| Presentation | 2020-07-08 Deep Unfolded Multicast Beamforming for Massive MIMO Satoshi Takabe, Tadashi Wadayama, |
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| PDF Download Page |  PDF download Page Link |
| Abstract(in Japanese) | (See Japanese page) |
| Abstract(in English) | Multicast beamforming is a promising technique for multicast communications to design a beamforming vector based on channel state information. Since beamforming is based on solving an NP-hard optimization problem, proposing an efficient and powerful beamform design is a crucial issue. In this paper, we propose a novel trainable beamforming design algorithm by combining projections onto convex sets with deep unfolding that is an emerging deep learning technique. Although only unsupervised learning is applicable to the proposed algorithm due to the lack of optimal solutions, numerical results suggest that the algorithm shows convergence acceleration and performance improvement compared with existing algorithms. |
| Keyword(in Japanese) | (See Japanese page) |
| Keyword(in English) | multicast beamforming / deep unfolding / deep learning / projections onto convex sets |
| Paper # | RCS2020-64 |
| Date of Issue | 2020-07-01 (RCS) |
| Conference Information | |
| Committee | SR / NS / SeMI / RCC / RCS |
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| Conference Date | 2020/7/8(3days) |
| Place (in Japanese) | (See Japanese page) |
| Place (in English) | Online |
| Topics (in Japanese) | (See Japanese page) |
| Topics (in English) | Communication and Network Technology of the AI Age, M2M (Machine-to-Machine)，D2D (Device-to-Device)，IoT（Internet of Things）, etc |
| Chair | Masayuki Ariyoshi(NEC) / Akihiro Nakao(Univ. of Tokyo) / Susumu Ishihara(Shizuoka Univ.) / HUAN-BANG LI(NICT) / Eiji Okamoto(Nagoya Inst. of Tech.) |
| Vice Chair | Suguru Kameda(Tohoku Univ.) / Osamu Takyu(Shinshu Univ.) / Kentaro Ishidu(NICT) / Tetsuya Oishi(NTT) / Kazuya Monden(Hitachi) / Koji Yamamoto(Kyoto Univ.) / Shunichi Azuma(Nagoya Univ.) / Koji Ishii(Kagawa Univ.) / Fumiaki Maehara(Waseda Univ.) / Toshihiko Nishimura(Hokkaido Univ.) / Tomoya Tandai(Toshiba) |
| Secretary | Suguru Kameda(ATR) / Osamu Takyu(Univ. of Electro-Comm.) / Kentaro Ishidu(Mie Univ.) / Tetsuya Oishi(NTT) / Kazuya Monden(Chuo Univ.) / Koji Yamamoto(Kyoto Univ.) / Shunichi Azuma(Osaka Univ.) / Koji Ishii(Hitachi) / Fumiaki Maehara(Waseda Univ.) / Toshihiko Nishimura(CRIEPI) / Tomoya Tandai(Osaka Univ.) |
| Assistant | Mai Ohta(Fukuoka Univ.) / Teppei Oyama(Fujitsu Lab.) / Kentaro Kobayashi(Nagoya Univ.) / Shinya Kawano(NTT) / Yuki Katsumata(NTT DOCOMO) / Yu Nakayama(Tokyo Univ. of Agri. and Tech.) / Akira Uchiyama(Osaka Univ.) / SHAN LIN(NICT) / Masaki Ogura(Osaka Univ.) / Koichi Adachi(Univ. of Electro-Comm.) / Osamu Nakamura(Sharp) / Manabu Sakai(Mitsubishi Electric) / Masashi Iwabuchi(NTT) / Tatsuki Okuyama(NTT DOCOMO) |
| Paper Information | |
| Registration To | Technical Committee on Smart Radio / Technical Committee on Network Systems / Technical Committee on Sensor Network and Mobile Intelligence / Technical Committee on Reliable Communication and Control / 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) | Deep Unfolded Multicast Beamforming for Massive MIMO |
| Sub Title (in English) | |
| Keyword(1) | multicast beamforming |
| Keyword(2) | deep unfolding |
| Keyword(3) | deep learning |
| Keyword(4) | projections onto convex sets |
| 1st Author's Name | Satoshi Takabe |
| 1st Author's Affiliation | Nagoya Institute of Technology(NITech) |
| 2nd Author's Name | Tadashi Wadayama |
| 2nd Author's Affiliation | Nagoya Institute of Technology(NITech) |
| Date | 2020-07-08 |
| Paper # | RCS2020-64 |
| Volume (vol) | vol.120 |
| Number (no) | RCS-89 |
| Page | pp.pp.37-42(RCS), |
| #Pages | 6 |
| Date of Issue | 2020-07-01 (RCS) |