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In downlink multiuser multiple-input multiple-output (MIMO) systems, blockdiagonalization (BD) is a practical linear precoding scheme which achieves thesame degrees of freedom (DoF) as the optimal linear/nonlinear precodingschemes. However, its sum-rate performance is rather poor in the practical SNRregime due to the transmit power boost problem. In this paper, we propose animproved linear precoding scheme over BD with a so-called"effective-SNR-enhancement" technique. The transmit covariance matrices areobtained by firstly solving a power minimization problem subject to the minimumrate constraint achieved by BD, and then properly scaling the solution tosatisfy the power constraints. It is proved that such approach equivalentlyenhances the system SNR, and hence compensates the transmit power boost problemassociated with BD. The power minimization problem is in general non-convex. Wetherefore propose an efficient algorithm that solves the problem heuristically.Simulation results show significant sum rate gains over the optimal BD and theexisting minimum mean square error (MMSE) based precoding schemes.

Improved Linear Precoding over Block Diagonalization in Multi-cell Cooperative Networks