| Presentation | 2023-03-02 Performance Evaluation of a Beamforming Control Method Using Deep Reinforcement Learning Daisuke Sasaki, Hang Zhou, Xiaoyan Wang, Masahiro Umehira, |
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| PDF Download Page |  PDF download Page Link |
| Abstract(in Japanese) | (See Japanese page) |
| Abstract(in English) | As the development of small cell configurations in B5G networks, the frequency utilization efficiency could be significantly improved. However, the inter-cell interference problem is of great importance. To solve this problem, analog beamforming methods which have low hardware cost and power consumption have been widely investigated. In this research, we propose a beamforming control method based on deep reinforcement learning to improve the overall network throughput, and evaluate its performance by computer simulations. |
| Keyword(in Japanese) | (See Japanese page) |
| Keyword(in English) | Deep reinforcement learning / analog beamforming / transmit power control |
| Paper # | SRW2022-47 |
| Date of Issue | 2023-02-22 (SRW) |
| Conference Information | |
| Committee | RCS / SR / SRW |
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| Conference Date | 2023/3/1(3days) |
| Place (in Japanese) | (See Japanese page) |
| Place (in English) | Tokyo Institute of Technology, and Online |
| Topics (in Japanese) | (See Japanese page) |
| Topics (in English) | Mobile Communication Workshop |
| Chair | Kenichi Higuchi(Tokyo Univ. of Science) / Suguru Kameda(Hiroshima Univ.) / Hanako Noda(Anritsu) |
| Vice Chair | Tomoya Tandai(Toshiba) / Fumihide Kojima(NICT) / Osamu Muta(Kyushu Univ.) / Osamu Takyu(Shinshu Univ.) / Kentaro Ishidu(NICT) / Kazuto Yano(ATR) / Keiichi Mizutani(Kyoto Univ.) / Kentaro Saito(Tokyo Denki Univ.) / Hirokazu Sawada(NICT) |
| Secretary | Tomoya Tandai(Panasonic) / Fumihide Kojima(Univ. of Electro-Comm) / Osamu Muta(Sharp) / Osamu Takyu(Mie Univ.) / Kentaro Ishidu(Tokai Univ.) / Kazuto Yano(NTT) / Keiichi Mizutani(KUT) / Kentaro Saito(NIigata Univ.) / Hirokazu Sawada |
| Assistant | Manabu Sakai(Mitsubishi Electric) / Masashi Iwabuchi(NTT) / Issei Kanno(KDDI Research) / Yuyuan Chang(Tokyo Inst. of Tech) / Kazuki Maruta(Tokyo Univ. of Science) / Mai Ohta(NEC) / WANG Xiaoyan(Ibaraki Univ.) / Akemi Tanaka(MathWorks) / Katsuya Suto(Univ. of Electro-Comm) / Maki Arai(Nihon Univ.) / Yuichi Masuda(Univ. of Tokyo) |
| 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) | Performance Evaluation of a Beamforming Control Method Using Deep Reinforcement Learning |
| Sub Title (in English) | |
| Keyword(1) | Deep reinforcement learning |
| Keyword(2) | analog beamforming |
| Keyword(3) | transmit power control |
| 1st Author's Name | Daisuke Sasaki |
| 1st Author's Affiliation | Ibaraki University(Ibaraki Univ) |
| 2nd Author's Name | Hang Zhou |
| 2nd Author's Affiliation | Ibaraki University(Ibaraki Univ) |
| 3rd Author's Name | Xiaoyan Wang |
| 3rd Author's Affiliation | Ibaraki University(Ibaraki Univ.) |
| 4th Author's Name | Masahiro Umehira |
| 4th Author's Affiliation | Nanzan University(Nanzan Univ.) |
| Date | 2023-03-02 |
| Paper # | SRW2022-47 |
| Volume (vol) | vol.122 |
| Number (no) | SRW-401 |
| Page | pp.pp.19-24(SRW), |
| #Pages | 6 |
| Date of Issue | 2023-02-22 (SRW) |