| Paper Abstract and Keywords |
| Presentation |
2023-03-02 10:15
Dynamic Antenna Control in Multi-Cell HAPS System by using Deep Reinforcement Learning Evolution Algorithm Siyuan Yang, Mondher Bouazizi, Tomoaki Ohtsuki (Keio Univ.) RCS2022-272 |
| Abstract |
(in Japanese) |
(See Japanese page) |
| (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) |
| (in English) |
antenna control / DRL / HAPS / / / / / |
| Reference Info. |
IEICE Tech. Rep., vol. 122, no. 399, RCS2022-272, pp. 143-148, March 2023. |
| Paper # |
RCS2022-272 |
| Date of Issue |
2023-02-22 (RCS) |
| ISSN |
Online edition: ISSN 2432-6380 |
Copyright and reproduction |
All rights are reserved and no part of this publication may be reproduced or transmitted in any form or by any means, electronic or mechanical, including photocopy, recording, or any information storage and retrieval system, without permission in writing from the publisher. Notwithstanding, instructors are permitted to photocopy isolated articles for noncommercial classroom use without fee. (License No.: 10GA0019/12GB0052/13GB0056/17GB0034/18GB0034) |
| Download PDF |
RCS2022-272 |
| Conference Information |
| Committee |
RCS SR SRW |
| Conference Date |
2023-03-01 - 2023-03-03 |
| 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 |
| Paper Information |
| Registration To |
RCS |
| Conference Code |
2023-03-RCS-SR-SRW |
| Language |
English |
| 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) |
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| Keyword(1) |
antenna control |
| Keyword(2) |
DRL |
| Keyword(3) |
HAPS |
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| 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.) |
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| Speaker |
Author-1 |
| Date Time |
2023-03-02 10:15:00 |
| Presentation Time |
25 minutes |
| Registration for |
RCS |
| Paper # |
RCS2022-272 |
| Volume (vol) |
vol.122 |
| Number (no) |
no.399 |
| Page |
pp.143-148 |
| #Pages |
6 |
| Date of Issue |
2023-02-22 (RCS) |