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Effects of Channel Features on Parameters of Genetic Algorithm for MIMO Detection
| Title: | Effects of Channel Features on Parameters of Genetic Algorithm for MIMO Detection |
| Authors: | Obaidullah, Kazi Browse this author | | Siriteanu, Constantin Browse this author | | Yoshizawa, Shingo Browse this author →KAKEN DB | | Miyanaga, Yoshikazu Browse this author →KAKEN DB |
| Keywords: | Azimuth spread | | condition number | | correlation | | fading | | genetic algorithm | | K-factor | | Maximum likelihood | | Meta GA | | MIMO | | WINNER II |
| Issue Date: | Oct-2013 |
| Publisher: | Institute of Electronics, Information and Communication Engineers |
| Journal Title: | IEICE Transactions on Fundamentals of Electronics Communications and Computer Sciences |
| Volume: | E96A |
| Issue: | 10 |
| Start Page: | 1984 |
| End Page: | 1992 |
| Publisher DOI: | 10.1587/transfun.E96.A.1984 |
| Abstract: | 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: | http://search.ieice.org/ |
| Type: | article |
| URI: | http://hdl.handle.net/2115/54800 |
| Appears in Collections: | 情報科学院・情報科学研究院 (Graduate School of Information Science and Technology / Faculty of Information Science and Technology) > 雑誌発表論文等 (Peer-reviewed Journal Articles, etc)
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Submitter: 宮永 喜一
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