Network Slicing Enabled Resource Management for Service-Oriented Ultra-Reliable and Low-Latency Vehicular Networks

Network slicing has been considered as a promising candidate to provide customized services for vehicular applications that have extremely high requirements of latency and reliability. However, the high mobility of vehicles poses significant challenges to resource management in such a stochastic vehicular environment with time-varying service demands. In this paper, we develop an online network slicing scheduling strategy for joint resource block (RB) allocation and power control in vehicular networks. The long-term time-averaged total system capacity is maximized while guaranteeing strict ultra-reliable and low-latency requirements of vehicle communication links, subject to stability constraints of task queues. The formulated problem is a mixed integer nonlinear stochastic optimization problem, which is decoupled into three subproblems by leveraging Lyapunov optimization. In order to tackle this problem, we propose an online algorithm, namely JRPSV, to obtain the optimal RB allocation and power control at each time slot according to the current network state. Furthermore, rigorous theoretical analysis is conducted for the proposed JRPSV algorithm, indicating that the system capacity and the system average latency obey a [O(1/V ), O(V )] trade-off with the control parameter V . Extensive simulation results are provided to validate the theoretical analysis and demonstrate the effectiveness of JRPSV as well as the impacts of various parameters.

I. Introduction

Given that vehicles have evolved into an obbligato part of people's modern life, vehicular networks, driven by novel technology such as big data analysis and artificial intelligence, have developed rapidly in recent years [1]. The time people usually spend on vehicles (i.e., car, bus, or train) daily can last several hours or more. In this context, it is expected to be able to enjoy high-quality entertainment services (e.g., watching movies) as well as information services (e.g., road safety and traffic news) during the travelling [2]. The emergence of vehicle-to-everything (V2X) communications aims to make people's daily travelling safer and more convenient, thereby paving the way for cutting edge intelligent applications such as intelligent transportation systems, intelligent vehicle interconnection and autonomous driving.