Nowadays, MIMO systems are playing an important role in wireless communications. In this paper, we propose a spatial-temporal adaptive MIMO beamforming scheme for single carrier transmission in frequency-selective fading channels with the assumption of perfect channel state information (CSI) at both the transmitter and receiver. The transmit and receive weight vectors for detecting the preceding signal and the receive weight vectors for detecting the delayed signals of the preceding signal are designed by an iterative update algorithm. Based on minimum mean square error (MMSE) method, the delayed versions of the preceding signal are exploited to maximize the output signal to interference and noise ratio (SINR) instead of suppressing them at the receiver. The improvement of output SINR is useful for MIMO systems to enhance the high-quality communication in broadband wireless systems.
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Huy Hoang PHAM, Tetsuki TANIGUCHI, Yoshio KARASAWA, "Spatial-Temporal Adaptive MIMO Beamforming for Frequency-Selective Fading Channels" in IEICE TRANSACTIONS on Communications,
vol. E90-B, no. 3, pp. 578-585, March 2007, doi: 10.1093/ietcom/e90-b.3.578.
Abstract: Nowadays, MIMO systems are playing an important role in wireless communications. In this paper, we propose a spatial-temporal adaptive MIMO beamforming scheme for single carrier transmission in frequency-selective fading channels with the assumption of perfect channel state information (CSI) at both the transmitter and receiver. The transmit and receive weight vectors for detecting the preceding signal and the receive weight vectors for detecting the delayed signals of the preceding signal are designed by an iterative update algorithm. Based on minimum mean square error (MMSE) method, the delayed versions of the preceding signal are exploited to maximize the output signal to interference and noise ratio (SINR) instead of suppressing them at the receiver. The improvement of output SINR is useful for MIMO systems to enhance the high-quality communication in broadband wireless systems.
URL: https://global.ieice.org/en_transactions/communications/10.1093/ietcom/e90-b.3.578/_p
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@ARTICLE{e90-b_3_578,
author={Huy Hoang PHAM, Tetsuki TANIGUCHI, Yoshio KARASAWA, },
journal={IEICE TRANSACTIONS on Communications},
title={Spatial-Temporal Adaptive MIMO Beamforming for Frequency-Selective Fading Channels},
year={2007},
volume={E90-B},
number={3},
pages={578-585},
abstract={Nowadays, MIMO systems are playing an important role in wireless communications. In this paper, we propose a spatial-temporal adaptive MIMO beamforming scheme for single carrier transmission in frequency-selective fading channels with the assumption of perfect channel state information (CSI) at both the transmitter and receiver. The transmit and receive weight vectors for detecting the preceding signal and the receive weight vectors for detecting the delayed signals of the preceding signal are designed by an iterative update algorithm. Based on minimum mean square error (MMSE) method, the delayed versions of the preceding signal are exploited to maximize the output signal to interference and noise ratio (SINR) instead of suppressing them at the receiver. The improvement of output SINR is useful for MIMO systems to enhance the high-quality communication in broadband wireless systems.},
keywords={},
doi={10.1093/ietcom/e90-b.3.578},
ISSN={1745-1345},
month={March},}
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TY - JOUR
TI - Spatial-Temporal Adaptive MIMO Beamforming for Frequency-Selective Fading Channels
T2 - IEICE TRANSACTIONS on Communications
SP - 578
EP - 585
AU - Huy Hoang PHAM
AU - Tetsuki TANIGUCHI
AU - Yoshio KARASAWA
PY - 2007
DO - 10.1093/ietcom/e90-b.3.578
JO - IEICE TRANSACTIONS on Communications
SN - 1745-1345
VL - E90-B
IS - 3
JA - IEICE TRANSACTIONS on Communications
Y1 - March 2007
AB - Nowadays, MIMO systems are playing an important role in wireless communications. In this paper, we propose a spatial-temporal adaptive MIMO beamforming scheme for single carrier transmission in frequency-selective fading channels with the assumption of perfect channel state information (CSI) at both the transmitter and receiver. The transmit and receive weight vectors for detecting the preceding signal and the receive weight vectors for detecting the delayed signals of the preceding signal are designed by an iterative update algorithm. Based on minimum mean square error (MMSE) method, the delayed versions of the preceding signal are exploited to maximize the output signal to interference and noise ratio (SINR) instead of suppressing them at the receiver. The improvement of output SINR is useful for MIMO systems to enhance the high-quality communication in broadband wireless systems.
ER -