A User-QoE Aware Scheduling Scheme in HetNets

In response to the explosive growth of mobile users and smart devices, demand for data traffic is expected to grow. Deploying low-power small base stations (BSs) overlaid with a macro base station is a promising strategy to improve the capacity of the cellular system. Therefore, we propose a user scheduling scheme based on the 0-1 convex programming knapsack problem algorithm (KPA). On this basis, we present a user-centric scheduling algorithm for satisfaction perception, which is used to enhance the service quality perception of users and improve the users experience in Heterogeneous Networks (HetNets). The optimal solution of 0-1 convex programming KPA is obtained in polynomial time complexity. From the simulation, it can be seen that the proposed scheduling scheme can effectively improve the overall satisfaction of users. And we show the load status among the layers get more balanced after scheduling.