Robust linear MIMO in the downlink: a worst-case optimization with ellipsoidal uncertainty regions
EURASIP Journal on Advances in Signal Processing
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 QoS-constrained optimization of downlink multiuser MISO systems
IEEE Transactions on Signal Processing
Non-linear transceiver designs with imperfect CSIT using convex optimization
WCNC'09 Proceedings of the 2009 IEEE conference on Wireless Communications & Networking Conference
Robust THP transceiver designs for multiuser MIMO downlink
WCNC'09 Proceedings of the 2009 IEEE conference on Wireless Communications & Networking Conference
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
A unifying approach to interference modeling for wireless networks
IEEE Transactions on Signal Processing
Robust Tomlinson-Harashima Precoders for Multiuser MISO Downlink with Imperfect CSI
Wireless Personal Communications: An International Journal
Robust MMSE precoding in MIMO channels with pre-fixed receivers
IEEE Transactions on Signal Processing
IEEE Transactions on Wireless Communications
Hi-index | 0.10 |
In this paper, we study the design of the transmitter in the downlink of a multiuser and multiantenna wireless communications system, considering the realistic scenario where only an imperfect estimate of the actual channel is available at both communication ends. Precisely, the actual channel is assumed to be inside an uncertainty region around the channel estimate, which models the imperfections of the channel knowledge that may arise from, e.g., estimation Gaussian errors, quantization effects, or combinations of both sources of errors. In this context, our objective is to design a robust power allocation among the information symbols that are to be sent to the users such that the total transmitted power is minimized, while maintaining the necessary quality of service to obtain reliable communication links between the base station and the users for any possible realization of the actual channel inside the uncertainty region. This robust power allocation is obtained as the solution to a convex optimization problem, which, in general, can be numerically solved in a very efficient way, and even for a particular case of the uncertainty region, a quasi-closed form solution can be found. Finally, the goodness of the robust proposed transmission scheme is presented through numerical results. Robust designs, imperfect CSI, multiantenna systems, broadcast channel, convex optimization.