Scheduling for multiuser MIMO downlink channels with ranking-based feedback
EURASIP Journal on Advances in Signal Processing
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
IEEE Transactions on Communications
IEEE Transactions on Signal Processing
IEEE Transactions on Wireless Communications
Achievable throughput of multi-mode multiuser MIMO with imperfect CSI constraints
ISIT'09 Proceedings of the 2009 IEEE international conference on Symposium on Information Theory - Volume 4
On the selection of semi-orthogonal users for zero-forcing beamforming
ISIT'09 Proceedings of the 2009 IEEE international conference on Symposium on Information Theory - Volume 2
Quasi-convex designs of max-min linear BC precoding with outage QoS constraints
ISWCS'09 Proceedings of the 6th international conference on Symposium on Wireless Communication Systems
Performance of vector perturbation multiuser MIMO systems with limited feedback
IEEE Transactions on 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
Vector perturbation precoding for MIMO broadcast channel with quantized channel feedback
GLOBECOM'09 Proceedings of the 28th IEEE conference on Global telecommunications
Near successive refinement of Gaussian vectors in Grassmannian space
ICC'09 Proceedings of the 2009 IEEE international conference on Communications
Multiuser MIMO achievable rates with downlink training and channel state
IEEE Transactions on Information Theory
MIMO downlink scheduling with non-perfect channel state knowledge
IEEE Transactions on Communications
Trellis coded beamforming vector quantization with fractional bits per antenna
Asilomar'09 Proceedings of the 43rd Asilomar conference on Signals, systems and computers
Multiuser MISO transmitter optimization for intercell interference mitigation
IEEE Transactions on Signal Processing
Comparison of practical feedback algorithms for multiuser MIMO
IEEE Transactions on Communications
Scheduling for multiuser MIMO broadcast systems: transmit or receive beamforming?
IEEE Transactions on Wireless Communications
USC SDR, an easy-to-program, high data rate, real time software radio platform
Proceedings of the second workshop on Software radio implementation forum
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In this paper, we consider two different models of partial channel state information at the base station transmitter (CSIT) for multiple antenna broadcast channels: 1) the shape feedback model where the normalized channel vector of each user is available at the base station and 2) the limited feedback model where each user quantizes its channel vector according to a rotated codebook that is optimal in the sense of mean squared error and feeds back the codeword index. This paper is focused on characterizing the sum rate performance of both zero-forcing dirty paper coding (ZFDPC) systems and channel inversion (CI) systems under the given two partial CSIT models. Intuitively speaking, a system with shape feedback loses the sum rate gain of adaptive power allocation. However, shape feedback still provides enough channel knowledge for ZFDPC and CI to approach their own optimal throughput in the high signal-to-noise ratio (SNR) regime. As for limited feedback, we derive sum rate bounds for both signaling schemes and link their throughput performance to some basic properties of the quantization codebook. Interestingly, we find that limited feedback employing a fixed codebook leads to a sum rate ceiling for both schemes for asymptotically high SNR.