A Dynamic Slicing Resource Allocation algorithm (DSRA) based on Network Slicing (NS) and Twin Delayed Deep Deterministic Policy Gradient (TD3) is proposed to address the resource allocation problem of network services with differentiated resource demands in Vehicular Ad-hoc Networks (VANET). The algorithm dynamically allocates virtual radio access network resources based on the resource requirements and mobility of different vehicles on the slice, to meet vehicle resource requirements and minimize the total system costs. The simulation experiment compared and analyzed the performance of the proposed algorithm with four baseline algorithms in terms of quality of service (QoS) satisfaction rate and total system cost. The simulation results show that in scenarios with multiple resources and a large number of vehicles, the proposed algorithm can significantly improve the QoS level of vehicles and reduce the total cost of the system compared to baseline algorithms.
Qiu et al. (Mon,) studied this question.