Semantic-Aware Cooperative Communication and Computation Framework in Vehicular Networks
By: Jingbo Zhang , Maoxin Ji , Qiong Wu and more
Potential Business Impact:
Cars share information faster to get tasks done.
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.
Similar Papers
A Survey on Semantic Communications in Internet of Vehicles
Networking and Internet Architecture
Makes self-driving cars communicate smarter and faster.
SemAgent: Semantic-Driven Agentic AI Empowered Trajectory Prediction in Vehicular Networks
Artificial Intelligence
Helps cars predict where they're going better.
Semantic-Aware LLM Orchestration for Proactive Resource Management in Predictive Digital Twin Vehicular Networks
Networking and Internet Architecture
Cars predict and manage their computer needs.