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Low-complexity precoding {algorithms} are proposed in this work to reduce thecomputational complexity and improve the performance of regularized blockdiagonalization (RBD) {based} precoding {schemes} for large multi-user {MIMO}(MU-MIMO) systems. The proposed algorithms are based on a channel inversiontechnique, QR decompositions{,} and lattice reductions to decouple the MU-MIMOchannel into equivalent SU-MIMO channels. Simulation results show that theproposed precoding algorithms can achieve almost the same sum-rate performanceas RBD precoding, substantial bit error rate (BER) performance gains{,} and asimplified receiver structure, while requiring a lower complexity.

Low-Complexity Lattice Reduction-Aided Channel Inversion Methods for Large-Dimensional Multi-User MIMO Systems