| Presentation | 2021-03-05 Adaptive Channel Prediction over Multi-Cluster and Time-Varying Channels for Analog-Digital-Hybrid Massive MIMO Systems Kenta Tsuge, Yuyuan Chang, Kazuhiko Fukawa, Satoshi Suyama, Takahiro Asai, |
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| PDF Download Page |  PDF download Page Link |
| Abstract(in Japanese) | (See Japanese page) |
| Abstract(in English) | For 5G massive MIMO systems, hybrid beamforming (HB), which is composed of the analog beamforming (AB) and the digital beamforming (DB), has been investigated to reduce the number of baseband and RF circuits. This report proposes a scheme to adaptively predict downlink (DL) channels based on multi-cluster and time-varying channel models. For time division duplex (TDD) multiuser MIMO communications, the proposed scheme firstly applies both spatial smoothing processing and multiple signal classification (MUSIC) to an estimated channel impulse response of each stream, in order to estimate an average angle of arrival (AoA) for each cluster per stream. Next, the uplink (UL) channels are estimated in the following two ways: One is linear interpolation of weight coefficients multiplied by array response vectors corresponding to the estimated average and its neighboring AoAs, where these weight coefficients are estimated by using training signals. The other is QR decomposition-based recursive least squares (QR-RLS), which exploits detected data signals besides the training signals. The DL channels are predicted by linear extrapolation of estimated UL channels that are adaptively selected on the minimum mean square error (MMSE) criterion. Computer simulations demonstrate that the proposed scheme can achieve DL average bit error rate (BER) performances that are little inferior to those of full DB. |
| Keyword(in Japanese) | (See Japanese page) |
| Keyword(in English) | 5G / massive MIMO / hybrid beamforming / channel estimation / MUSIC |
| Paper # | RCS2020-252 |
| Date of Issue | 2021-02-24 (RCS) |
| Conference Information | |
| Committee | RCS / SR / SRW |
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| Conference Date | 2021/3/3(3days) |
| Place (in Japanese) | (See Japanese page) |
| Place (in English) | Online |
| Topics (in Japanese) | (See Japanese page) |
| Topics (in English) | Mobile Communication Workshop |
| Chair | Eiji Okamoto(Nagoya Inst. of Tech.) / Masayuki Ariyoshi(NEC) / Satoshi Denno(Okayama Univ.) |
| Vice Chair | Fumiaki Maehara(Waseda Univ.) / Toshihiko Nishimura(Hokkaido Univ.) / Tomoya Tandai(Toshiba) / Suguru Kameda(Tohoku Univ.) / Osamu Takyu(Shinshu Univ.) / Kentaro Ishidu(NICT) / Keiichi Mizutani(Kyoto Univ.) / Kentaro Saito(Tokyo Inst. of Tech.) / Hanako Noda(Anritsu) |
| Secretary | Fumiaki Maehara(Kyushu Univ.) / Toshihiko Nishimura(NEC) / Tomoya Tandai(ATR) / Suguru Kameda(Univ. of Electro-Comm.) / Osamu Takyu(Mie Univ.) / Kentaro Ishidu(NTT) / Keiichi Mizutani(NIigata Univ.) / Kentaro Saito / Hanako Noda |
| Assistant | Koichi Adachi(Univ. of Electro-Comm.) / Osamu Nakamura(Sharp) / Manabu Sakai(Mitsubishi Electric) / Masashi Iwabuchi(NTT) / Tatsuki Okuyama(NTT DOCOMO) / Mai Ohta(Fukuoka Univ.) / Teppei Oyama(Fujitsu Lab.) / Kentaro Kobayashi(Nagoya Univ.) / Masaaki Fuse(Anritsu) / Akihito Noda(Nanzan Univ.) |
| Paper Information | |
| Registration To | Technical Committee on Radio Communication Systems / Technical Committee on Smart Radio / Technical Committee on Short Range Wireless Communications |
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| Language | JPN |
| Title (in Japanese) | (See Japanese page) |
| Sub Title (in Japanese) | (See Japanese page) |
| Title (in English) | Adaptive Channel Prediction over Multi-Cluster and Time-Varying Channels for Analog-Digital-Hybrid Massive MIMO Systems |
| Sub Title (in English) | |
| Keyword(1) | 5G |
| Keyword(2) | massive MIMO |
| Keyword(3) | hybrid beamforming |
| Keyword(4) | channel estimation |
| Keyword(5) | MUSIC |
| 1st Author's Name | Kenta Tsuge |
| 1st Author's Affiliation | Tokyo Institute of Technology(Tokyo Tech) |
| 2nd Author's Name | Yuyuan Chang |
| 2nd Author's Affiliation | Tokyo Institute of Technology(Tokyo Tech) |
| 3rd Author's Name | Kazuhiko Fukawa |
| 3rd Author's Affiliation | Tokyo Institute of Technology(Tokyo Tech) |
| 4th Author's Name | Satoshi Suyama |
| 4th Author's Affiliation | NTT DOCOMO, INC.(NTT DOCOMO) |
| 5th Author's Name | Takahiro Asai |
| 5th Author's Affiliation | NTT DOCOMO, INC.(NTT DOCOMO) |
| Date | 2021-03-05 |
| Paper # | RCS2020-252 |
| Volume (vol) | vol.120 |
| Number (no) | RCS-404 |
| Page | pp.pp.222-227(RCS), |
| #Pages | 6 |
| Date of Issue | 2021-02-24 (RCS) |