Robust linear MIMO in the downlink: a worst-case optimization with ellipsoidal uncertainty regions
EURASIP Journal on Advances in Signal Processing
Wireless Personal Communications: An International Journal
IEEE Transactions on Signal Processing
Robust transceiver optimization in downlink multiuser MIMO systems
IEEE Transactions on Signal Processing
Worst-case robust MIMO transmission with imperfect channel knowledge
IEEE Transactions on Signal Processing
Robust collaborative-relay beamforming
IEEE Transactions on Signal Processing
Robust QoS-constrained optimization of downlink multiuser MISO systems
IEEE Transactions on Signal Processing
Robust cognitive beamforming with bounded channel uncertainties
IEEE Transactions on Signal Processing
Robust THP transceiver designs for multiuser MIMO downlink with imperfect CSIT
EURASIP Journal on Advances in Signal Processing - Multiuser MIMO Transmission with Limited Feedback, Cooperation, and Coordination
Robust spectrum management for DMT-based systems
IEEE Transactions on Signal Processing
Robust joint transceiver power allocation for multi-user downlink MIMO transmissions
ICACT'10 Proceedings of the 12th international conference on Advanced communication technology
IEEE Transactions on Signal Processing
IEEE Transactions on Signal Processing
Robust MMSE precoding in MIMO channels with pre-fixed receivers
IEEE Transactions on Signal Processing
IEEE Transactions on Signal Processing
On the robustness of transmit beamforming
IEEE Transactions on Signal Processing
IEEE Transactions on Signal Processing
IEEE Transactions on Wireless Communications
EURASIP Journal on Advances in Signal Processing
Robust Uniform Channel Decomposition and Power Allocation for MIMO Systems with Imperfect CSI
Wireless Personal Communications: An International Journal
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This paper considers a wireless communication system with multiple transmit and receive antennas, i.e., a multiple-input-multiple-output (MIMO) channel. The objective is to design the transmitter according to an imperfect channel estimate, where the errors are explicitly taken into account to obtain a robust design under the maximin or worst case philosophy. The robust transmission scheme is composed of an orthogonal space-time block code (OSTBC), whose outputs are transmitted through the eigenmodes of the channel estimate with an appropriate power allocation among them. At the receiver, the signal is detected assuming a perfect channel knowledge. The optimization problem corresponding to the design of the power allocation among the estimated eigenmodes, whose goal is the maximization of the signal-to-noise ratio (SNR), is transformed to a simple convex problem that can be easily solved. Different sources of errors are considered in the channel estimate, such as the Gaussian noise from the estimation process and the errors from the quantization of the channel estimate, among others. For the case of Gaussian noise, the robust power allocation admits a closed-form expression. Finally, the benefits of the proposed design are evaluated and compared with the pure OSTBC and nonrobust approaches.