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Paper Abstract and Keywords
Presentation 2019-12-19 13:25
[Invited Lecture] Some Applications of Machine Learning to Wireless Communication
Masaaki Tanio, Naoto Ishii, Norifumi Kamiya (NEC) NS2019-141 RCS2019-244
Abstract (in Japanese) (See Japanese page) 
(in English) Research and development for the application of machine learning to various areas of signal processing in wireless communication is being extensively performed in recent years, aiming at the improvement of the communication performance. The considered region of application ranges from the physical layer to application layers. We show a first example, in which we apply machine learning to the design of distortion compensation circuit for a power amplifier in a wireless system transmitter; namely, we report the compensation performance of the distortion compensation circuit using a neural network for the nonlinear distortion of the power amplifier. Moreover, we show activity related to machine learning technology applied to communication control.
Keyword (in Japanese) (See Japanese page) 
(in English) Machine Learning / Signal Processing / Wireless Communication / Non Linear Distortion / / / /  
Reference Info. IEICE Tech. Rep., vol. 119, no. 345, RCS2019-244, pp. 43-43, Dec. 2019.
Paper # RCS2019-244 
Date of Issue 2019-12-12 (NS, RCS) 
ISSN Print edition: ISSN 0913-5685  Online edition: ISSN 2432-6380
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. (No. 10GA0019/12GB0052/13GB0056/17GB0034/18GB0034)
Download PDF NS2019-141 RCS2019-244

Conference Information
Committee NS RCS  
Conference Date 2019-12-19 - 2019-12-20 
Place (in Japanese) (See Japanese page) 
Place (in English) Memorial Hall of Alumni(Engineering), Tokushima Univ. 
Topics (in Japanese) (See Japanese page) 
Topics (in English) Multi-hop/Relay/Cooperation, Disaster-resistant wireless network, Sensor/Mesh network, Ad-hoc network, D2D/M2M, Wireless network coding, Handover/AP switching/Connected cell control/Load balancing among base stations/Mobile network dynamic reconfiguration, QoS/QoE assurance, Wireless VoIP, IoT, Edge computing, etc. 
Paper Information
Registration To RCS 
Conference Code 2019-12-NS-RCS 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) Some Applications of Machine Learning to Wireless Communication 
Sub Title (in English)  
Keyword(1) Machine Learning  
Keyword(2) Signal Processing  
Keyword(3) Wireless Communication  
Keyword(4) Non Linear Distortion  
1st Author's Name Masaaki Tanio  
1st Author's Affiliation NEC (NEC)
2nd Author's Name Naoto Ishii  
2nd Author's Affiliation NEC (NEC)
3rd Author's Name Norifumi Kamiya  
3rd Author's Affiliation NEC (NEC)
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Date Time 2019-12-19 13:25:00 
Presentation Time 25 
Registration for RCS 
Paper # IEICE-NS2019-141,IEICE-RCS2019-244 
Volume (vol) IEICE-119 
Number (no) no.344(NS), no.345(RCS) 
Page p.43 
#Pages IEICE-1 
Date of Issue IEICE-NS-2019-12-12,IEICE-RCS-2019-12-12 

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