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

TL;DR

This paper introduces a semantic-aware cooperative architecture for IoV that reduces data traffic by transmitting essential semantics instead of raw data, improving efficiency especially in low SNR conditions.

Contribution

It proposes a novel semantic-aware content delivery framework for IoV, focusing on conveying essential semantics rather than syntactic data, which is a departure from traditional methods.

Findings

Outperforms existing solutions with fewer radio resources.

Effective in low SNR regimes.

Enhances data transmission efficiency in IoV environments.

Abstract

Internet of Vehicles (IoV) is expected to become the central infrastructure to provide advanced services to connected vehicles and users for higher transportation efficiency and security. A variety of emerging applications/services bring explosively growing demands for mobile data traffic between connected vehicles and roadside units (RSU), imposing the significant challenge of spectrum scarcity to IoV. In this paper, we propose a cooperative semantic-aware architecture to convey essential semantics from collaborated users to servers for lowering the data traffic. In contrast to current solutions that are mainly based on piling up highly complex signal processing techniques and multiple access capabilities in terms of syntactic communications, this paper puts forth the idea of semantic-aware content delivery in IoV. Specifically, the successful transmission of essential semantics of the source data is pursued, rather than the accurate reception of symbols regardless of its meaning as in conventional syntactic communications. To assess the benefits of the proposed architecture, we provide a case study of the image retrieval task for vehicles in intelligent transportation systems. Simulation results demonstrate that the proposed architecture outperforms the existing solutions with fewer radio resources, especially in a low signal-to-noise-ratio (SNR) regime, which can shed light on the potential of the proposed architecture in extending the applications in extreme environments.