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» On Using Channel Prediction in Adaptive Beamforming Systems
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ICASSP
2011
IEEE
12 years 9 months ago
Grassmannian predictive coding for limited feedback multiuser MIMO systems
Grassmannian beamforming is an efficient way to quantize channel state information in multiple-input multiple-output wireless systems. Unfortunately, multiuser systems require la...
Takao Inoue, Robert W. Heath Jr.
GLOBECOM
2007
IEEE
14 years 9 days ago
Analysis of MIMO Beamforming with Channel Response Variations Over the Frame Interval
Abstract— Important throughput improvements in multipleinput multiple-output (MIMO) fading channels can be obtained by merging beamforming at the transmitter and maximal ratio co...
Eduardo Martos-Naya, José F. Paris, Unai Fe...
VTC
2007
IEEE
135views Communications» more  VTC 2007»
14 years 7 days ago
MBER Turbo Multiuser Beamforming Aided QPSK Receiver Design Using EXIT Chart Analysis
Abstract— This paper studies the mutual information transfer characteristics of a novel iterative soft interference cancellation (SIC) aided beamforming receiver designed for qua...
Shuang Tan, Sheng Chen, Lajos Hanzo
GLOBECOM
2006
IEEE
14 years 15 hour ago
MIMO-OFDM Beamforming for Improved Channel Estimation
tic PHY Abstraction Technique for Link Adaptation and MIMO Switching . . . .Y.-S. Choi and S. M. Alamouti 960 A Novel Approach to MIMO Transmission Using a Single RF Front End . .A...
Cong Shen, Michael P. Fitz
GLOBECOM
2008
IEEE
13 years 7 months ago
User Selection for Multiple-Antenna Broadcast Channel with Zero-Forcing Beamforming
Abstract—This paper investigates the zero-forcing (ZF) beamforming transmit strategy in the multiple-antenna multiuser downlink systems. We consider the case of mobile users equi...
Saeed Kaviani, Witold A. Krzymien