Resource Scheduling of Time-Sensitive Services for B5G/6G Connected Automated Vehicles

Abstract

Due to the shortage of spectrum resources in the Internet of vehicles, the diversified time-sensitive services for B5G/6G connected automated vehicles cannot be effectively transmitted and the existing researches lack efficient and intelligent resource scheduling methods. Therefore, this paper proposes a spectrum resource scheduling model for time-sensitive services, and designs a two-tier joint resource scheduling method based on the age of information and bandwidth requirements under macro base station (MBS) and Road Side Unit (RSU). In the first layer, we propose a Vickery-Clarke-Groves (VCG) enabled auction model to solve the time-sensitive services resource scheduling problem, in order to guarantee the authenticity of vehicle users (VUEs) bidding. In addition, the lagrange relaxation algorithm is utilized to obtain the optimal solution of spectrum resource allocation to ensure the VUEs service delay and achieve low complexity resource scheduling. In the second layer, we design a federated learning based MBS auxiliary communication method to alleviate RSU communication pressure. The communication links of differentiated time-sensitive services are predicted to improve the quality of perception services. Simulation results verify that the proposed algorithms can enhance the VUEs experience effectively compared with the conventional methods, in terms of the delay, throughput and packet loss ratio.