Roadside Unit QoS Prediction for Scalable V2X Communication
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Solution Overview
Problem
Devices predicting Quality of Service (QoS) for a large number of vehicles incur high load, necessitating a reduction in load on these devices.
Innovation Solution
A communication system that includes a roadside unit transmitting request information and position information to a prediction device, which predicts communication quality from a service provision device to the roadside unit, thereby reducing the load on the prediction device by only predicting QoS for individual roadside units rather than all vehicles.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If a device predicts QoS for a large number of vehicles, then comprehensive QoS coverage is improved, but device load increases
Solution Approach 1:
The system segments the QoS prediction function by introducing roadside units as intermediate nodes. Each roadside unit independently predicts QoS for vehicles in its coverage area, dividing the centralized prediction task into distributed local tasks. This reduces the load on any single device while maintaining comprehensive coverage across all vehicles.
2Measurement precision
If QoS prediction is performed for each vehicle individually, then prediction accuracy is improved, but system complexity increases
Solution Approach 1:
The system merges the prediction requests from multiple vehicles into a single request handled by the roadside unit. The roadside unit consolidates position information and prediction requests from multiple vehicles, performs unified QoS prediction for the communication path, and distributes results to relevant vehicles. This reduces system complexity while maintaining accurate predictions.
3Ease of operation
If centralized QoS prediction is implemented, then system control is simplified, but response time increases
Solution Approach 1:
The roadside unit performs QoS prediction in advance for vehicles within its coverage area before actual communication needs arise. By pre-calculating QoS for the communication path from service provision devices to the roadside unit, the system prepares prediction results ahead of time, reducing response time when vehicles actually need the information while maintaining centralized coordination.
Data Source
AI summary
A communication system includes a roadside unit that transmits request information indicating a prediction request of communication quality, prediction using information as information to be used for prediction of the communication quality, and position information upon receiving the request information from a vehicle, a V2X application server that provides the vehicle with a service, and a prediction device that predicts the communication quality of a communication path from the V2X application server to the roadside unit based on the prediction using information and the position information regarding the roadside unit upon receiving the request information, the prediction using information and the position information regarding the roadside unit.