Bankruptcy game based resource allocation algorithm for 5G Cloud-RAN slicing

Recently, network slicing which addresses the deployment of multiple logical networks as independent business operations on a common physical infrastructure has attracted more and more attentions. Despite the advances of network slicing, there are still many open issues regarding the isolation of the wireless slices and resources allocation. The paper focus on spectrum resource allocation for Cloud-RAN slices. We develop a bankruptcy game based algorithm to allocate resource for the Cloud-RAN slices. Cloud and slices are modeled to the bankrupt company and debtors in the game respectively, where Shapley value is adopted to obtain a stable solution. Simulation results show that the bankruptcy game based algorithm significantly improve resource utilization and guarantee the fairness of allocation.