The Weights Determination Scheme for MIMO Beamforming in Frequency-Selective Fading Channels

Huy Hoang PHAM; Tetsuki TANIGUCHI; Yoshio KARASAWA

The Weights Determination Scheme for MIMO Beamforming in Frequency-Selective Fading Channels

Huy Hoang PHAM, Tetsuki TANIGUCHI, Yoshio KARASAWA

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Smart or adaptive antennas promise to provide significant space-time communications against fading in wireless communication systems. In this paper, we propose multiple-input multiple-output (MIMO) beamforming for frequency-selective fading channels to maximize the Signal-to-Noise and Interference Ratio (SINR) based on an iterative update algorithm of transmit and receive weight vectors with prior knowledge of the channel state information (CSI) at both the transmitter and receiver. We derive the necessary conditions for an optimum weight vector solution and propose an iterative weight update algorithm for an optimal SINR reception. The Maximum Signal-to-Noise (MSN) method, where noise includes the additive gaussian noise and interference signals, is used as a criterion. The proposed MIMO with M N arrays allows the cancellation of M + N - 2 delayed channels. Computer simulations are presented to verify our analysis. The results show that significant improvements in performance are possible in wireless communication systems.

Publication: IEICE TRANSACTIONS on Communications Vol.E87-B No.8 pp.2243-2249

Publication Date: 2004/08/01

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Type of Manuscript: PAPER

Category: Wireless Communication Technology

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Huy Hoang PHAM, Tetsuki TANIGUCHI, Yoshio KARASAWA, "The Weights Determination Scheme for MIMO Beamforming in Frequency-Selective Fading Channels" in IEICE TRANSACTIONS on Communications, vol. E87-B, no. 8, pp. 2243-2249, August 2004, doi: .
Abstract: Smart or adaptive antennas promise to provide significant space-time communications against fading in wireless communication systems. In this paper, we propose multiple-input multiple-output (MIMO) beamforming for frequency-selective fading channels to maximize the Signal-to-Noise and Interference Ratio (SINR) based on an iterative update algorithm of transmit and receive weight vectors with prior knowledge of the channel state information (CSI) at both the transmitter and receiver. We derive the necessary conditions for an optimum weight vector solution and propose an iterative weight update algorithm for an optimal SINR reception. The Maximum Signal-to-Noise (MSN) method, where noise includes the additive gaussian noise and interference signals, is used as a criterion. The proposed MIMO with M N arrays allows the cancellation of M + N - 2 delayed channels. Computer simulations are presented to verify our analysis. The results show that significant improvements in performance are possible in wireless communication systems.
URL: https://globals.ieice.org/en_transactions/communications/10.1587/e87-b_8_2243/_p

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@ARTICLE{e87-b_8_2243,
author={Huy Hoang PHAM, Tetsuki TANIGUCHI, Yoshio KARASAWA, },
journal={IEICE TRANSACTIONS on Communications},
title={The Weights Determination Scheme for MIMO Beamforming in Frequency-Selective Fading Channels},
year={2004},
volume={E87-B},
number={8},
pages={2243-2249},
abstract={Smart or adaptive antennas promise to provide significant space-time communications against fading in wireless communication systems. In this paper, we propose multiple-input multiple-output (MIMO) beamforming for frequency-selective fading channels to maximize the Signal-to-Noise and Interference Ratio (SINR) based on an iterative update algorithm of transmit and receive weight vectors with prior knowledge of the channel state information (CSI) at both the transmitter and receiver. We derive the necessary conditions for an optimum weight vector solution and propose an iterative weight update algorithm for an optimal SINR reception. The Maximum Signal-to-Noise (MSN) method, where noise includes the additive gaussian noise and interference signals, is used as a criterion. The proposed MIMO with M N arrays allows the cancellation of M + N - 2 delayed channels. Computer simulations are presented to verify our analysis. The results show that significant improvements in performance are possible in wireless communication systems.},
keywords={},
doi={},
ISSN={},
month={August},}

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TY - JOUR
TI - The Weights Determination Scheme for MIMO Beamforming in Frequency-Selective Fading Channels
T2 - IEICE TRANSACTIONS on Communications
SP - 2243
EP - 2249
AU - Huy Hoang PHAM
AU - Tetsuki TANIGUCHI
AU - Yoshio KARASAWA
PY - 2004
DO -
JO - IEICE TRANSACTIONS on Communications
SN -
VL - E87-B
IS - 8
JA - IEICE TRANSACTIONS on Communications
Y1 - August 2004
AB - Smart or adaptive antennas promise to provide significant space-time communications against fading in wireless communication systems. In this paper, we propose multiple-input multiple-output (MIMO) beamforming for frequency-selective fading channels to maximize the Signal-to-Noise and Interference Ratio (SINR) based on an iterative update algorithm of transmit and receive weight vectors with prior knowledge of the channel state information (CSI) at both the transmitter and receiver. We derive the necessary conditions for an optimum weight vector solution and propose an iterative weight update algorithm for an optimal SINR reception. The Maximum Signal-to-Noise (MSN) method, where noise includes the additive gaussian noise and interference signals, is used as a criterion. The proposed MIMO with M N arrays allows the cancellation of M + N - 2 delayed channels. Computer simulations are presented to verify our analysis. The results show that significant improvements in performance are possible in wireless communication systems.
ER -