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Internet of Vehicles (IoV) is expected to become the central infrastructureto provide advanced services to connected vehicles and users for highertransportation efficiency and security. A variety of emergingapplications/services bring explosively growing demands for mobile data trafficbetween connected vehicles and roadside units (RSU), imposing the significantchallenge of spectrum scarcity to IoV. In this paper, we propose a cooperativesemantic-aware architecture to convey essential semantics from collaboratedusers to servers for lowering the data traffic. In contrast to currentsolutions that are mainly based on piling up highly complex signal processingtechniques and multiple access capabilities in terms of syntacticcommunications, this paper puts forth the idea of semantic-aware contentdelivery in IoV. Specifically, the successful transmission of essentialsemantics of the source data is pursued, rather than the accurate reception ofsymbols regardless of its meaning as in conventional syntactic communications.To assess the benefits of the proposed architecture, we provide a case study ofthe image retrieval task for vehicles in intelligent transportation systems.Simulation results demonstrate that the proposed architecture outperforms theexisting solutions with fewer radio resources, especially in a lowsignal-to-noise-ratio (SNR) regime, which can shed light on the potential ofthe proposed architecture in extending the applications in extremeenvironments.

Semantic Communication for Internet of Vehicles: A Multi-User Cooperative Approach