Presentation 2017-11-08
[Invited Lecture] Channel Prediction in LOS Environment by AR Model Using Estimation of LOS Propagation Parameters
Naoto Setoguchi, Hiroaki Nakabayashi, Keizo Cho,
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Abstract(in Japanese) (See Japanese page)
Abstract(in English) In MIMO technology, feedback delay of channel state information is regarded as a cause of deterioration of transmission performance, and channel prediction using AR model is attracting attention as a technology for improving degradation of channel state information. In this report, we investigate parameter estimation for channel prediction equation from Doppler spectrum using Fast Fourier Transform (FFT), and investigate the channel prediction accuracy using the autocorrelation theory formula, in non-line-of-sight (NLOS) environment and line-of-sight (LOS) environment using the parameters estimated in LOS environment. As a result, it is shown that the prediction using autocorrelation theory formula in LOS environment reduces the mean square error about 10 dB for the prediction using the formula in NLOS environment. Also, the influence of the prediction error is shown when performing the MIMO eigenmode transmission based on the predicted channel on the channel capacity. As a result, it is shown that the using the formula in LOS environment can reduce deterioration of the channel capacity about 0.5-2 bit/s/Hz for using the formula in NLOS environment.
Keyword(in Japanese) (See Japanese page)
Keyword(in English) autoregressive model / channel prediction / MIMO / line-of-sight
Paper # AP2017-117,RCS2017-214
Date of Issue 2017-11-01 (AP, RCS)

Conference Information
Committee AP / RCS
Conference Date 2017/11/8(3days)
Place (in Japanese) (See Japanese page)
Place (in English) Fukuoka University
Topics (in Japanese) (See Japanese page)
Topics (in English) Adaptive Antenna, Equalization, Interference Canceler, MIMO, Wireless Communications, etc.
Chair Jiro Hirokawa(Tokyo Tech.) / Hidekazu Murata(Kyoto Univ.)
Vice Chair Ryo Yamaguchi(SoftBank) / Yukitoshi Sanada(Keio Univ.) / Eisuke Fukuda(Fujitsu Labs.) / Satoshi Suyama(NTT DoCoMo)
Secretary Ryo Yamaguchi(NTT DoCoMo) / Yukitoshi Sanada(Saitama Univ.) / Eisuke Fukuda(Toshiba) / Satoshi Suyama(Hokkaido Univ.)
Assistant Nobuyasu Takemura(Nippon Inst. of Tech.) / Satoshi Yamaguchi(Mitsubishi Electric) / Tetsuya Yamamoto(Panasonic) / Koichi Ishihara(NTT) / Kazushi Muraoka(NEC) / Shinsuke Ibi(Osaka Univ.) / Hiroshi Nishimoto(Mitsubishi Electric)

Paper Information
Registration To Technical Committee on Antennas and Propagation / Technical Committee on Radio Communication Systems
Language JPN
Title (in Japanese) (See Japanese page)
Sub Title (in Japanese) (See Japanese page)
Title (in English) [Invited Lecture] Channel Prediction in LOS Environment by AR Model Using Estimation of LOS Propagation Parameters
Sub Title (in English)
Keyword(1) autoregressive model
Keyword(2) channel prediction
Keyword(3) MIMO
Keyword(4) line-of-sight
1st Author's Name Naoto Setoguchi
1st Author's Affiliation Chiba Institute of Technology(Chiba Inst.Tech.)
2nd Author's Name Hiroaki Nakabayashi
2nd Author's Affiliation Chiba Institute of Technology(Chiba Inst.Tech.)
3rd Author's Name Keizo Cho
3rd Author's Affiliation Chiba Institute of Technology(Chiba Inst.Tech.)
Date 2017-11-08
Paper # AP2017-117,RCS2017-214
Volume (vol) vol.117
Number (no) AP-283,RCS-284
Page pp.pp.49-54(AP), pp.53-58(RCS),
#Pages 6
Date of Issue 2017-11-01 (AP, RCS)