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Paper Abstract and Keywords
Presentation 2016-05-20 11:10
[Invited Talk] MmWave communication control scheme employing machine learning algorithm and RGB-D camera
Masahiro Morikura, Takayuki Nishio, Koji Yamamoto (Kyoto Univ.) IN2016-14 RCS2016-40
Abstract (in Japanese) (See Japanese page) 
(in English) In millimeter-wave (mmWave) communications, a frame loss rate increases and throughput is decreased sharply when a pedestrian blocks a line-of-sight path. To solve this problem, we propose two novel schemes. The first proposal is a proactive routing control scheme. The conventional reactive communication controls based on communication quality such as received signal strength indicator and frame loss rate have been studied, but it is difficult to avoid a period in which the human blockage degrades throughput until after the operation of reactive control has been completed. The proposed proactive routing control scheme for mmWave communications is based on human blockage prediction using RGB-D cameras. Our experimental results show that the proactive traffic control schemes reduce the duration in which human blockage degrades throughput performance.
The second proposal is related with a base station handover to solve the human blockage problem. In order to quickly transfer a mobile station communicating with one base station to another base station which provides higher throughput, the handover system obtains and updates throughput information between the station and each of base stations. Therefore, many control signals are required to transmit to obtain the throughput information and would waste mmWave radio resources. In this paper, we propose a mmWave throughput estimation scheme using an online machine learning algorithm and depth-image. The experiment results confirm that the scheme estimates temporal variation of throughputs more accurately than a compared scheme in various scenarios.
Keyword (in Japanese) (See Japanese page) 
(in English) mmWave communication / IEEE 802.11ad / human blockage / routing control / communication quality / RGB-D camera / WLAN /  
Reference Info. IEICE Tech. Rep., vol. 116, no. 46, RCS2016-40, pp. 89-94, May 2016.
Paper # RCS2016-40 
Date of Issue 2016-05-12 (IN, 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 IN2016-14 RCS2016-40

Conference Information
Committee IN RCS  
Conference Date 2016-05-19 - 2016-05-20 
Place (in Japanese) (See Japanese page) 
Place (in English) Kikai-Shinko-Kaikan Bldg. 
Topics (in Japanese) (See Japanese page) 
Topics (in English)  
Paper Information
Registration To RCS 
Conference Code 2016-05-IN-RCS 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) MmWave communication control scheme employing machine learning algorithm and RGB-D camera 
Sub Title (in English)  
Keyword(1) mmWave communication  
Keyword(2) IEEE 802.11ad  
Keyword(3) human blockage  
Keyword(4) routing control  
Keyword(5) communication quality  
Keyword(6) RGB-D camera  
Keyword(7) WLAN  
1st Author's Name Masahiro Morikura  
1st Author's Affiliation Kyoto University (Kyoto Univ.)
2nd Author's Name Takayuki Nishio  
2nd Author's Affiliation Kyoto University (Kyoto Univ.)
3rd Author's Name Koji Yamamoto  
3rd Author's Affiliation Kyoto University (Kyoto Univ.)
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Date Time 2016-05-20 11:10:00 
Presentation Time 45 
Registration for RCS 
Paper # IEICE-IN2016-14,IEICE-RCS2016-40 
Volume (vol) IEICE-116 
Number (no) no.45(IN), no.46(RCS) 
Page pp.73-78(IN), pp.89-94(RCS) 
#Pages IEICE-6 
Date of Issue IEICE-IN-2016-05-12,IEICE-RCS-2016-05-12 

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