Joint Channel-Aware and Queue-Aware Scheduling Algorithm for Multi-User MIMO-OFDMA Systems with Downlink Beamforming

In this paper, a radio resource allocation and scheduling algorithm for multi-user MISO-OFDMA systems with downlink zero-forcing beamforming is proposed to efficiently support the diverse quality of service (QoS) requirements of heterogeneous services. According to the channel state information (CSI) and the queue state information (QSI), the proposed algorithm dynamically assigns subcarriers and selects the users on the same subcarrier. The goal of the algorithm is to maximize the system throughput by fully exploiting multiuser diversity gain in space, time, and frequency domain while guaranteeing the QoS for real time (NT) services and non-real time (NRT) services with minimum data rate requirement. From the system level simulation, it shows that the proposed algorithm significantly improves the system performances.