Presentation | 2018-06-21 Evaluation of Loose Beamforming with a Genetic Algorithm in a Multiuser Massive MIMO System Shunta Nakamura, Toshihiko Nishimura, Takeo Ohgane, Yasutaka Ogawa, Junichiro Hagiwara, |
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PDF Download Page | PDF download Page Link |
Abstract(in Japanese) | (See Japanese page) |
Abstract(in English) | In the 5th generation mobile communication system, implementation of a large-scale multiple-inputmultiple-output system using more than 100 base station antenna elements has been studied to realize high speedand large capacity. On the other hand, with the increase in the number of antenna elements used for transmission, the computational load for precoding becomes a serious problem. Therefore, loose beamforming to select only someuseful antenna elements has been studied. In this paper, we obtained combinations of antennas by applying agenetic algorithm to antenna element selection for the loose beamforming as quasi-optimal solutions and evaluatedsum channel capacity characteristics in an indoor environment. As a result, it has been shown that it is necessary toselect appropriate antenna elements that suppress interference and enhances the desired signal. Moreover, by usingthe phase rotation of channels, it has been also shown confirmed that the channel capacity is further improved. |
Keyword(in Japanese) | (See Japanese page) |
Keyword(in English) | 5G / Massive MIMO / Ray-tracing / Indoor environment / Channel capacity / Antenna Selection / Genetic Algorithm |
Paper # | RCS2018-52 |
Date of Issue | 2018-06-13 (RCS) |
Conference Information | |
Committee | RCS |
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Conference Date | 2018/6/20(3days) |
Place (in Japanese) | (See Japanese page) |
Place (in English) | Nagasaki University |
Topics (in Japanese) | (See Japanese page) |
Topics (in English) | First Presentation in IEICE Technical Committee, Railroad Communications, Inter-Vehicle Communications, Road to Vehicle Communications, Resource Control, Scheduling, Wireless Communication Systems, etc. |
Chair | Tomoaki Otsuki(Keio Univ.) |
Vice Chair | Eisuke Fukuda(Fujitsu Labs.) / Satoshi Suyama(NTT DoCoMo) / Fumiaki Maehara(Waseda Univ.) |
Secretary | Eisuke Fukuda(Hokkaido Univ.) / Satoshi Suyama(NTT) / Fumiaki Maehara |
Assistant | Kazushi Muraoka(NTT DOCOMO) / Shinsuke Ibi(Osaka Univ.) / Hiroshi Nishimoto(Mitsubishi Electric) / Koichi Adachi(Univ. of Electro-Comm.) / Osamu Nakamura(Sharp) |
Paper Information | |
Registration To | Technical Committee on Radio Communication Systems |
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Language | JPN |
Title (in Japanese) | (See Japanese page) |
Sub Title (in Japanese) | (See Japanese page) |
Title (in English) | Evaluation of Loose Beamforming with a Genetic Algorithm in a Multiuser Massive MIMO System |
Sub Title (in English) | |
Keyword(1) | 5G |
Keyword(2) | Massive MIMO |
Keyword(3) | Ray-tracing |
Keyword(4) | Indoor environment |
Keyword(5) | Channel capacity |
Keyword(6) | Antenna Selection |
Keyword(7) | Genetic Algorithm |
1st Author's Name | Shunta Nakamura |
1st Author's Affiliation | Hokkaido University(Hokkaido Univ.) |
2nd Author's Name | Toshihiko Nishimura |
2nd Author's Affiliation | Hokkaido University(Hokkaido Univ.) |
3rd Author's Name | Takeo Ohgane |
3rd Author's Affiliation | Hokkaido University(Hokkaido Univ.) |
4th Author's Name | Yasutaka Ogawa |
4th Author's Affiliation | Hokkaido University(Hokkaido Univ.) |
5th Author's Name | Junichiro Hagiwara |
5th Author's Affiliation | Hokkaido University(Hokkaido Univ.) |
Date | 2018-06-21 |
Paper # | RCS2018-52 |
Volume (vol) | vol.118 |
Number (no) | RCS-101 |
Page | pp.pp.101-106(RCS), |
#Pages | 6 |
Date of Issue | 2018-06-13 (RCS) |