Linear Transceiver Design in a Multiuser MIMO System With Quantized Channel State Information

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The authors design an end-to-end linear transceiver in the downlink of a multi-user Multiple-Input Multiple-Output (MIMO) system with multiple data streams per user and quantized channel state information at the transmitter. They minimize the Sum Mean Squared Error (SMSE) under a sum power constraint with quantization based on the mean squared inner product. They make three contributions: they remove dimensionality constraints on the MIMO configuration and the resulting feedback overhead scales linearly with the number of data streams; they use the combination of eigenmode combining and minimum mean square error receiver that makes user's feedback mutually independent; and they analyze SMSE at high signal-to-noise ratio and large number of transmit antennas and derive an approximate SMSE floor.