Semantic-Aware Cooperative Communication and Computation Framework in Vehicular Networks

Jingbo Zhang, Maoxin Ji, Qiong Wu, Pingyi Fan, Kezhi Wang +1 more
12/10/2025
cs.LG

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Abstract

Semantic Communication (SC) combined with Vehicular edge computing (VEC) provides an efficient edge task processing paradigm for Internet of Vehicles (IoV). Focusing on highway scenarios, this paper proposes a Tripartite Cooperative Semantic Communication (TCSC) framework, which enables Vehicle Users (VUs) to perform semantic task offloading via Vehicle-to-Infrastructure (V2I) and Vehicle-to-Vehicle (V2V) communications. Considering task latency and the number of semantic symbols, the framework constructs a Mixed-Integer Nonlinear Programming (MINLP) problem, which is transformed into two subproblems. First, we innovatively propose a multi-agent proximal policy optimization task offloading optimization method based on parametric distribution noise (MAPPO-PDN) to solve the optimization problem of the number of semantic symbols; second, linear programming (LP) is used to solve offloading ratio. Simulations show that performance of this scheme is superior to that of other algorithms.

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Cite this paper

@article{zhang2025semanticaware,
  title  = {Semantic-Aware Cooperative Communication and Computation Framework in Vehicular Networks},
  author = {Jingbo Zhang and Maoxin Ji and Qiong Wu and Pingyi Fan and Kezhi Wang and Wen Chen},
  year   = {2025},
  eprint = {2512.09621},
  archivePrefix = {arXiv},
  url    = {http://arxiv.org/abs/2512.09621v1}
}

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