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
Weighted sum-rate maximization using weighted MMSE for MIMO-BC beamforming design
ICC'09 Proceedings of the 2009 IEEE international conference on Communications
Efficient weighted sum rate maximization with linear precoding
IEEE Transactions on Signal Processing
Linear precoding in cooperative MIMO cellular networks with limited coordination clusters
IEEE Journal on Selected Areas in Communications - Special issue on cooperative communications in MIMO cellular networks
Linear transmission for rate optimization in MIMO broadcast channels
IEEE Transactions on Wireless Communications
Zero-Forcing Spatial Interweave with Greedy Scheduling
Wireless Personal Communications: An International Journal
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This paper focuses on linear transceiver design for rate optimization in multiuser Gaussian multple-input multiple-output (MIMO) systems. We focus on two design criteria: 1) maximizing the weighted sum rate subject to a total power constraint; 2) maximizing the minimum user rate subject to a total power constraint. For these problems, new power allocation strategies are derived, which can be formulated as geometric programs (GPs) involving mean square errors (MSEs). Based on these solutions, we propose iterative algorithms, where each iteration contains the optimization of the uplink power, uplink receive filters, and downlink receive filters. Monotonic convergence of the algorithms is proved. Simulations show that the algorithms outperform existing linear schemes. Additionally, we extend the results to other variations of the problems, such as, the problem of sum-rate constrained or user-rate constrained power minimization, and the problem of sum-rate maximization subject to user-rate constraints and a total power constraint.