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Paper Abstract and Keywords
Presentation 2024-01-19 11:05
5G throughput prediction for 28GHz cell area using surrounding spatial information
Hisashi Nagata, Riichi Kudo, kahoko takahashi, Fujita Takafumi (NIPPON TELEGRAPH AND TELEPHONE CORPORATION), Yuya Aoki, Morihiro Yoshifumi (NTT DOCOMO, INC.) SeMI2023-67
Abstract (in Japanese) (See Japanese page) 
(in English) Every thing is connected to the network, and the amount of mobile traffic is increasing year by year. Therefore, the use of millimeter-wave is expected. However, millimeter-wave has problems with communication stability, and the link quality may deteriorate significantly due to the influence of objects surrounding the terminal. In order to stably utilize millimeter-wave bands, we believe that it is necessary to predict future LQ predictions and adaptively control wireless communication. 5G throughput prediction method has been proposed that uses the position, speed, and direction of the terminal and its surrounding objects as spatial information, but it is necessary to use different prediction models depending on the number of surrounding objects. In this paper, we propose a 5G prediction model that responds to changes in the number of surrounding objects. For evaluation, we constructed an indoor experimental environment in which a pedestrian has terminal connected to 5G network, and there are other pedestrians. We prepared an autonomous robot as a substitute for pedestrians and efficiently collected the data needed for learning. We prepared three patterns of up to three pedestrians and compared the prediction errors between a method that creates a prediction model for each and a proposed method that a common prediction model for these three patterns.
Keyword (in Japanese) (See Japanese page) 
(in English) 5G / millimeter-wave / spatial information / communication link quality prediction / / / /  
Reference Info. IEICE Tech. Rep., vol. 123, no. 345, SeMI2023-67, pp. 94-99, Jan. 2024.
Paper # SeMI2023-67 
Date of Issue 2024-01-11 (SeMI) 
ISSN Online edition: ISSN 2432-6380
Copyright
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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 SeMI  
Conference Date 2024-01-18 - 2024-01-19 
Place (in Japanese) (See Japanese page) 
Place (in English) Raki House Kaiji 
Topics (in Japanese) (See Japanese page) 
Topics (in English)  
Paper Information
Registration To SeMI 
Conference Code 2024-01-SeMI 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) 5G throughput prediction for 28GHz cell area using surrounding spatial information 
Sub Title (in English)  
Keyword(1) 5G  
Keyword(2) millimeter-wave  
Keyword(3) spatial information  
Keyword(4) communication link quality prediction  
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1st Author's Name Hisashi Nagata  
1st Author's Affiliation NIPPON TELEGRAPH AND TELEPHONE CORPORATION (NIPPON TELEGRAPH AND TELEPHONE CORPORATION)
2nd Author's Name Riichi Kudo  
2nd Author's Affiliation NIPPON TELEGRAPH AND TELEPHONE CORPORATION (NIPPON TELEGRAPH AND TELEPHONE CORPORATION)
3rd Author's Name kahoko takahashi  
3rd Author's Affiliation NIPPON TELEGRAPH AND TELEPHONE CORPORATION (NIPPON TELEGRAPH AND TELEPHONE CORPORATION)
4th Author's Name Fujita Takafumi  
4th Author's Affiliation NIPPON TELEGRAPH AND TELEPHONE CORPORATION (NIPPON TELEGRAPH AND TELEPHONE CORPORATION)
5th Author's Name Yuya Aoki  
5th Author's Affiliation NTT DOCOMO, INC. (NTT DOCOMO, INC.)
6th Author's Name Morihiro Yoshifumi  
6th Author's Affiliation NTT DOCOMO, INC. (NTT DOCOMO, INC.)
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Speaker Author-1 
Date Time 2024-01-19 11:05:00 
Presentation Time 20 minutes 
Registration for SeMI 
Paper # SeMI2023-67 
Volume (vol) vol.123 
Number (no) no.345 
Page pp.94-99 
#Pages
Date of Issue 2024-01-11 (SeMI) 


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