Presentation 2018-03-02
Beam Space Channel Estimation Using Multiple DFT Matrices for Massive MIMO Systems
Jun Shikida, Kazushi Muraoka, Naoto Ishii,
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Abstract(in Japanese) (See Japanese page)
Abstract(in English) Massive MIMO is a promising technology for the 5th generation (5G) mobile communication systems. When uplink (UL) channel estimation results are used for downlink (DL) massive MIMO transmission, UL channel estimation errors degrade the performance of DL massive MIMO transmission. To reduce the channel estimation errors, a channel estimation method using the channel sparsity in beam space has been studied. This method (hereinafter referred to as “beam space channel estimation (BSCE)”) can reduce the estimation errors by setting the channel estimates of non-dominant beams to zeros. In conventional BSCE, a DFT matrix is used for antenna-to-beam space transformation of channel estimates. In this report, we propose a BSCE using multiple DFT matrices which form beams in mutually different directions to increase beams and to improve the channel estimation accuracy. We also propose a non-zero beam selection method to prevent the directions of non-zero beams from being limited to a specific angular range. Simulation results show that the proposed method using 4 DFT matrices improves cell throughput performance by 53% compared with not using BSCE and by 24% compared with conventional BSCE when the SNR of UL reference signal is 0 dB.
Keyword(in Japanese) (See Japanese page)
Keyword(in English) 5G / Massive MIMO / Multi-user MIMO / Channel Estimation
Paper # RCS2017-392
Date of Issue 2018-02-21 (RCS)

Conference Information
Committee RCS / SR / SRW
Conference Date 2018/2/28(3days)
Place (in Japanese) (See Japanese page)
Place (in English) YRP
Topics (in Japanese) (See Japanese page)
Topics (in English) Mobile Communication Workshop
Chair Hidekazu Murata(Kyoto Univ.) / Kenta Umebayashi(Tokyo Univ. of Agric. and Tech.) / Tadao Nakagawa(Tottori Univ.)
Vice Chair Yukitoshi Sanada(Keio Univ.) / Eisuke Fukuda(Fujitsu Labs.) / Satoshi Suyama(NTT DoCoMo) / Masayuki Ariyoshi(NEC) / Suguru Kameda(Tohoku Univ.) / Satoshi Denno(Okayama Univ.) / Makoto Hamaminato(Fujitsu labs.)
Secretary Yukitoshi Sanada(Toshiba) / Eisuke Fukuda(Hokkaido Univ.) / Satoshi Suyama(NICT) / Masayuki Ariyoshi(ATR) / Suguru Kameda(NICT) / Satoshi Denno(Kyoto Univ.) / Makoto Hamaminato
Assistant Tetsuya Yamamoto(Panasonic) / Koichi Ishihara(NTT) / Kazushi Muraoka(NEC) / Shinsuke Ibi(Osaka Univ.) / Hiroshi Nishimoto(Mitsubishi Electric) / Mamiko Inamori(Tokai Univ.) / Hiroyuki Shiba(NTT) / Gia Khanh Tran(Tokyo Inst. of Tech.) / Syusuke Narieda(NIT, Akashi College) / Kentaro Saito(Tokyo Inst. of Tech.) / Hiromasa Yamauchi(Fujitsu labs.)

Paper Information
Registration To Technical Committee on Radio Communication Systems / 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) Beam Space Channel Estimation Using Multiple DFT Matrices for Massive MIMO Systems
Sub Title (in English)
Keyword(1) 5G
Keyword(2) Massive MIMO
Keyword(3) Multi-user MIMO
Keyword(4) Channel Estimation
1st Author's Name Jun Shikida
1st Author's Affiliation NEC Corporation(NEC)
2nd Author's Name Kazushi Muraoka
2nd Author's Affiliation NEC Corporation(NEC)
3rd Author's Name Naoto Ishii
3rd Author's Affiliation NEC Corporation(NEC)
Date 2018-03-02
Paper # RCS2017-392
Volume (vol) vol.117
Number (no) RCS-456
Page pp.pp.405-410(RCS),
#Pages 6
Date of Issue 2018-02-21 (RCS)