A hybrid approach to spatial multiplexing in multiuser MIMO downlinks
EURASIP Journal on Wireless Communications and Networking - Special issue on multiuser MIMO networks
Design of FIR precoders and equalizers for broadband MIMO wireless channels with power constraints
EURASIP Journal on Wireless Communications and Networking - Special issue on multiuser MIMO networks
MIMO transceiver design via majorization theory
Foundations and Trends in Communications and Information Theory
Sum Throughput Enhancements in Quality of Service Constrained Multiuser MIMO OFDM Systems
Wireless Personal Communications: An International Journal
Worst-case robust MIMO transmission with imperfect channel knowledge
IEEE Transactions on Signal Processing
Adaptive resource allocation for multiuser MIMO systems with transmit group MMSE
IEEE Transactions on Wireless Communications
Delay-optimal power and precoder adaptation for multi-stream MIMO systems
IEEE Transactions on Wireless Communications
Low complexity precoder design for delay sensitive multi-stream MIMO systems
WCNC'09 Proceedings of the 2009 IEEE conference on Wireless Communications & Networking Conference
IEEE Transactions on Communications
Distributed margin adaptive resource allocation in MIMO OFDMA networks
IEEE Transactions on Communications
Robust MMSE precoding in MIMO channels with pre-fixed receivers
IEEE Transactions on Signal Processing
MIMO channel estimation in correlated fading environments
IEEE Transactions on Wireless Communications
MSE-based transceiver designs for the MIMO interference channel
IEEE Transactions on Wireless Communications
Robustness maximization of parallel multichannel systems
Journal of Electrical and Computer Engineering - Special issue on Resource Allocation in Communications and Computing
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This paper considers vector communications through multiple-input multiple-output (MIMO) channels with a set of quality of service (QoS) requirements for the simultaneously established substreams. Linear transmit-receive processing (also termed linear precoder at the transmitter and linear equalizer at the receiver) is designed to satisfy the QoS constraints with minimum transmitted power (the exact conditions under which the problem becomes unfeasible are given). Although the original problem is a complicated nonconvex problem with matrix-valued variables, with the aid of majorization theory, we reformulate it as a simple convex optimization problem with scalar variables. We then propose a practical and efficient multilevel water-filling algorithm to optimally solve the problem for the general case of different QoS requirements. The optimal transmit-receive processing is shown to diagonalize the channel matrix only after a very specific prerotation of the data symbols. For situations in which the resulting transmit power is too large, we give the precise way to relax the QoS constraints in order to reduce the required power based on a perturbation analysis. We also propose a robust design under channel estimation errors that has an important interest for practical systems. Numerical results from simulations are given to support the mathematical development of the problem.