An Adaptive User Selection Algorithm for Multiuser MISO Downlink Systems
多用户MISO系统下行链路的自适应用户选择算法

For multiuser MISO downlink systems, an efficient user selection algorithm aiming to maximize the sum rate capacity is proposed in this paper. The number of selected users can change adaptively according to current channel condition. It achieves near optimal performance while with low computational complexity. Through simulation results, the excellent performance of the proposed algorithm is shown. Based on this method, a fair scheduling scheme is further given to ensure fairness to all users in the system.