5G Core Network Slices Embedding and Deploying Based on Greedy Algorithm in Smart Grids
Yang Li, Jianliang Zhang, Honglin Xue, Junwei Ma, Jian Wu, Min Zhao, Chao sheng Han, Xiaoyan Dang · 2022
With the increasing diversified demand for power services and the orientating strategic goal of energy Internet, the construction of a strong and smart grid urgently needs to be realized through 5G network. With the advent of 5G Network Slicing (NS), power communication can be virtualized and customized for each power services to better meet the requirements of smart grid security, reliability and flexibility. This paper introduces the 5G core NS embedding (NSE) for heterogeneous QoS requirements and constraints in the smart grid. In the deployment of 5G NS, the virtualized and topological network characteristics of network slice request (NSR) are considered and mapped on the physical infrastructure resources. To improve the network resource utilization and guarantee sustainable QoS NS, a dynamic virtual network functions (VNFs) scheduling strategy based on greedy algorithm was proposed for NSRs queuing, NSE mapping, physical path-selecting and routing. Simulations show that the proposed 5G NS strategy can achieve a high NSRs acceptance ratio, while elevating the 5G core network resource utilization and ensure the end-to-end (E2E) latency and resources requirements.