A transmit preprocessing technique for multiuser MIMO systems using a decomposition approach

By R. Choi, Ross Murch. IEEE Transactions on Wireless Communications, 2004

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Low complexity user selection algorithms for multiuser MIMO systems with block diagonalization (2006, methodology): “In this section, we introduce the system model and briefly describe the block diagonalization method for multiuser MIMO systems presented in [7], [8].”
Networked MIMO with clustered linear precoding (2008, methodology): “A more practical precoding technique for broadcast MIMO channels is block diagonalization (BD) [28]–[32], which provides each user an interference-free channel with properly designed linear precoding matrices.”
Generalized Design of Multi-User MIMO Precoding Matrices (2008, methodology): “Thereby, a MU MIMO downlink channel is decomposed into multiple parallel independent SU MIMO channels [16], [17].”
Linear precoding via conic optimization for fixed MIMO receivers (2006, methodology): “A linear precoding technique based on a decomposition approach was proposed in [30], and a linear precoder design for non linear maximum likelihood (ML) receivers was discussed in [31].”
Shifting the MIMO Paradigm (2007, methodology): “To extend this algorithm to multiple data streams for each user, the matrix of right singular vectors is used based on the number of data streams and is used to calculate the effective channel matrix [18]–[20].”