An Intelligent Coordinator Design for Network Slicing in Service-Oriented Vehicular Networks

Abstract

To fulfill the diversified requirements of vehicular network services, we design an intelligent slice coordinator in this paper, which consists of two parts, service clustering and slice scheduling. In the first part, service clustering captures the Service Level Agreement (SLA) of services and clusters them based on K-means++ clustering algorithm according to the similarity of service requirement. Meanwhile, the services will be mapped into different slices. In slice scheduling module, we design the shared proportional fairness scheme (SPFS) to deal with the imbalance of radio resource utilization, and then further design the resource allocation algorithm based on linear programming obstacle method to solve the optimal slice weight distribution and maximize the slice load variation tolerance. Simulation results show that the SPFS has smaller average bit transmission delay (BTD) than the static slicing scheme, and the optimal slice weight distribution can be obtained under different user load distribution scenarios. The BTD gain achieves 1.5632 in the uniform user load scenario with 20 users per slice.