Convex Optimization
Joint linear filter design in multi-user cooperative non-regenerative MIMO relay systems
EURASIP Journal on Wireless Communications and Networking - Special issue on optimization techniques in wireless communications
Joint linear filter design in multi-user non-regenerative MIMO-relay systems
ICC'09 Proceedings of the 2009 IEEE international conference on Communications
Power allocation for a MIMO relay system with multiple-antenna users
IEEE Transactions on Signal Processing
Minimum MSE design for multiuser MIMO relay
IEEE Communications Letters
IEEE Transactions on Signal Processing
MSE-based transceiver designs for the MIMO interference channel
IEEE Transactions on Wireless Communications
Joint optimization for one and two-way MIMO AF multiple-relay systems
IEEE Transactions on Wireless Communications
MIMO Relaying With Linear Processing for Multiuser Transmission in Fixed Relay Networks
IEEE Transactions on Signal Processing
Optimal Design of Non-Regenerative MIMO Wireless Relays
IEEE Transactions on Wireless Communications
Weighted sum-rate maximization using weighted MMSE for MIMO-BC beamforming design
IEEE Transactions on Wireless Communications - Part 1
Diversity and multiplexing: a fundamental tradeoff in multiple-antenna channels
IEEE Transactions on Information Theory
Cooperative diversity in wireless networks: Efficient protocols and outage behavior
IEEE Transactions on Information Theory
On the capacity of MIMO relay channels
IEEE Transactions on Information Theory
Fading relay channels: performance limits and space-time signal design
IEEE Journal on Selected Areas in Communications
Robust Design for Linear Non-Regenerative MIMO Relays With Imperfect Channel State Information
IEEE Transactions on Signal Processing
IEEE Transactions on Signal Processing
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This paper investigates the joint source, relay precoder and receive filters optimization, aiming to maximize the weighted sum rate (WSR) for non-regenerative downlink multiuser MIMO relay network with source-destination direct link. The joint transceiver is developed taking both the direct link and the relay link into consideration with individual source and relay power constraints. Since the WSR problem is generally non-convex and intractable, it's difficult to solve directly. Inspired by the recent results of relationship between the mutual information and the mean-square-error, we reformulate the WSR problem into a weighted sum mean square error minimization problem. An iterative algorithm is developed to solve the WSR problem. Simulation results demonstrate that the proposed algorithm offers significant performance gain over existing methods. In addition, we also propose a modified robust joint transceiver design against the imperfect channel state information.