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Paper Abstract and Keywords
Presentation 2019-08-27 16:15
[Invited Talk] Potentiality of machine learning based next generation wireless communication systems for smart connected devices
Riichi Kudo, Kahoko Takahashi, Takeru Inoue, Kohei Mizuno (NTT) CQ2019-72
Abstract (in Japanese) (See Japanese page) 
(in English) The connected devices which are autonomously operated need to recognize its position and surrounding environment by using sensors in real time for their accurate motions. Such smart connected devices have the accurate self-status information and surrounding environment while it is difficult to obtain the position, tilt, and conditions of the conventional portable communication devices. In this paper, the validity of the use of the accurate self-status and surrounding environment information is discussed for next generation wireless communications.
Keyword (in Japanese) (See Japanese page) 
(in English) Machine learning / Link quality prediction / / / / / /  
Reference Info. IEICE Tech. Rep., vol. 119, no. 183, CQ2019-72, pp. 79-84, Aug. 2019.
Paper # CQ2019-72 
Date of Issue 2019-08-20 (CQ) 
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 CQ2019-72

Conference Information
Committee CQ  
Conference Date 2019-08-27 - 2019-08-28 
Place (in Japanese) (See Japanese page) 
Place (in English) Hakodate arena 
Topics (in Japanese) (See Japanese page) 
Topics (in English) Machine Learning in Wireless Communication, AI, 6G/Beyond 5G, LPWA, Drone Network, Space Comminication, Underwater Communication, Communication, QoS and QoE in Wireless Communication, Wireless Resource Allocation, Wireless Transmission Quality, Cross layer Technology, Ad-hoc Network, IoT/M2M, Wireless, etc. 
Paper Information
Registration To CQ 
Conference Code 2019-08-CQ 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) Potentiality of machine learning based next generation wireless communication systems for smart connected devices 
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Keyword(1) Machine learning  
Keyword(2) Link quality prediction  
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1st Author's Name Riichi Kudo  
1st Author's Affiliation NTT (NTT)
2nd Author's Name Kahoko Takahashi  
2nd Author's Affiliation NTT (NTT)
3rd Author's Name Takeru Inoue  
3rd Author's Affiliation NTT (NTT)
4th Author's Name Kohei Mizuno  
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Speaker Author-1 
Date Time 2019-08-27 16:15:00 
Presentation Time 30 minutes 
Registration for CQ 
Paper # CQ2019-72 
Volume (vol) vol.119 
Number (no) no.183 
Page pp.79-84 
#Pages 6 
Date of Issue 2019-08-20 (CQ) 

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