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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
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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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) 
Topics (in English)  
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)  
Keyword(1) NOMA  
Keyword(2) Channel Allocation  
Keyword(3) Laser Chaos Decision-Maker  
Keyword(4) Ultrafast  
Keyword(5) Total data rate  
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)
4th Author's Name Mikio Hasegawa  
4th Author's Affiliation 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 
Date of Issue 2023-03-19 (CCS) 

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