How much does transmit correlation affect the sum-rate scaling of MIMO Gaussian broadcast channels?
IEEE Transactions on Communications
Capacity-achieving input covariance for single-user multi-antenna channels
IEEE Transactions on Wireless Communications
On the capacity of MIMO broadcast channels with partial side information
IEEE Transactions on Information Theory
Monotonicity results for coherent MIMO Rician channels
IEEE Transactions on Information Theory
An introduction to the multi-user MIMO downlink
IEEE Communications Magazine
Capacity limits of MIMO channels
IEEE Journal on Selected Areas in Communications
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It has been shown recently that dirty paper coding (DPC) achieves optimum sum-rate capacity in a multi-antenna broadcast channel with full channel state (CSI) information at the transmitter. With only partial feedback, random beamforming (RBF) is able to match the sumrate of DPC for large number of users. However, in the presence of spatial correlation, RBF incurs an SNR hit as compared to DPC. In this letter, we explore precoding techniques to reduce the effect of correlation on RBF. We thus derive the optimum precoding matrix that minimizes the rate gap between DPC and RBF. Given the numerical complexity involved in calculating the optimum precoder, we derive approximate precoding matrices that are simple to calculate and close in performance to the optimum precoder.