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Paper Abstract and Keywords
Presentation 2024-01-25 13:10
[Short Paper] Performance Evaluations on Deep Reinfocement Leanring based Analog Beamforming in Dynamic Senarios
Daisuke Sasaki, Xiaoyan Wang, Zhou Hang (Ibaraki Univ.), Umehira Masahiro (Nanzan Univ.) SR2023-72
Abstract (in Japanese) (See Japanese page) 
(in English) As the development of small cell architecture in B5G networks, on one hand, the frequency utilization efficiency could be significantly improved, on the other hand, the inter-cell interference occurs. To solve this problem, analog beamforming which has low hardware cost and power consumption has been widely investigated. In this research, we propose a deep reinforcement learning based analog beamforming control method to maximize the total throughput of the whole network, and conduct performance evaluations through computer simulations in dynamic scenarios where user equipment moves randomly.
Keyword (in Japanese) (See Japanese page) 
(in English) Deep reinforcement learning / analog beamforming / transmit power control / / / / /  
Reference Info. IEICE Tech. Rep., vol. 123, no. 369, SR2023-72, pp. 22-24, Jan. 2024.
Paper # SR2023-72 
Date of Issue 2024-01-18 (SR) 
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 SR2023-72

Conference Information
Committee SR  
Conference Date 2024-01-25 - 2024-01-26 
Place (in Japanese) (See Japanese page) 
Place (in English) Nagano-ken JA building 
Topics (in Japanese) (See Japanese page) 
Topics (in English) Cognitive Radio, Dynamic Spectrum Sharing, Heterogeneous Network, SDN, AI/ML application 
Paper Information
Registration To SR 
Conference Code 2024-01-SR 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) Performance Evaluations on Deep Reinfocement Leanring based Analog Beamforming in Dynamic Senarios 
Sub Title (in English)  
Keyword(1) Deep reinforcement learning  
Keyword(2) analog beamforming  
Keyword(3) transmit power control  
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1st Author's Name Daisuke Sasaki  
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 Umehira Masahiro  
4th Author's Affiliation Nanzan University (Nanzan Univ.)
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Speaker Author-1 
Date Time 2024-01-25 13:10:00 
Presentation Time 15 minutes 
Registration for SR 
Paper # SR2023-72 
Volume (vol) vol.123 
Number (no) no.369 
Page pp.22-24 
#Pages 3 
Date of Issue 2024-01-18 (SR) 

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