.
Solution Approach 2:
The terminal acts as an intermediary that collects travel information from vehicles, predicts future roadside units, and coordinates communication path establishment between vehicles and multiple roadside units. This central coordination simplifies the overall system architecture compared to direct peer-to-peer switching between roadside units.
2Ease of operation
If communication paths are set in advance using conventional methods, then some communication continuity can be maintained, but infrastructure costs are still high and switching is not smooth
Solution Approach 1:
Communication paths are established in advance based on predicted vehicle trajectories. The system calculates which roadside units will be needed in the future and pre-configures routing tables and allocates radio resources before handovers are needed, enabling seamless transitions without requiring redundant infrastructure.
Solution Approach 2:
The system dynamically adapts communication paths based on real-time travel information. Routing tables are updated continuously as vehicles move, and predicted roadside units change based on current position, velocity, and destination data, allowing the system to optimize infrastructure usage dynamically rather than relying on static, over-provisioned infrastructure.
3Reliability
If more roadside units are installed to ensure coverage, then communication reliability improves, but infrastructure costs increase significantly
Solution Approach 1:
Instead of deploying roadside units densely throughout the area, the system uses preliminary prediction of vehicle trajectories to activate and establish connections with only the necessary roadside units along predicted paths. This on-demand approach maintains coverage reliability while reducing the total number of units needed.
Solution Approach 2:
Vehicles essentially self-configure their communication paths by providing travel information (position, velocity, destination, steering) that enables the terminal and roadside units to predict and prepare appropriate communication routes. This reduces the need for centralized control and extensive infrastructure.
Data Source
AI summary
A communication system includes a plurality of roadside units installed in respective areas that acquires travel information about a vehicle through radio communication, and a first terminal to which the plurality of roadside units is connected. The roadside units and the first terminal each include a routing processing unit, implemented by software. The routing processing unit performs a communication process in line with a routing table updated based on the travel information.