Transceiver Design for MIMO Systems With Imperfect CSI at Transmitter and Receiver
The authors consider transceiver design in uncoded Multiple-Input Multiple-Output (MIMO) systems with noisy channel state estimates. Specifically, they design a transceiver that takes into account the statistics of the CSI errors to minimize the average Bit Error Rate (BER) of the system. Their design utilizes the noisy CSI estimates and the error statistics at the transmitter to partition the spatial channels into 'Almost' independent streams. They also propose a joint bit and power loading (allocation) scheme to allocate information rate and power to each spatial stream. Exact Maximum Likelihood (ML) decoding incurs a high complexity at the receiver; to circumvent this, stream-by-stream ML decoding is used at the receiver.