Greedy SINR maximization in collaborative multibase wireless systems
EURASIP Journal on Wireless Communications and Networking - Special issue on multiuser MIMO networks
An approach to optimum joint beamforming design in a MIMO-OFDM multiuser system
EURASIP Journal on Wireless Communications and Networking - Special issue on multiuser MIMO networks
Feedback reduction in uplink MIMO OFDM systems by chunk optimization
EURASIP Journal on Advances in Signal Processing
Robust linear MIMO in the downlink: a worst-case optimization with ellipsoidal uncertainty regions
EURASIP Journal on Advances in Signal Processing
Optimality of beamforming in fading MIMO multiple access channels
IEEE Transactions on Communications
Sum-rate analysis of multiuser MIMO system with zero-forcing transmit beamforming
IEEE Transactions on Communications
The effect of unequal power reception in cellular MIMO networks
Signal Processing
IEEE Transactions on Signal Processing
Optimality of beamforming for MIMO multiple access channels via virtual representation
IEEE Transactions on Signal Processing
Uplink multiuser MIMO transceiver design with transmitting beamforming under power constraints
MILCOM'06 Proceedings of the 2006 IEEE conference on Military communications
Uplink multiuser MIMO transceiver design with transmitting beamforming under power constraints
MILCOM'06 Proceedings of the 2006 IEEE conference on Military communications
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This paper considers the optimal uplink transmission strategy that achieves the sum-capacity in a multiuser multi-antenna wireless system. Assuming an independent identically distributed block-fading model with transmitter channel side information, beamforming for each remote user is shown to be necessary for achieving sum-capacity when there is a large number of users in the system. This result stands even in the case where each user is equipped with a large number of transmit antennas, and it can be readily extended to channels with intersymbol interference if an orthogonal frequency division multiplexing modulation is assumed. This result is obtained by deriving a rank bound on the transmit covariance matrices, and it suggests that all users should cooperate by each user using only a small portion of available dimensions. Based on the result, a suboptimal transmit scheme is proposed for the situation where only partial channel side information is available at each transmitter. Simulations show that the suboptimal scheme is not only able to achieve a sum rate very close to the capacity, but also insensitive to channel estimation error.