Power allocation game for fading MIMO multiple access channels with antenna correlation
Proceedings of the 2nd international conference on Performance evaluation methodologies and tools
Optimality of beamforming in fading MIMO multiple access channels
IEEE Transactions on Communications
Joint beamforming for multiaccess MIMO systems with finite rate feedback
IEEE Transactions on Wireless Communications
Deconstructing multiantenna fading channels
IEEE Transactions on Signal Processing
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
Transmitter Optimization and Beamforming Optimality Conditions for Double-Scattering MIMO Channels
IEEE Transactions on Wireless Communications
IEEE Transactions on Information Theory
Outage mutual information of space-time MIMO channels
IEEE Transactions on Information Theory
Correlated MIMO wireless channels: capacity, optimal signaling, and asymptotics
IEEE Transactions on Information Theory
Impact of antenna correlation on the capacity of multiantenna channels
IEEE Transactions on Information Theory
Optimum Power Allocation for Single-User MIMO and Multi-User MIMO-MAC with Partial CSI
IEEE Journal on Selected Areas in Communications
Hi-index | 35.68 |
In this correspondence, we consider the optimality of beamforming for achieving the ergodic capacity of multiple-input multiple-output (MIMO) multiple access channel (MAC) via virtual representation (VR) model. We assume that the receiver knows the channel state information (CSI) perfectly but that the transmitter knows only partial CSI, i.e., the channel statistics. For the single-user case, we prove that the capacity-achieving beamforming angle (c.b.a.) is unique, and there exists a signal-to-noise ratio (SNR) threshold below which beamforming is optimal and above which beamforming is strictly suboptimal. For the multi-user case, we show that the c.b.a is not unique and we obtain explicit conditions that determine the beamforming angles for a special class of correlated MAC-VR models. Under mild conditions, we show that a large class of power allocation schemes can achieve the sum-capacity within a constant as the number of users in the system becomes large. The beamforming scheme, in particular, is shown to be asymptotically capacity-achieving only for certain MAC-VR models.