🤖 AI Summary
This study addresses a critical limitation in existing V2X communication paradigms, which prioritize reliable and timely message delivery while overlooking the relevance of content to the receiver’s specific tasks, thereby causing inefficient resource utilization and limited scalability. To overcome this, the authors propose a semantic- and task-aware V2X communication framework that enhances communication efficiency in high-density vehicular environments through task-driven information filtering and semantic-aware message dissemination. The work presents the first systematic validation of the scalability benefits of such a paradigm in V2X settings, moving beyond conventional transmission-centric designs. Experimental results demonstrate that the proposed approach supports a 4.1-fold increase in vehicle density, reduces message reception intervals by 67%, and doubles the success rate of delivering mission-critical information.
📝 Abstract
Scalable Vehicle-to-Everything (V2X) networks are key to support the large-scale deployment of connected and automated mobility. However, the scalability of V2X networks is currently challenged by the limitations of existing V2X communication paradigms, which prioritize the reliable and timely delivery of the transmitted information over a careful message content selection - an approach that can potentially lead to the transmission of unnecessary information and an inefficient usage of communication resources. Semantic and task-oriented V2X communications have recently been proposed to address these scalability challenges by focusing on the content of the transmitted messages, particularly on its relevance to the intended receivers. In this paper, we numerically demonstrate that semantic and task-oriented V2X communications can substantially improve the scalability of V2X networks, increasing by up to a 4.1x factor the number of supported vehicles under high-density conditions. In addition, we show that semantic and task-oriented V2X communications can also decrease the inter-reception time between consecutive messages by up to 67% and lead to a twofold increase in the probability of successfully delivering all required relevant information to the intended receivers.