Network slice optimization method for wireless access networks

With the rapid increase of smart grid's intelligence degree, types and number of communication services are also increasing. It will be a challenge to design a resource allocation method meeting various QoS requirements and effectively using substrate resources. In this paper, a cost-and-QoS-based resource allocation mechanism is proposed to solve wireless resource slicing problem in access network. It virtualizes substrate wireless resources and builds a combined and non-convex optimization model, then uses simulated annealing optimization algorithm (SAOA) to complete allocation of virtual wireless resources. Simulation results show that compared with QoS-based wireless resource allocation algorithm (QoS-WRA) and wireless resource dynamic allocation algorithm (WRDA), SAOA has stronger advantages in saving energy consumption and ensuring transmission rate.