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Effects of Channel Features on Parameters of Genetic Algorithm for MIMO Detection

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タイトル: Effects of Channel Features on Parameters of Genetic Algorithm for MIMO Detection
著者: Obaidullah, Kazi 著作を一覧する
Siriteanu, Constantin 著作を一覧する
Yoshizawa, Shingo 著作を一覧する
Miyanaga, Yoshikazu 著作を一覧する
キーワード: Azimuth spread
condition number
genetic algorithm
Maximum likelihood
Meta GA
発行日: 2013年10月
出版者: Institute of Electronics, Information and Communication Engineers
誌名: IEICE Transactions on Fundamentals of Electronics Communications and Computer Sciences
巻: E96A
号: 10
開始ページ: 1984
終了ページ: 1992
出版社 DOI: 10.1587/transfun.E96.A.1984
抄録: Genetic algorithm (GA) is now an important tool in the field of wireless communications. For multiple-input/multiple-output (MIMO) wireless communications system employing spatial multiplexing transmission, we evaluate the effects of GA parameters value on channel parameters in fading channels. We assume transmit-correlated Rayleigh and Rician fading with realistic Laplacian power azimuth spectrum. Azimuth spread (AS) and Rician K-factor are selected according to the measurement-based WINNER II channel model for several scenarios. Herein we have shown the effects of GA parameters and channel parameters in different WINNER II scenarios (i.e., AS and K values) and rank of the deterministic components. We employ meta GA that suitably selects the population (P), generation (G) and mutation probability (p(m)) for the inner GA. Then we show the cumulative distribution function (CDF) obtain experimentally for the condition number C of the channel matrix H. It is found that, GA parameters depend on-the channel parameters, i.e., GA parameters are the functions of the channel parameters. It is also found that for the poorer channel conditions smaller GA parameter values are required for MIMO detection. This approach will help to achieve maximum performance in practical condition for the lower numerical complexity.
Rights: Copyright ©2013 The Institute of Electronics, Information and Communication Engineers
Relation (URI):
資料タイプ: article
出現コレクション:雑誌発表論文等 (Peer-reviewed Journal Articles, etc)

提供者: 宮永 喜一


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