Energy-Efficient Resource Allocation for Different QoS Requirements in Heterogeneous Networks

In this paper, we study the energy-efficient resource allocation (EERA) for heterogeneous networks, where different quality of service (QoS) requirements, including minimum-rate guarantee services and best effort (BE) services are taken into consideration. We formulate EERA scheme as a mixed-integer non-convex optimization problem, in which the power and sub-carrier allocation are jointly optimized to maximize the network utility, mitigate the cross-tier interference, and guarantee the fairness between the two classes of services and the fairness among the BE services. After transforming the problem into a convex optimization problem by some mathematic manipulations, we design an efficient iterative algorithm to solve this problem by Lagrangian dual decomposition method and gradient-based method. Simulation results validate the convergence and effectiveness of the proposed scheme.