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Channel Prediction Techniques for a Multi-User MIMO System in Time-Varying Environments

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タイトル: Channel Prediction Techniques for a Multi-User MIMO System in Time-Varying Environments
著者: Yamaguchi, Kanako 著作を一覧する
Huu Phu Bui 著作を一覧する
Ogawa, Yasutaka 著作を一覧する
Nishimura, Toshihiko 著作を一覧する
Ohgane, Takeo 著作を一覧する
キーワード: channel prediction
multi-user MIMO system
block diagonalization
eigenbeam-space division multiplexing
time-varying environments
AR model
lagrange extrapolation
発行日: 2014年12月
出版者: The Institute of Electronics, Information and Communication Engineers (IEICE)
誌名: IEICE transactions on communications
巻: E97B
号: 12
開始ページ: 2747
終了ページ: 2755
出版社 DOI: 10.1587/transcom.E97.B.2747
抄録: Although multi-user multiple-input multiple-output (MIMO) systems provide high data rate transmission, they may suffer from interference. Block diagonalization and eigenbeam-space division multi-plexing (E-SDM) can suppress interference. The transmitter needs to determine beamforming weights from channel state information (CSI) to use these techniques. However, MIMO channels change in time-varying environments during the time intervals between when transmission parameters are determined and actual MIMO transmission occurs. The outdated CSI causes interference and seriously degrades the quality of transmission. Channel prediction schemes have been developed to mitigate the effects of outdated CSI. We evaluated the accuracy of prediction of autoregressive (AR)-model-based prediction and Lagrange extrapolation in the presence of channel estimation error. We found that Lagrange extrapolation was easy to implement and that it provided performance comparable to that obtained with the AR-model-based technique.
Rights: copyright©2014 IEICE
資料タイプ: article
URI: http://hdl.handle.net/2115/59897
出現コレクション:雑誌発表論文等 (Peer-reviewed Journal Articles, etc)

提供者: 西村 寿彦

 

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