Resource Scheduling of Time-Sensitive Services for B5G/6G Connected Automated Vehicles
Qixun Zhang, Hao Meng, Zhiyong Feng, Zhu Han · IEEE Internet of Things Journal · 2022
Due to the shortage of spectrum resources in the Internet of vehicles, the diversified time-sensitive services for beyond fifth generation/sixth generation connected automated vehicles cannot be effectively transmitted and the existing research lacks efficient and intelligent resource scheduling methods. Therefore, this article 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 roadside unit (RSU). In the first layer, we propose a Vickrey–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.