Greedy SINR maximization in collaborative multibase wireless systems
EURASIP Journal on Wireless Communications and Networking - Special issue on multiuser MIMO networks
EURASIP Journal on Wireless Communications and Networking - Special issue on multiuser MIMO networks
Proceedings of the 2006 international conference on Wireless communications and mobile computing
Adaptive beamforming for binary phase shift keying communication systems
Signal Processing
MIMO transceiver design via majorization theory
Foundations and Trends in Communications and Information Theory
Majorization and matrix-monotone functions in wireless communications
Foundations and Trends in Communications and Information Theory
Robust Linear Transmit/Receive Processing for Correlated MIMO Downlink with Imperfect CSI
IEICE Transactions on Fundamentals of Electronics, Communications and Computer Sciences
On the MSE-duality of the broadcast channel and the multiple access channel
IEEE Transactions on Signal Processing
Transmission strategies in MIMO ad hoc networks
EURASIP Journal on Wireless Communications and Networking - Special issue on optimization techniques in wireless communications
WCNC'09 Proceedings of the 2009 IEEE conference on Wireless Communications & Networking Conference
Communications-inspired sensing: a case study on waveform design
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
Utility Optimization Based on MSE for Parallel Broadcast Channels: The Square Root Law
Wireless Personal Communications: An International Journal
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In this work, we study the multiuser multiple-input multiple-output (MIMO) multiple access channel (MAC) under the assumption that the base station performs linear multiuser minimum mean-square error (MMSE) detection. We derive the average normalized MSE and the individual MSEs of users. At first, we optimize the average normalized MSE with respect to the transmit covariance matrices of the users. Next, adaptive power allocation is applied to further minimize the average normalized MSE. This leads to the general average normalized MSE optimization under a sum power constraint. We analyze the optimization problems and their connections by their Karush-Kuhn-Tucker conditions. The covariance matrix optimization is solved by iteratively single-user average MSE optimization in which the interference is treated as noise. We develop an iterative algorithm that performs power allocation and covariance matrix optimization. In addition to this, we study the achievable MSE region. We show that the MSE region is convex for the two-user MIMO case. Furthermore, we characterize the optimum power allocation among the users with regard to the single-user range. We show that the user with the maximum singular value of its channel matrix is the first supported user. For low SNR values, the optimal strategy is to have the best user transmitting only. In addition, we derive the individual MSE using single-user MMSE detectors and study the fulfillment of MSE requirements.