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Paper Abstract and Keywords
Presentation 2022-02-24 09:40
Dynamic Scheduling for Updating Traffic Demand Prediction Model and Switching Resource Control in Satellite Communication System
Masaki Takahashi, Yuichi Kawamoto, Nei Kato (Tohoku Univ.) SAT2021-53
Abstract (in Japanese) (See Japanese page) 
(in English) Recently, the movement to link satellite communication systems with 5G networks has been accelerated worldwide, which will increase and diversify the traffic requirements to satellite communication systems in the near future. For satellite communication systems, which are expected to be connected to 5G networks, it is important to be able to improve the flexibility to control communication resources according to geographically and temporally changing traffic requirements. Therefore, applying traffic demand prediction using artificial intelligence technology for resource control in satellite communication systems leads to efficient resource allocation according to the time variation of traffic requirements. For this, it is effective to construct a dynamic scheduling scheme in which the functions of traffic demand prediction and resource control are coordinated with each other, by considering the delay of satellite links and the constraints on the time interval for resource control switching. In this study, we propose a dynamic scheduling scheme for resource control based on traffic demand prediction using artificial intelligence technology to reduce resource wastage in satellite communication systems. We evaluated the effectiveness of our scheduling scheme by comparing it with the periodic executions of resource control through a simulation analysis.
Keyword (in Japanese) (See Japanese page) 
(in English) Satellite communication system / Traffic demand prediction / Resource control / Dynamic scheduling / / / /  
Reference Info. IEICE Tech. Rep., vol. 121, no. 379, SAT2021-53, pp. 1-6, Feb. 2022.
Paper # SAT2021-53 
Date of Issue 2022-02-17 (SAT) 
ISSN Online edition: ISSN 2432-6380
Copyright
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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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Conference Information
Committee SAT SANE  
Conference Date 2022-02-24 - 2022-02-25 
Place (in Japanese) (See Japanese page) 
Place (in English) Online 
Topics (in Japanese) (See Japanese page) 
Topics (in English) Satellite technology, etc. 
Paper Information
Registration To SAT 
Conference Code 2022-02-SAT-SANE 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) Dynamic Scheduling for Updating Traffic Demand Prediction Model and Switching Resource Control in Satellite Communication System 
Sub Title (in English)  
Keyword(1) Satellite communication system  
Keyword(2) Traffic demand prediction  
Keyword(3) Resource control  
Keyword(4) Dynamic scheduling  
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1st Author's Name Masaki Takahashi  
1st Author's Affiliation Tohoku University (Tohoku Univ.)
2nd Author's Name Yuichi Kawamoto  
2nd Author's Affiliation Tohoku University (Tohoku Univ.)
3rd Author's Name Nei Kato  
3rd Author's Affiliation Tohoku University (Tohoku Univ.)
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Speaker Author-1 
Date Time 2022-02-24 09:40:00 
Presentation Time 25 minutes 
Registration for SAT 
Paper # SAT2021-53 
Volume (vol) vol.121 
Number (no) no.379 
Page pp.1-6 
#Pages
Date of Issue 2022-02-17 (SAT) 


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