Paper Abstract and Keywords |
Presentation |
2023-03-26 16:25
Scalable Channel Allocation in Downlink NOMA Using Parallel Array of Laser Chaos Decision-Maker Masaki Sugiyama (TUS), Li Aohan (UEC), Makoto Naruse (UTokyo), Mikio Hasegawa (TUS) CCS2022-79 |
Abstract |
(in Japanese) |
(See Japanese page) |
(in English) |
Non-orthogonal multiple access (NOMA) is a technology that allows multiple users to share the same channel with appropriate power and channel allocation at the transmitter, which is then decoded at the receiver. Faster channel allocation in NOMA is necessary to maintain optimal performance in a dynamic environment. Previous research has shown that the Laser Chaos Decision-Maker solves ultra-fastly the multi-armed bandit problem which is one of the decision-making problems. However, as the number of users increases, the complexity of channel allocation increases rapidly, making it challenging to achieve appropriate channel allocation using the single Laser Chaos Decision-Maker method from previous research. Therefore, we propose a parallel structure of Laser Chaos Decision-Makers to determine the channel for each user. By using this parallel structure, the proposed method can achieve effective and ultra-fast channel allocation regardless of the number of users. Simulation results show that our proposed method can achieve higher total data rates than C-NOMA and UCGD-NOMA in multiple wireless communication environments with varying densities and distance attenuation. |
Keyword |
(in Japanese) |
(See Japanese page) |
(in English) |
NOMA / Channel Allocation / Laser Chaos Decision-Maker / Ultrafast / Total data rate / / / |
Reference Info. |
IEICE Tech. Rep., vol. 122, no. 453, CCS2022-79, pp. 91-96, March 2023. |
Paper # |
CCS2022-79 |
Date of Issue |
2023-03-19 (CCS) |
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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CCS2022-79 |
Conference Information |
Committee |
CCS |
Conference Date |
2023-03-26 - 2023-03-27 |
Place (in Japanese) |
(See Japanese page) |
Place (in English) |
RUSUTSU RESORT |
Topics (in Japanese) |
(See Japanese page) |
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Paper Information |
Registration To |
CCS |
Conference Code |
2023-03-CCS |
Language |
Japanese |
Title (in Japanese) |
(See Japanese page) |
Sub Title (in Japanese) |
(See Japanese page) |
Title (in English) |
Scalable Channel Allocation in Downlink NOMA Using Parallel Array of Laser Chaos Decision-Maker |
Sub Title (in English) |
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NOMA |
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Channel Allocation |
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Laser Chaos Decision-Maker |
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Ultrafast |
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Total data rate |
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1st Author's Name |
Masaki Sugiyama |
1st Author's Affiliation |
Tokyo University of Science (TUS) |
2nd Author's Name |
Li Aohan |
2nd Author's Affiliation |
The University of Electro-Communications (UEC) |
3rd Author's Name |
Makoto Naruse |
3rd Author's Affiliation |
University of Tokyo (UTokyo) |
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Mikio Hasegawa |
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Tokyo University of Science (TUS) |
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Speaker |
Author-1 |
Date Time |
2023-03-26 16:25:00 |
Presentation Time |
20 minutes |
Registration for |
CCS |
Paper # |
CCS2022-79 |
Volume (vol) |
vol.122 |
Number (no) |
no.453 |
Page |
pp.91-96 |
#Pages |
6 |
Date of Issue |
2023-03-19 (CCS) |
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