Analysis Of Key Technology Research and Development Trends in Semantic Communication for V2X Scenarios

Abstract

Semantic Communication (SemCom), as an advanced communication paradigm focused on transmitting "meaning" rather than mere "bits", is propelling the evolution of vehicle-to-everything (V2X) networks from perception-centric to cognition-centric systems. This paper systematically develops a network model for SemCom within V2X contexts, reviewing recent research achievements over the past three years across five critical domains: resource management, priority access protocols, data compression and coding, privacy safeguards, and interference mitigation strategies. It introduces task-oriented communication optimization frameworks, conducts layered analyses of typical applications and developmental trajectories, and assesses the technical challenges and future prospects for commercial deployment of SemCom in V2X environments. Findings indicate that semantic communication significantly improves transmission efficiency and robustness, laying the groundwork for applications such as cooperative perception, trajectory prediction, and swarm intelligence in intelligent connected vehicles. Despite obstacles like the lack of standardized protocols and inconsistent communication standards, the progression of SemCom in V2X faces hurdles but remains promising. This study aims to provide theoretical foundations and practical insights for designing smarter, more efficient, and safer V2X communication infrastructures.