Presentation 2016-03-04
Interference Alignment for Time-Varying Channel with Low Complexity Channel Prediction based on Auto Regressive Model
Masayoshi Ozawa, Tomoaki Ohtsuki, Wenjie Jiang, Yasushi Takatori, Tadao Nakagawa,
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Abstract(in Japanese) (See Japanese page)
Abstract(in English) Interference alignment (IA) is a interference suppression technique with a few number of antennas by aligning interference signals using transmit weights. Although weights are calculated based on channel state information (CSI) fed back from each receiver, weights based on delayed channels can not align them due to time-varying channel. Therefore, IA with a channel prediction is gathering attention. Auto regressive (AR) model is a prediction method that predicts the future state based on past states. However, the calculation amount is large. In this report, we propose a low complexity and high accuracy channel prediction based on AR model and apply it to IA. We use differences of channels between adjacent time to predict future channel. Past channels are used directly in conventional IA with channel prediction. However, the prediction error becomes small when the future channel is predicted with differences of channels between adjacent time. Through computer simulation, IA with the proposed channel prediction is shown to improve the channel prediction accuracy, reduce the calculation amount, and improve the transmission rate.
Keyword(in Japanese) (See Japanese page)
Keyword(in English) Interference alignment / Channel prediction / Auto regressive model
Paper # RCS2015-381
Date of Issue 2016-02-24 (RCS)

Conference Information
Committee RCS / CCS / SR / SRW
Conference Date 2016/3/2(3days)
Place (in Japanese) (See Japanese page)
Place (in English) Tokyo Institute of Technology
Topics (in Japanese) (See Japanese page)
Topics (in English) Mobile Communication Workshop
Chair Makoto Taromaru(Fukuoka Univ.) / Hiroo Sekiya(Chiba Univ.) / Takeo Fujii(Univ. of Electro-Comm.) / Hiroshi Harada(Kyoto Univ.)
Vice Chair Hidekazu Murata(Kyoto Univ.) / Satoshi Denno(Okayama Univ.) / Yukitoshi Sanada(Keio Univ.) / Yasuhiro Tsubo(Ritsumeikan Univ.) / Naoki Wakamiya(Osaka Univ.) / Kenta Umebayashi(Tokyo Univ. of Agric. and Tech.) / Masayuki Ariyoshi(NEC) / Masafumi Kato(Fujitsu) / Satoshi Denno(Okayama Univ.)
Secretary Hidekazu Murata(Mitsubishi Electric) / Satoshi Denno(NTT DoCoMo) / Yukitoshi Sanada(Kagawa National College of Tech.) / Yasuhiro Tsubo(Kyoto Sangyo Univ.) / Naoki Wakamiya(Shinshu Univ.) / Kenta Umebayashi(NICT) / Masayuki Ariyoshi(NTT) / Masafumi Kato(NICT) / Satoshi Denno
Assistant Jun Mashino(NTT) / Tetsuya Yamamoto(Panasonic) / Takamichi Inoue(NEC) / Tomoya Tandai(Toshiba) / Toshihiko Nishimura(Hokkaido Univ.) / Takayuki Kimura(Nippon Inst. of Tech.) / Song-Ju Kim(NIMS) / Ryo Takahashi(Kyoto Univ.) / Junnosuke Teramae(Osaka Univ.) / Kazuto Yano(ATR) / Mamiko Inamori(Tokai Univ.) / Hiroyuki Shiba(NTT) / Gia Khanh Tran(Tokyo Inst. of Tech.) / Wen Yun(Fujitsu) / Keiichi Mizutani(Kyoto Univ.)

Paper Information
Registration To Technical Committee on Radio Communication Systems / Technical Committee on Complex Communication Sciences / Technical Committee on Smart Radio / Technical Committee on Short Range Wireless Communications
Language JPN
Title (in Japanese) (See Japanese page)
Sub Title (in Japanese) (See Japanese page)
Title (in English) Interference Alignment for Time-Varying Channel with Low Complexity Channel Prediction based on Auto Regressive Model
Sub Title (in English)
Keyword(1) Interference alignment
Keyword(2) Channel prediction
Keyword(3) Auto regressive model
1st Author's Name Masayoshi Ozawa
1st Author's Affiliation Keio Univercity(Keio Univ.)
2nd Author's Name Tomoaki Ohtsuki
2nd Author's Affiliation Keio Univercity(Keio Univ.)
3rd Author's Name Wenjie Jiang
3rd Author's Affiliation Nippon Telegraph and Telephone Corporation(NTT)
4th Author's Name Yasushi Takatori
4th Author's Affiliation Nippon Telegraph and Telephone Corporation(NTT)
5th Author's Name Tadao Nakagawa
5th Author's Affiliation Nippon Telegraph and Telephone Corporation(NTT)
Date 2016-03-04
Paper # RCS2015-381
Volume (vol) vol.115
Number (no) RCS-472
Page pp.pp.279-284(RCS),
#Pages 6
Date of Issue 2016-02-24 (RCS)