Antenna Selection Using Genetic Algorithm for MIMO Systems(<Special Section>Papers Selected from 2005 International Technical Conference on Circuits/Systems, Computers and Communications (ITC-CSCC 2005))
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概要
- 論文の詳細を見る
Recent work has shown that the usage of multiple antennas at the transmitter and receiver in a flat fading environment results in a linear increase in channel capacity. But increasing the number of antennas induces the higher hardware costs and computational burden. To overcome those problems, it is effective to select antennas appropriately among all available ones. In this paper, a new antenna selection method is proposed. The transmit antennas are selected so as to maximize the channel capacity using the genetic algorithm (GA) which is the one of the general random search algorithm. The results show that the proposed GA achieves almost the same performance as the optimal selection method with less computational amount.
- 一般社団法人電子情報通信学会の論文
- 2006-06-01
著者
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Park Dong
Department Of Acupuncture & Moxibustion College Of Oriental Medicine
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Park Dong
Department Of Electronics Engineering And The Research Institute Of Computer Information And Communi
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Kim Suk
Department Of Electronics Engineering And The Research Institute Of Computer Information And Communi
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GUO Qianjing
Department of Electronics Engineering and the Research Institute of Computer, Information, and Communication, Pusan National University
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Guo Qianjing
Department Of Electronics Engineering And The Research Institute Of Computer Information And Communication Pusan National University
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Kim Suk
Department of Ceramic Engineering, Yonsei University, 134 Shinchon-Dong, Seodaemun-Ku, Seoul 120-749, Korea
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