Elements of information theory
Elements of information theory
Convex Optimization
EURASIP Journal on Wireless Communications and Networking - Special issue on multiuser MIMO networks
Networked MIMO with clustered linear precoding
IEEE Transactions on Wireless Communications
On Gaussian MIMO BC-MAC duality with multiple transmit covariance constraints
ISIT'09 Proceedings of the 2009 IEEE international conference on Symposium on Information Theory - Volume 4
MIMO broadcast channel optimization under general linear constraints
ISIT'09 Proceedings of the 2009 IEEE international conference on Symposium on Information Theory - Volume 4
Linear precoding via conic optimization for fixed MIMO receivers
IEEE Transactions on Signal Processing
Zero-forcing methods for downlink spatial multiplexing in multiuser MIMO channels
IEEE Transactions on Signal Processing
Transmitter Optimization for the Multi-Antenna Downlink With Per-Antenna Power Constraints
IEEE Transactions on Signal Processing
Low complexity user selection algorithms for multiuser MIMO systems with block diagonalization
IEEE Transactions on Signal Processing
Zero-Forcing Precoding and Generalized Inverses
IEEE Transactions on Signal Processing
Network coordination for spectrally efficient communications in cellular systems
IEEE Wireless Communications
A joint-channel diagonalization for multiuser MIMO antenna systems
IEEE Transactions on Wireless Communications
A transmit preprocessing technique for multiuser MIMO systems using a decomposition approach
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
The Capacity Region of the Gaussian Multiple-Input Multiple-Output Broadcast Channel
IEEE Transactions on Information Theory
Sum Rate Characterization of Joint Multiple Cell-Site Processing
IEEE Transactions on Information Theory
Distributed Downlink Beamforming With Cooperative Base Stations
IEEE Transactions on Information Theory
Transmit beamforming and power control for cellular wireless systems
IEEE Journal on Selected Areas in Communications
On the optimality of multiantenna broadcast scheduling using zero-forcing beamforming
IEEE Journal on Selected Areas in Communications
Multiuser MISO transmitter optimization for intercell interference mitigation
IEEE Transactions on Signal Processing
Cooperative interference management with MISO beamforming
IEEE Transactions on Signal Processing
Multimode transmission in network MIMO downlink with incomplete CSI
EURASIP Journal on Advances in Signal Processing - Special issue on cooperative MIMO multicell networks
Optimal multiuser zero forcing with per-antenna power constraints for network MIMO coordination
EURASIP Journal on Wireless Communications and Networking - Special issue on multimedia communications over next generation wireless networks
SLNR-Based Transmit Beamforming for MIMO Wiretap Channel
Wireless Personal Communications: An International Journal
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Block diagonalization (BD) is a practical linear precoding technique that eliminates the inter-user interference in downlink multiuser multiple-input multiple-output (MIMO) systems. In this paper, we apply BD to the downlink transmission in a cooperative multi-cell MIMO system, where the signals from different base stations (BSs) to all the mobile stations (MSs) are jointly designed with the perfect knowledge of the downlink channels and transmit messages. Specifically, we study the optimal BD precoder design to maximize the weighted sum-rate of all the MSs subject to a set of per-BS power constraints. This design problem is formulated in an auxiliary MIMO broadcast channel (BC) with a set of transmit power constraints corresponding to those for individual BSs in the multi-cell system. By applying convex optimization techniques, this paper develops an efficient algorithm to solve this problem, and derives the closed-form expression for the optimal BD precoding matrix. It is revealed that the optimal BD precoding vectors for each MS in the per-BS power constraint case are in general non-orthogonal, which differs from the conventional orthogonal BD precoder design for the MIMO-BC under one single sum-power constraint. Moreover, for the special case of single-antenna BSs and MSs, the proposed solution reduces to the optimal zero-forcing beamforming (ZFBF) precoder design for the weighted sum-rate maximization in the multiple-input single-output (MISO) BC with per-antenna power constraints. Suboptimal and low-complexity BD/ZF-BF precoding schemes are also presented, and their achievable rates are compared against those with the optimal schemes.