Hierarchical Matching Game for Service Selection and Resource Purchasing in Wireless Network Virtualization

Abstract

Wireless network virtualization is identified as one of the key enabling technologies to bring fifth-generation networks into fruition. In this letter, we model the service selection and resource purchasing problem as a two-stage combinatorial optimization problem. To solve this problem, we propose a hierarchical matching game-based scheme, which satisfies the efficient resource allocation and strict isolation requirements. Simulation results show that our proposal outperforms the fixed sharing approach by 32% and achieves up to 97% of performance obtained by the optimal approach (general sharing scheme) in terms of average sum rate.