Paper Abstract and Keywords |
Presentation |
2023-03-02 09:25
A Study on Deep Reinforcement Learning based Transmit Power Control for Uplink NOMA Kaito Sawada, Xiaoyan Wang, Zhou Hang (Ibaraki Univ.), Masahiro Umehira (Nansan Univ.) SRW2022-48 |
Abstract |
(in Japanese) |
(See Japanese page) |
(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) |
(in English) |
Non-Orthogonal Multiple Access / deep reinforcement learning / transmit power control / / / / / |
Reference Info. |
IEICE Tech. Rep., vol. 122, no. 401, SRW2022-48, pp. 25-30, March 2023. |
Paper # |
SRW2022-48 |
Date of Issue |
2023-02-22 (SRW) |
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) |
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SRW2022-48 |
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 |
SRW |
Conference Code |
2023-03-RCS-SR-SRW |
Language |
Japanese |
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) |
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Non-Orthogonal Multiple Access |
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deep reinforcement learning |
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transmit power control |
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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.) |
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Speaker |
Author-1 |
Date Time |
2023-03-02 09:25:00 |
Presentation Time |
25 minutes |
Registration for |
SRW |
Paper # |
SRW2022-48 |
Volume (vol) |
vol.122 |
Number (no) |
no.401 |
Page |
pp.25-30 |
#Pages |
6 |
Date of Issue |
2023-02-22 (SRW) |
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