| Presentation | 2023-03-02 A Study on Deep Reinforcement Learning based Transmit Power Control for Uplink NOMA Kaito Sawada, Xiaoyan Wang, Zhou Hang, Masahiro Umehira, |
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| PDF Download Page |  PDF download Page Link |
| Abstract(in Japanese) | (See Japanese page) |
| Abstract(in English) | Non-Orthogonal Multiple Access (NOMA) technology has attracted much attention in order to improve frequency utilization efficiency. In this paper, with the purpose of maximizing the throughput in uplink NOMA with multiple user equipment(UE), we investigate a transmission power control method based on deep reinforcement learning technique, and evaluate its performance in environments with known and unknown channel information. |
| Keyword(in Japanese) | (See Japanese page) |
| Keyword(in English) | Non-Orthogonal Multiple Access / deep reinforcement learning / transmit power control |
| Paper # | SRW2022-48 |
| 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) | A Study on Deep Reinforcement Learning based Transmit Power Control for Uplink NOMA |
| Sub Title (in English) | |
| Keyword(1) | Non-Orthogonal Multiple Access |
| Keyword(2) | deep reinforcement learning |
| Keyword(3) | transmit power control |
| 1st Author's Name | Kaito Sawada |
| 1st Author's Affiliation | Ibaraki University(Ibaraki Univ.) |
| 2nd Author's Name | Xiaoyan Wang |
| 2nd Author's Affiliation | Ibaraki University(Ibaraki Univ.) |
| 3rd Author's Name | Zhou Hang |
| 3rd Author's Affiliation | Ibaraki University(Ibaraki Univ.) |
| 4th Author's Name | Masahiro Umehira |
| 4th Author's Affiliation | Nansan University(Nansan Univ.) |
| Date | 2023-03-02 |
| Paper # | SRW2022-48 |
| Volume (vol) | vol.122 |
| Number (no) | SRW-401 |
| Page | pp.pp.25-30(SRW), |
| #Pages | 6 |
| Date of Issue | 2023-02-22 (SRW) |