Optimized Base Station Allocation for Platooning Vehicles Underway by Using Deep Learning Algorithm Based on 5G-V2X

This study proposes to use deep learning algorithm based on 5G-V2X to create an artificial intelligence (AI) model for optimizing 5G base station allocation for platooning vehicles underway. Experimental data are retrieved from the simulation, and parameters, including communication between base stations and vehicles, signal strength, services and speed of platooning vehicles, are investigated to reach the optimal parameter adjustment.