Digital Twin based Packet Reception Prediction for C-V2X Networks

C-V2X (Cellular Vehicle-to-Everything) is a wireless communication technology that facilitates communication between vehicles, infrastructures, and pedestrians via cellular networks, with the aim of improving road safety and efficiency. However, in autonomous mode, transmitting vehicles are unable to estimate the intended broadcast packet reception, resulting in the use of blind broadcast. This limits the reliability and latency performance of C-V2X and hinders transmission scheme optimization. To address this issue, we propose a simple but accurate prediction model to estimates packet reception rate at the transmitter side without requiring additional signaling from the receiver side. Our proposed model achieves an R2 of up to 0.92 when trained and evaluated by data generated by digital twins for the same city, and an R2 of 0.90 when transferring the trained model from a different city.