Presentation | 2023-03-02 Dynamic Antenna Control in Multi-Cell HAPS System by using Deep Reinforcement Learning Evolution Algorithm Siyuan Yang, Mondher Bouazizi, Tomoaki Ohtsuki, |
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PDF Download Page | PDF download Page Link |
Abstract(in Japanese) | (See Japanese page) |
Abstract(in English) | To reduce the number of low-throughput users caused by the HAPS movement, we propose a novel Deep Reinforcement Learning Evolution Algorithm (DRLEA). The proposed method can dynamically adjust the antenna parameters based on the throughput of the users in the coverage area to reduce the number of low-throughput users by improving the users' throughput. Besides, compared with the traditional Deep Q Network (DQN), the proposed method combined the Evolution Algorithm (EA) with Deep Reinforcement Learning (DRL) to avoid the sub-optimal solutions in each state. We do the simulations under 4 different real user distribution scenarios and compare the proposed method with the conventional EA and RL methods. The simulation results show that the proposed method effectively reduces the number of low throughput users after the HAPS moves. |
Keyword(in Japanese) | (See Japanese page) |
Keyword(in English) | antenna controlDRLHAPS |
Paper # | RCS2022-272 |
Date of Issue | 2023-02-22 (RCS) |
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 | ENG |
Title (in Japanese) | (See Japanese page) |
Sub Title (in Japanese) | (See Japanese page) |
Title (in English) | Dynamic Antenna Control in Multi-Cell HAPS System by using Deep Reinforcement Learning Evolution Algorithm |
Sub Title (in English) | |
Keyword(1) | antenna controlDRLHAPS |
1st Author's Name | Siyuan Yang |
1st Author's Affiliation | Keio University(Keio Univ.) |
2nd Author's Name | Mondher Bouazizi |
2nd Author's Affiliation | Keio University(Keio Univ.) |
3rd Author's Name | Tomoaki Ohtsuki |
3rd Author's Affiliation | Keio University(Keio Univ.) |
Date | 2023-03-02 |
Paper # | RCS2022-272 |
Volume (vol) | vol.122 |
Number (no) | RCS-399 |
Page | pp.pp.143-148(RCS), |
#Pages | 6 |
Date of Issue | 2023-02-22 (RCS) |