Large Multi-Modality Model-Based V2X Communications

In the 5G NR and 6G, vehicle-to-everything (V2X) communication has emerged as a crucial technology. In this paper, we present a novel task-oriented communications (ToC) approach that employs large multi-modal models (LMMs) for V2X tasks such as traffic management, The key idea of the proposed LMM-based V2X (LMM-V2X) scheme is to extract essential information relevant to vehicular tasks from the various sensing data. LMM-V2X exchanges only the essential feature vec-tors needed for vehicular tasks, thereby reducing communication overhead and improving task performance. Numerical results demonstrate that the proposed LMM - V2X technique significantly increases average vehicle speed by more than 40 % compared to conventional methods.