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It is known that the conventional semi-orthogonal user selection based on a greedy algorithm cannot provide a globally optimal solution due to its semi-orthogonal property. To find a more optimal user set and prevent the waste of the feedback resource at the base station, we present a multiuser multiple-input multiple-output system using a random beamforming (RBF) scheme, in which one unitary matrix is used. To reduce feedback overhead for channel quality information (CQI), we propose an efficient CQI quantizer based on a closed-form expression of expected SINR for selected users. Numerical results show that the RBF with the proposed CQI quantizer provides better throughput than conventional systems under minor levels of feedback.

Low-complexity multiuser MIMO downlink system based on a small-sized CQI quantizer