Presentation | 2018-03-01 Transmit Power and Beamforming Control Using Neural Networks for MIMO Small Cell Networks with Interference Cancellation Koi Tou, Yuyuan Chang, Kazuhiko Fukawa, |
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PDF Download Page | PDF download Page Link |
Abstract(in Japanese) | (See Japanese page) |
Abstract(in English) | Dense deployment of small cell base stations (BSs) causes the coverage areas of neighboring cells to overlap, which increases inter-cell interference and degrades the system capacity. This report proposes a new inter-cell interference coordination (ICIC) scheme to improve the system capacity in multiple-input multiple-output (MIMO) small cell networks. The proposed ICIC scheme consists of both an interference cancellation (IC) technique on the receiver side, and a power/beamforming control on the transmitter side. The receiver removes interfering signals with high received power by IC, whereas the transmitter searches for a combination that maximizes the system capacity from a predetermined set of precoding matrices and transmit power levels. However, the greedy search has a problem that it requires a large amount of computational complexity. In order to reduce such an amount of complexity, the neural network (NN) is applied, which can greatly reduce the complexity after initial estimation of the weights converges. The NN training consists of two steps. In the first step, unsupervised pre-training has been proposed to reduce the training time. The unsupervised pre-training sets initial values to the NN weights by extracting feature quantities only from the NN inputs. In the second step, supervised training adjusts the NN weights using the inputs and the corresponding ideal outputs, and minimizes the difference between the ideal output and the NN output by the backpropagation algorithm. Computer simulations demonstrate that the proposed NN scheme can obtain the nearly optimum system capacity. |
Keyword(in Japanese) | (See Japanese page) |
Keyword(in English) | MIMO / small cells / inter-cell interference coordination / interference canceller / neural network / system capacity / transmit power control / beamforming |
Paper # | RCS2017-347 |
Date of Issue | 2018-02-21 (RCS) |
Conference Information | |
Committee | RCS / SR / SRW |
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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 |
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Language | JPN |
Title (in Japanese) | (See Japanese page) |
Sub Title (in Japanese) | (See Japanese page) |
Title (in English) | Transmit Power and Beamforming Control Using Neural Networks for MIMO Small Cell Networks with Interference Cancellation |
Sub Title (in English) | |
Keyword(1) | MIMO |
Keyword(2) | small cells |
Keyword(3) | inter-cell interference coordination |
Keyword(4) | interference canceller |
Keyword(5) | neural network |
Keyword(6) | system capacity |
Keyword(7) | transmit power control |
Keyword(8) | beamforming |
1st Author's Name | Koi Tou |
1st Author's Affiliation | Tokyo Institute of Technology(TokyoTech) |
2nd Author's Name | Yuyuan Chang |
2nd Author's Affiliation | Tokyo Institute of Technology(TokyoTech) |
3rd Author's Name | Kazuhiko Fukawa |
3rd Author's Affiliation | Tokyo Institute of Technology(TokyoTech) |
Date | 2018-03-01 |
Paper # | RCS2017-347 |
Volume (vol) | vol.117 |
Number (no) | RCS-456 |
Page | pp.pp.173-178(RCS), |
#Pages | 6 |
Date of Issue | 2018-02-21 (RCS) |