The Weights Determination Scheme for MIMO Beamforming in Frequency-Selective Fading Channels(Wireless Communication Technology)
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概要
- 論文の詳細を見る
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.
- 社団法人電子情報通信学会の論文
- 2004-08-01
著者
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KARASAWA Yoshio
Department of Electronic Engineering, The University of Electro-Communications
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TANIGUCHI Tetsuki
Department of Electronic Engineering, The University of Electro-Communication
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Karasawa Yoshio
Department Of Electronic Engineering And Advanced Wireless Communication Research Center (awcc) The
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Taniguchi Tetsuki
Department Of Electronic Engineering The University Of Electro-communications
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Taniguchi Tetsuki
Department Of Electronic Engineering & Advanced Wireless Communication Research Center (awcc) Th
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PHAM Buy
Department of Electronic Engineering, The University of Electro-Communications
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Pham Buy
Department Of Electronic Engineering The University Of Electro-communications
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Karasawa Yoshio
Department Of Electronic Engineering & Advanced Wireless Communication Research Center (awcc) Th
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Taniguchi Tetsuki
Department Of Communication Engineering And Informatics And Advanced Wireless Communication Research
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KARASAWA Yoshio
Department of Communication Engineering and Informatics, The University of Electro-Communications
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