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Presentation 2023-01-19 16:05
[Short Paper] Received SNR Prediction Using Two-sided Beam Search in mmWave Communication: An Experimental Study
Itsuki Yonemura, Ryosuke Hanahara, Takamochi Kanda, Koji Yamamoto (Kyoto Univ.), Takuto Arai, Syuki Wai, Tatsuhiko Iwakuni, Daisei Uchida, Naoki Kita (NTT) SeMI2022-87
Abstract (in Japanese) (See Japanese page) 
(in English) This paper experimentally demonstrates a novel received signal-to-noise ratio (SNR) prediction based on a two-sided beam search in millimeter wave (mmWave) networks toward 6G. In particular, the prediction uses the SNR through a two-sided beam search rather than the one-sided beam search assumed in existing studies. We believe that the received SNR prediction will lead to proactive control that solves the problem of mmWave networks, in which received power is significantly and rapidly attenuated by shielding. The mapping from the SNRs of the two-sided beam search to future received SNR was learned with LightGBM. The experimental results confirm that the method based on a two-sided beam search is more informative about the position and velocity information of obstacles than the method based on a one-sided beam search and that the received SNR prediction is more accurate.
Keyword (in Japanese) (See Japanese page) 
(in English) mmWave / received SNR prediction / LightGBM / / / / /  
Reference Info. IEICE Tech. Rep., vol. 122, no. 341, SeMI2022-87, pp. 65-69, Jan. 2023.
Paper # SeMI2022-87 
Date of Issue 2023-01-12 (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 SeMI  
Conference Date 2023-01-19 - 2023-01-20 
Place (in Japanese) (See Japanese page) 
Place (in English) Naruto grand hotel 
Topics (in Japanese) (See Japanese page) 
Topics (in English)  
Paper Information
Registration To SeMI 
Conference Code 2023-01-SeMI-SeMI 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) Received SNR Prediction Using Two-sided Beam Search in mmWave Communication: An Experimental Study 
Sub Title (in English)  
Keyword(1) mmWave  
Keyword(2) received SNR prediction  
Keyword(3) LightGBM  
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1st Author's Name Itsuki Yonemura  
1st Author's Affiliation Kyoto University (Kyoto Univ.)
2nd Author's Name Ryosuke Hanahara  
2nd Author's Affiliation Kyoto University (Kyoto Univ.)
3rd Author's Name Takamochi Kanda  
3rd Author's Affiliation Kyoto University (Kyoto Univ.)
4th Author's Name Koji Yamamoto  
4th Author's Affiliation Kyoto University (Kyoto Univ.)
5th Author's Name Takuto Arai  
5th Author's Affiliation NTT Corporation (NTT)
6th Author's Name Syuki Wai  
6th Author's Affiliation NTT Corporation (NTT)
7th Author's Name Tatsuhiko Iwakuni  
7th Author's Affiliation NTT Corporation (NTT)
8th Author's Name Daisei Uchida  
8th Author's Affiliation NTT Corporation (NTT)
9th Author's Name Naoki Kita  
9th Author's Affiliation NTT Corporation (NTT)
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Speaker Author-1 
Date Time 2023-01-19 16:05:00 
Presentation Time 10 minutes 
Registration for SeMI 
Paper # SeMI2022-87 
Volume (vol) vol.122 
Number (no) no.341 
Page pp.65-69 
#Pages
Date of Issue 2023-01-12 (SeMI) 


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