Digital Twins (DTs) for physical wireless environments have been recently proposed as accurate virtual representations of the propagation environment that can enable multi-layer decisions at the physical communication equipment. At high-frequency bands, DTs can help to overcome the challenges emerging in high mobility conditions featuring vehicular environments. In this paper, we propose a novel data-driven workflow for the creation of the DT of a Vehicle-to-Everything (V2X) communication scenario and a multi-modal simulation framework for the generation of realistic sensor data and accurate mmWave/sub-THz wireless channels. The proposed method leverages an automotive simulation and testing framework and an accurate ray-tracing channel simulator. Simulations over an urban scenario show the achievable realistic sensor and channel modelling both at the infrastructure and at ego-vehicles. We showcase the proposed framework on the DT-aided blockage handover task for V2X link restoration, leveraging the framework’s dynamic channel generation capabilities for realistic vehicular blockage simulation.


    Access

    Check access

    Check availability in my library

    Order at Subito €


    Export, share and cite



    Title :

    A Multi-Modal Simulation Framework to Enable Digital Twin-based V2X Communications in Dynamic Environments




    Publication date :

    2024-10-07


    Size :

    5276062 byte





    Type of media :

    Conference paper


    Type of material :

    Electronic Resource


    Language :

    English



    Digital Twin Driven Port Dynamic Scheduling Decision Support Technology for Multi-modal Transportation

    Wang, Xiangyue / Zheng, Simin / Shi, Yinjie et al. | Springer Verlag | 2025


    Multi-Agent Heterogeneous Digital Twin Framework with Dynamic Responsibility Allocation for Complex Task Simulation

    Bauer, Adrian Simon / Köpken, Anne / Leidner, Daniel | German Aerospace Center (DLR) | 2022

    Free access


    Research on Multi-modal Data Cross-Media Perception Fusion Algorithm Based on Digital Twin

    Wan, Xiang / Liu, Lilan / Feng, Bowen et al. | Springer Verlag | 2021


    Digital Twin-based Flight Dynamics Simulation

    Talluri, Geetam / Konjengbam, Anand | IEEE | 2024