| Presentation | 2024-01-25 [Short Paper] A Performance Evaluation 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 , we investigate a transmission power control method based on deep reinforcement learning technique in a scenario with multiple user equipment and a signal base station. We evaluate the performance by comparing with ideal results and random power control methods in wireless environments with both known and unknown channel information. |
| Keyword(in Japanese) | (See Japanese page) |
| Keyword(in English) | Non-Orthogonal Multiple Access / uplink / deep reinforcement learning / transmit power control |
| Paper # | SR2023-73 |
| Date of Issue | 2024-01-18 (SR) |
| Conference Information | |
| Committee | SR |
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| Conference Date | 2024/1/25(2days) |
| Place (in Japanese) | (See Japanese page) |
| Place (in English) | Nagano-ken JA building |
| Topics (in Japanese) | (See Japanese page) |
| Topics (in English) | Cognitive Radio, Dynamic Spectrum Sharing, Heterogeneous Network, SDN, AI/ML application |
| Chair | Osamu Takyu(Shinshu Univ.) |
| Vice Chair | Kentaro Ishidu(NICT) / Kazuto Yano(ATR) / Shusuke Narieda(Mie Univ.) |
| Secretary | Kentaro Ishidu(Tokai Univ.) / Kazuto Yano(NTT) / Shusuke Narieda(Tokyo Inst. of Tech) |
| Assistant | Taichi Ohtsuji(NEC) / WANG Xiaoyan(Ibaraki Univ.) / Akemi Tanaka(MathWorks) / Katsuya Suto(Univ. of Electro-Comm) |
| Paper Information | |
| Registration To | Technical Committee on Smart Radio |
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| Language | JPN |
| Title (in Japanese) | (See Japanese page) |
| Sub Title (in Japanese) | (See Japanese page) |
| Title (in English) | [Short Paper] A Performance Evaluation on Deep Reinforcement Learning based Transmit Power Control for Uplink NOMA |
| Sub Title (in English) | |
| Keyword(1) | Non-Orthogonal Multiple Access |
| Keyword(2) | uplink |
| Keyword(3) | deep reinforcement learning |
| Keyword(4) | 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 | Nanzan University(Nanzan Univ.) |
| Date | 2024-01-25 |
| Paper # | SR2023-73 |
| Volume (vol) | vol.123 |
| Number (no) | SR-369 |
| Page | pp.pp.25-27(SR), |
| #Pages | 3 |
| Date of Issue | 2024-01-18 (SR) |