Network Slicing for IoV: QoS-Oriented Radio Resource Optimization

To satisfy the quality of service (QoS) requirements for different applications in the Internet of Vehicles (IoV), the network slicing technology is applied for IoV in this paper. Considering the traffic admission control, the average total throughput of the infotainment service slice is maximized under the constraints of low-latency and high reliability of the security service slice. Moreover, the spectrum resource block (RB) allocation and transmit power allocation are jointly considered, while ensuring the transmission rate of the infotainment service slice. The resource management of IoV is modeled as a mixed integer stochastic optimization problem, which is reduced into a simpler one with the help of Lyapunov optimization theory. Then, the simplified optimization problem is equivalently decomposed into two sub-problems corresponding to traffic admission control and RB and transmit power allocation, respectively. Based on block coordinate decent (BCD) and Lagrangian methods, an alternative optimization algorithm is proposed to solve the sub-problems iteratively. Numerical results demonstrate that the proposed resource allocation scheme can effectively improve the average total throughput for the infotainment service slice, and can strike a dynamic balance between delay and throughput by tuning the introduced control parameter. Besides, compared with the benchmark schemes, the proposed scheme shows superior latency performance.