Resource Allocation Method Based on Adaptive Algorithm on SPN for Multi-Scenario Power Service

This paper proposes a network slicing architecture for multi-scenario power service, which comprehensively considers the slicing of 5G spectral resources, optical link resources and resources in customer premises equipment (CPE) devices. We use queuing theory to model forwarding resources and cache resources in CPE, and establish the relationship between rate, delay, packet loss rate and the number of forwarding and cache resources. Then proposed an optimization method for multi-scenario power service oriented network slicing and resource allocation. Simulation results show that the algorithm proposed in this paper can dynamically adjusting the network resources to achieve the optimal allocation of resources while satisfied the slicing requirements.