A Utility-Based Adaptive Resource Scheduling Scheme for Multiple Services in Downlink Multiuser MIMO-OFDMA Systems

In this paper, a utility maximization-based resource scheduling and sharing (UM-RSS) scheme is proposed for downlink multiuser multiple-input-multiple-output orthogonal frequency-division multiple access (MU-MIMO-OFDMA) systems. Before performing the UM-RSS scheduling scheme, we first allocate the best antenna sequence for every served user by a suboptimal multiuser antenna selection (MAS) algorithm according to the channel state information (CSI). To balance efficiency and fairness, the integrated scheduling algorithm of UM-RSS is responsible for assigning subcarriers to different users, as well as distributing the assigned subcarriers among multiple services for the same user. For a MU-MIMO-OFDMA system, the joint spatial and frequency scheduling may improve the system spectrum efficiency by exploiting the multiuser diversity gain in both frequency and spatial domain. Finally, numeric result simulated show that the UM-RSS scheduling scheme outperforms traditional scheduling schemes in terms of system throughput, system spectral efficiency, and fairness criterion.