PROJECT TITLE :

Low-Complexity Lattice Reduction-Aided Regularized Block Diagonalization for MU-MIMO Systems

ABSTRACT:

By employing the regularized block diagonalization (RBD) preprocessing technique, the MU-MIMO broadcast channel is decomposed into multiple parallel independent SU-MIMO channels and achieves the maximum diversity order at high knowledge rates. The computational complexity of RBD, but, is relatively high thanks to two singular value decomposition (SVD) operations. In this letter, an occasional-complexity lattice reduction-aided RBD is proposed. The first SVD is replaced by a QR decomposition, and the orthogonalization procedure provided by the second SVD is substituted by a lattice-reduction whose complexity is principally contributed by a QR decomposition. Simulation results show that the proposed algorithm can achieve nearly the identical add-rate as RBD, substantial bit error rate (BER) performance gains and a simplified receiver structure, while requiring a lower complexity.


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