Matrix analysis
Microwave Mobile Communications
Microwave Mobile Communications
On Limits of Wireless Communications in a Fading Environment when UsingMultiple Antennas
Wireless Personal Communications: An International Journal
Optimal Transmission with Imperfect Channel State Information at theTransmit Antenna Array
Wireless Personal Communications: An International Journal
The optimality of beamforming in uplink multiuser wireless systems
IEEE Transactions on Wireless Communications
Transmitter optimization and optimality of beamforming for multiple antenna systems
IEEE Transactions on Wireless Communications
IEEE Transactions on Wireless Communications
Capacity-achieving input covariance for single-user multi-antenna channels
IEEE Transactions on Wireless Communications
IEEE Transactions on Information Theory
Space-time transmit precoding with imperfect feedback
IEEE Transactions on Information Theory
Capacity scaling in MIMO wireless systems under correlated fading
IEEE Transactions on Information Theory
On the capacity of multiuser wireless channels with multiple antennas
IEEE Transactions on Information Theory
Multiple-antenna channel hardening and its implications for rate feedback and scheduling
IEEE Transactions on Information Theory
Monotonicity results for coherent MIMO Rician channels
IEEE Transactions on Information Theory
Spectral efficiency of MIMO multiaccess systems with single-user decoding
IEEE Journal on Selected Areas in Communications
Optimum Power Allocation for Single-User MIMO and Multi-User MIMO-MAC with Partial CSI
IEEE Journal on Selected Areas in Communications
Power allocation game for fading MIMO multiple access channels with antenna correlation
Proceedings of the 2nd international conference on Performance evaluation methodologies and tools
Using cross-system diversity in heterogeneous networks: Throughput optimization
Performance Evaluation
Power allocation games for MIMO multiple access channels with coordination
IEEE Transactions on Wireless Communications
Joint channel estimation and resource allocation for MIMO systems: part I: single-user analysis
IEEE Transactions on Wireless Communications
IEEE Transactions on Wireless Communications
IEEE Transactions on Signal Processing
Optimality of beamforming for MIMO multiple access channels via virtual representation
IEEE Transactions on Signal Processing
IEEE Communications Letters
Capacity of MIMO-MAC with transmit channel knowledge in the low SNR regime
IEEE Transactions on Wireless Communications
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We consider the sum capacity of a multi-input multi-output (MIMO) multiple access channel (MAC) where the receiver has the perfect channel state information (CSI), while the transmitters have either no or partial CSI. When the transmitters have partial CSI, it is in the form of either the covariance matrix of the channel or the mean matrix of the channel. For the covariance feedback case, we mainly consider physical models that result in single-sided correlation structures. For the mean feedback case, we consider physical models that result in in-phase received signals. Under these assumptions, we analyze the MIMO-MAC from three different viewpoints. First, we consider a finite-sized system. We show that the optimum transmit directions of each user are the eigenvectors of its own channel covariance and mean feedback matrices, in the covariance and mean feedback models, respectively. Also, we find the conditions under which beamforming is optimal for all users. Second, in the covariance feedback case, we prove that the region where beamforming is optimal for all users gets larger with the addition of new users into the system. In the mean feedback case, we show through simulations that this is not necessarily true. Third, we consider the asymptotic case where the number of users is large. We show that in both no and partial CSI cases, beamforming is asymptotically optimal. In particular, in the case of no CSI, we show that a simple form of beamforming, which may be characterized as an arbitrary antenna selection scheme, achieves the sum capacity. In the case of partial CSI, we show that beamforming in the direction of the strongest eigenvector of the channel feedback matrix achieves the sum capacity. Finally, we generalize our covariance feedback results to double-sided correlation structures in the Appendix.