IEEE Transactions on Signal Processing
Robust transceiver optimization in downlink multiuser MIMO systems
IEEE Transactions on Signal Processing
On the MSE-duality of the broadcast channel and the multiple access channel
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 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
Efficient linear precoding in downlink cooperative cellular networks with soft interference nulling
Allerton'09 Proceedings of the 47th annual Allerton conference on Communication, control, and computing
Distributed MIMO network optimization based on duality and local message passing
Allerton'09 Proceedings of the 47th annual Allerton conference on Communication, control, and computing
On the rate duality of MIMO interference channel and its application to sum rate maximization
GLOBECOM'09 Proceedings of the 28th IEEE conference on Global telecommunications
A complete description of the QoS feasibility region in the vector broadcast channel
IEEE Transactions on Signal Processing
Efficient weighted sum rate maximization with linear precoding
IEEE Transactions on Signal Processing
Linear transmission for rate optimization in MIMO broadcast channels
IEEE Transactions on Wireless Communications
MSE-based transceiver designs for the MIMO interference channel
IEEE Transactions on Wireless Communications
Utility Optimization Based on MSE for Parallel Broadcast Channels: The Square Root Law
Wireless Personal Communications: An International Journal
Multiuser MIMO Transceiver Design for Uplink and Downlink with Imperfect CSI
Wireless Personal Communications: An International Journal
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We address the problem of minimum mean square error (MMSE) transceiver design for point-to-multipoint transmission in multiuser multiple-input-multiple-output (MIMO) systems. We focus on the problem of minimizing the downlink sum-MSE under a sum power constraint. It is shown that this problem can be solved efficiently by exploiting a duality between the downlink and uplink MSE feasible regions. We propose two different optimization frameworks for downlink MMSE transceiver design. The first one solves an equivalent uplink problem, then the result is transferred to the original downlink problem. Duality ensures that any uplink MMSE scheme, e.g., linear MMSE reception or MMSE-decision feedback equalization (DFE), has a downlink counterpart. We propose two globally optimum algorithms based on convex optimization. The basic idea of the second framework is to perform optimization in an alternating manner by switching between the virtual uplink and downlink channels. This strategy exploits that the same MSE can be achieved in both links for a given choice of transmit and receive filters. This iteration is proven to be convergent.