Mode switching for the multi-antenna broadcast channel based on delay and channel quantization
EURASIP Journal on Advances in Signal Processing - Multiuser MIMO Transmission with Limited Feedback, Cooperation, and Coordination
A simple dual-mode limited feedback multiuser downlink system
IEEE Transactions on Communications
Multiple Antenna Broadcast Channels With Shape Feedback and Limited Feedback
IEEE Transactions on Signal Processing - Part I
On the performance of random vector quantization limited feedback beamforming in a MISO system
IEEE Transactions on Wireless Communications
MIMO Broadcast Channels With Finite-Rate Feedback
IEEE Transactions on Information Theory
High SNR Analysis for MIMO Broadcast Channels: Dirty Paper Coding Versus Linear Precoding
IEEE Transactions on Information Theory
Quantization Bounds on Grassmann Manifolds and Applications to MIMO Communications
IEEE Transactions on Information Theory
Multi-Antenna Downlink Channels with Limited Feedback and User Selection
IEEE Journal on Selected Areas in Communications
An overview of limited feedback in wireless communication systems
IEEE Journal on Selected Areas in Communications
Multi-mode transmission for MIMO broadcast channels with PU2RC
APCC'09 Proceedings of the 15th Asia-Pacific conference on Communications
Block diagonalization in the MIMO broadcast channel with delayed CSIT
GLOBECOM'09 Proceedings of the 28th IEEE conference on Global telecommunications
Wireless Personal Communications: An International Journal
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In the multiple-input multiple-output (MIMO) broadcast channel with imperfect channel state information (CSI), neither the capacity nor the optimal transmission technique have been fully discovered. In this paper, we derive achievable ergodic rates for a multi-antenna fading broadcast channel when CSI at the transmitter (CSIT) is delayed and quantized. It is shown that not all possible users should be supported with spatial division multiplexing due to the residual inter-user interference caused by imperfect CSIT. Based on the derived achievable rates, we propose a multi-mode transmission strategy to maximize the throughput, which adaptively adjusts the number of active users based on the channel statistics information.