SCI-Aided Resource Allocation to Improve QoS Performance of V2X Platooning Driving Service

Vehicle-to-everything (V2X), which supports various vehicle scenarios, includes platooning as a key scenario in cooperative intelligent transport systems (C-ITS), aimed at enhancing the traffic efficiency. In platoon driving scenarios, it is crucial for vehicles within a platoon to share their location and speed information reliably. However, as traffic becomes more congested, the probability of packet collisions increases because vehicles in the same platoon occupy the same resources. This study analyzed the factors that lead to a decrease in the quality of service (QoS) in communications, particularly when implementing a cooperative adaptive cruise control (CACC) system in V2X platooning scenarios. Furthermore, we propose an SCI-aided collision avoidance resource allocation (SCI-aided CARA) algorithm to improve communication QoS in CACC systems. The application of this algorithm demonstrated an enhanced communication QoS performance in road environments with established CACC systems.