Slice-Aware Resource Management in SDN Enabled Heterogeneous Cellular Networks

Abstract

By logically slicing the infrastructure network into multiple dedicated virtual networks, wireless networks can support a wide range of services with differentiated quality-of-service (QoS) requirements. In this paper, we study the joint optimization of power and bandwidth allocation in a software defined network (SDN) enabled heterogeneous cellular networks with network function virtualization (NFV) based slicing. The problem is formulated as an energy efficiency (EE) maximization problem with joint consideration of bandwidth and power optimization. Parametric Dinkelbach method is adopted to transform the original nonlinear fractional programming problem into a more tractable form. Then, the problem is further decomposed into two subproblems which can be solved by concave-convex procedure (CCCP) algorithm and interior point method. Numerical results show that the proposed algorithm can achieve 201.5% and 1.8% performance gains in terms of energy efficiency compared with bandwidth optimized scheme and power optimized scheme, respectively.