Vector quantization and signal compression
Vector quantization and signal compression
Elements of information theory
Elements of information theory
Fundamentals of wireless communication
Fundamentals of wireless communication
Multiuser MIMO achievable rates with downlink training and channel state
IEEE Transactions on Information Theory
On downlink beamforming with greedy user selection: performance analysis and a simple new algorithm
IEEE Transactions on Signal Processing - Part I
Interpolation based transmit beamforming for MIMO-OFDM with limited feedback
IEEE Transactions on Signal Processing
Sinusoidal Modeling and Adaptive Channel Prediction in Mobile OFDM Systems
IEEE Transactions on Signal Processing
Fast transfer of channel state information in wireless systems
IEEE Transactions on Signal Processing
On the achievable throughput of a multiantenna Gaussian broadcast channel
IEEE Transactions on Information Theory
Sum capacity of the vector Gaussian broadcast channel and uplink-downlink duality
IEEE Transactions on Information Theory
Duality, achievable rates, and sum-rate capacity of Gaussian MIMO broadcast channels
IEEE Transactions on Information Theory
Sum capacity of Gaussian vector broadcast channels
IEEE Transactions on Information Theory
Sum-capacity computation for the Gaussian vector broadcast channel via dual decomposition
IEEE Transactions on Information Theory
The Capacity Region of the Gaussian Multiple-Input Multiple-Output Broadcast Channel
IEEE Transactions on Information Theory
MIMO Broadcast Channels With Finite-Rate Feedback
IEEE Transactions on Information Theory
On the Distortion SNR Exponent of Hybrid Digital–Analog Space–Time Coding
IEEE Transactions on Information Theory
On the optimality of multiantenna broadcast scheduling using zero-forcing beamforming
IEEE Journal on Selected Areas in Communications
An iterative water-filling algorithm for maximum weighted sum-rate of Gaussian MIMO-BC
IEEE Journal on Selected Areas in Communications
Multi-Antenna Downlink Channels with Limited Feedback and User Selection
IEEE Journal on Selected Areas in Communications
Limited-rate channel state feedback for multicarrier block fading channels
IEEE Transactions on Information Theory
Multimode transmission in network MIMO downlink with incomplete CSI
EURASIP Journal on Advances in Signal Processing - Special issue on cooperative MIMO multicell networks
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Channel state feedback schemes for the MIMO broadcast downlink have been widely studied in the frequencyflat case. This work focuses on the more relevant frequency selective case, where some important new aspects emerge. We consider a MIMO-OFDM broadcast channel and compare achievable ergodic rates under three channel state feedback schemes: analog feedback, direction quantized feedback and "time-domain" channel quantized feedback. The first two schemes are direct extensions of previously proposed schemes. The third scheme is novel, and it is directly inspired by rate-distortion theory of Gaussian correlated sources. For each scheme we derive the conditions under which the system achieves full multiplexing gain. The key difference with respect to the widely treated frequency-flat case is that in MIMO-OFDM the frequencydomain channel transfer function is a Gaussian correlated source. The new time-domain quantization scheme takes advantage of the channel frequency correlation structure and outperforms the other schemes. Furthermore, it is by far simpler to implement than complicated spherical vector quantization. In particular, we observe that no structured codebook design and vector quantization is actually needed for efficient channel state information feedback.