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A novel approach based on Dezert-Smarandache Theory (DSmT) is proposed for scheduling in opportunistic beamforming (OBF) systems. By jointly optimizing among system throughput, fairness and time delay of each user, the proposed algorithm can achieve larger system throughput and lower average time delay with approximately the same fairness and acceptable complexity, as compared with the proportional fair scheduler (PFS). Furthermore, unlike the case in PFS, the parameter used for tradeoff between system throughput and fairness is valid for various practical settings, since the weight that each user accounts for in the base station's (BS) choice can be appropriately calculated in DSmT's framework. Simulation results verify that the proposed algorithm outperforms PFS and other conventional scheduling algorithms in terms of the four proposed indexes.