Elements of information theory
Elements of information theory
Convex Optimization
Precoding Schemes for the MIMO-GBC
IZS '06 Proceedings of the 2006 International Zurich Seminar on Communications
On downlink beamforming with greedy user selection: performance analysis and a simple new algorithm
IEEE Transactions on Signal Processing - Part I
Precoding for Multiple Antenna Gaussian Broadcast Channels With Successive Zero-Forcing
IEEE Transactions on Signal Processing - Part II
Joint Design of Tx-Rx Beamformers in MIMO Downlink Channel
IEEE Transactions on Signal Processing
IEEE Transactions on Signal Processing
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
User Selection With Zero-Forcing Beamforming Achieves the Asymptotically Optimal Sum Rate
IEEE Transactions on Signal Processing - Part I
Precoding in multiantenna and multiuser communications
IEEE Transactions on Wireless Communications
Generalized multiuser orthogonal space-division multiplexing
IEEE Transactions on Wireless Communications
Rate maximization in multi-antenna broadcast channels with linear preprocessing
IEEE Transactions on Wireless Communications
On the achievable throughput of a multiantenna Gaussian broadcast channel
IEEE Transactions on Information Theory
Sum capacity of the vector Gaussian broadcast channel and uplink-downlink duality
IEEE Transactions on Information Theory
Duality, achievable rates, and sum-rate capacity of Gaussian MIMO broadcast channels
IEEE Transactions on Information Theory
Sum capacity of Gaussian vector broadcast channels
IEEE Transactions on Information Theory
Mutual information and minimum mean-square error in Gaussian channels
IEEE Transactions on Information Theory
Sum power iterative water-filling for multi-antenna Gaussian broadcast channels
IEEE Transactions on Information Theory
The Capacity Region of the Gaussian Multiple-Input Multiple-Output Broadcast Channel
IEEE Transactions on Information Theory
On the optimality of multiantenna broadcast scheduling using zero-forcing beamforming
IEEE Journal on Selected Areas in Communications
Linear transmission for rate optimization in MIMO broadcast channels
IEEE Transactions on Wireless Communications
Efficient QR-Based Multi-Mode Precoding for Limited Feedback Multi-User MIMO Systems
Wireless Personal Communications: An International Journal
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We consider linear precoding and decoding in the downlink of a multiuser multiple-input, multiple-output (MIMO) system, wherein each user may receive more than one data stream. We propose several mean squared error (MSE) based criteria for joint transmit-receive optimization and establish a series of relationships linking these criteria to the signal-to-interference-plus-noise ratios of individual data streams and the information theoretic channel capacity under linear minimum MSE decoding. In particular, we show that achieving the maximum sum throughput is equivalent to minimizing the product of MSE matrix determinants (PDetMSE). Since the PDetMSE minimization problem does not admit a computationally efficient solution, a simplified scalar version of the problem is considered that minimizes the product of mean squared errors (PMSE). An iterative algorithm is proposed to solve the PMSE problem, and is shown to provide near-optimal performance with greatly reduced computational complexity. Our simulations compare the achievable sum rates under linear precoding strategies to the sum capacity for the broadcast channel.