Joint user scheduling and power allocation in two-tier heterogeneous networks

Abstract

An appropriate scheme is proposed based on QoE and energy consumption in this paper for the fact that the impact of imbalanced loading on resource availability cannot be neglected, which jointly optimises user scheduling and power allocation. In this proposed scheme, the bias factor is optimised to balance the fairness for users' distribution and system resource allocation. A new dynamic linear user scheduling algorithm based on bias programming is presented, in which the negative and the positive bias factors are both considered that are optimised by iterative method to achieve load balancing. Then QoE models of different types of services are built to allocate resource, in which Boolean type dual iterative algorithm is applied to obtain the globally optimal solution. The time and space complexity for the proposed two algorithms are analysed. Simulation results demonstrate the effectiveness and stability of the proposed approaches.