Matrix analysis and applied linear algebra
Matrix analysis and applied linear algebra
Zero-forcing methods for downlink spatial multiplexing in multiuser MIMO channels
IEEE Transactions on Signal Processing
Low complexity user selection algorithms for multiuser MIMO systems with block diagonalization
IEEE Transactions on Signal Processing
A transmit preprocessing technique for multiuser MIMO systems using a decomposition approach
IEEE Transactions on Wireless Communications
Dirty-paper coding versus TDMA for MIMO Broadcast channels
IEEE Transactions on Information Theory
On the optimality of multiantenna broadcast scheduling using zero-forcing beamforming
IEEE Journal on Selected Areas in Communications
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A new volume-based scheduling algorithm for user selection is proposed for a multiuser multiple-input and multiple-output downlink system based on block diagonalization precoding. The proposed algorithm has the advantage of the reduced computational complexity achieved by using the new volume-based user selection method that uses the product of the diagonal elements in the upper-triangular matrix obtained via Householder reduction procedure of QR factorization to the selected users channel matrix. The new algorithm provides the same sum-rate capacity in comparison with other user selection algorithms, such as semi-orthogonal user selection and capacity-based user selection algorithms, but with significantly reduced complexity.