Adaptive beamforming with dimension reduction in spatially correlated MISO channels

Authors:
Jae-Yun Ko;Yong-Hwan Lee
Affiliations:
School of Electrical Engineering and Computer Science and INMC, Seoul National University, Seoul, Korea;School of Electrical Engineering and Computer Science and INMC, Seoul National University, Seoul, Korea
Venue:
IEEE Transactions on Wireless Communications
Year:
2009

Citing 8
Cited 0

Microwave Mobile Communications

Microwave Mobile Communications
Optimized rate-adaptive PSAM for MIMO MRC systems with transmit and receive CSI imperfections

IEEE Transactions on Communications
Transmitter optimization and optimality of beamforming for multiple antenna systems

IEEE Transactions on Wireless Communications
On the performance of random vector quantization limited feedback beamforming in a MISO system

IEEE Transactions on Wireless Communications
Grassmannian beamforming for multiple-input multiple-output wireless systems

IEEE Transactions on Information Theory
MIMO Broadcast Channels With Finite-Rate Feedback

IEEE Transactions on Information Theory
Efficient use of side information in multiple-antenna data transmission over fading channels

IEEE Journal on Selected Areas in Communications
A stochastic MIMO radio channel model with experimental validation

IEEE Journal on Selected Areas in Communications

Quantified Score

Hi-index	0.01

Visualization

Abstract

In this paper, we propose an adaptive beamforming scheme that generates the beam weight using dominant eigenvectors of the spatial covariance matrix. The number of eigenvectors used for the generation of beam weight is determined to maximize the signal-to-noise ratio (SNR) for given feedback constraints (e.g., the amount of feedback information and feedback delay). It is shown that the conventional limited feedback beamforming and eigen-beamforming are special cases of the proposed scheme. Simulation results show that the proposed beamforming scheme can effectively be applied to spatially correlated channels.