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In MIMO system, it is known that Multi-user diversity can be used to increase the sum system throughput. The maximization of the throughput under Quality of Service (QoS) constraints is a still open field for research. In this paper, a scheduling algorithm that uses fairness among users as a QoS constraint is considered. This algorithm, called Adaptive Proportionality-Opportunistic Scheduling (APOS), can meet a trade-off between throughput and fairness. To achieve this goal the APOS scheme allocates each spatial channel by sorting users in a descending order of their channel Signal to Interference plus Noise Ratios (SINR), and selects the user owning the worst case performance among the L users owning the first sorted SINRs.
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