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

Obaidullah, Kazi; Siriteanu, Constantin; Yoshizawa, Shingo; Miyanaga, Yoshikazu

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

Obaidullah, Kazi; Siriteanu, Constantin; Yoshizawa, Shingo et al.

IEICE Transactions on Fundamentals of Electronics Communications and Computer Sciences, 2013, E96A(10), 1984-1992

Permalink : https://hdl.handle.net/2115/54800

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アクセス権	open access
URI	https://hdl.handle.net/2115/54800
タイトル	Effects of Channel Features on Parameters of Genetic Algorithm for MIMO Detection
著者	Obaidullah, Kazi ; Siriteanu, Constantin ; Yoshizawa, Shingo ; Miyanaga, Yoshikazu
著者名 Obaidullah, Kazi
著者名 Siriteanu, Constantin
e-Rad_Researcher 20447080 著者名 Yoshizawa, Shingo
e-Rad_Researcher 20166185 著者名 Miyanaga, Yoshikazu
言語	英語
キーワード	Azimuth spread
	condition number
	correlation
	fading
	genetic algorithm
	K-factor
	Maximum likelihood
	Meta GA
	MIMO
	WINNER II
発行日	2013-10
出版者	Institute of Electronics, Information and Communication Engineers
収録物名	IEICE Transactions on Fundamentals of Electronics Communications and Computer Sciences
巻(号)	E96A(10)
ページ	1984-1992
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.
資源タイプ	学術雑誌論文
出版タイプ	Version of Record
権利情報	Copyright ©2013 The Institute of Electronics, Information and Communication Engineers
PISSN	0916-8508
関連情報	URI http://search.ieice.org/
関連情報 (isIdenticalTo)	出版社版DOI https://doi.org/10.1587/transfun.E96.A.1984