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Paper Abstract and Keywords
Presentation 2016-10-27 15:00
[Technology Exhibit] Realtime Throughput Estimation Using Depth Images for mmWave Communications
Hironao Okamoto, Takayuki Nishio, Masahiro Morikura (Kyoto Univ.), Daisuke Murayama, Katsuya Nakahira (NTT) SR2016-55
Abstract (in Japanese) (See Japanese page) 
(in English) The human blockage problem is an open issue in next-generation wireless access networks using millimeter-wave (mmWave) communications.A base station (BS) handover system is proposed for solving the human blockage problem.We proposed a camera-assisted proactive handover system where cameras observe the mmWave communication region and handover is triggered by a camera image based blockage prediction.In this paper, we propose a mmWave throughput estimation scheme using an online machine learning algorithm and depth-image.The algorithm learns the relationship between depth images and measured throughputs, and estimates throughput from depth images.The scheme provides a quantitative metric for BS selection in handover without transmitting any control frames.
We conducted a proof-of-concept experiment by using the shelf IEEE 802.11ad mmWave wireless local area network devices and an RGB-D camera.The experiment confirmed that in a situation where the throughput is limited to 1 Gbit/s, the proposed scheme estimates throughput from a depth image with an RMS error of 114--178 Mbit/s in real time.
Keyword (in Japanese) (See Japanese page) 
(in English) mmWave / machine learning / RGB-D camera / communication quality estimation / IEEE 802.11ad / / /  
Reference Info. IEICE Tech. Rep., vol. 116, no. 276, SR2016-55, pp. 1-6, Oct. 2016.
Paper # SR2016-55 
Date of Issue 2016-10-20 (SR) 
ISSN Print edition: ISSN 0913-5685  Online edition: ISSN 2432-6380
Copyright
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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)
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Conference Information
Committee SR  
Conference Date 2016-10-27 - 2016-10-28 
Place (in Japanese) (See Japanese page) 
Place (in English) Osaka Univ. Nakanoshima Center 
Topics (in Japanese) (See Japanese page) 
Topics (in English) Technical Exhibition, Product Exhibition, etc. 
Paper Information
Registration To SR 
Conference Code 2016-10-SR 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) Realtime Throughput Estimation Using Depth Images for mmWave Communications 
Sub Title (in English)  
Keyword(1) mmWave  
Keyword(2) machine learning  
Keyword(3) RGB-D camera  
Keyword(4) communication quality estimation  
Keyword(5) IEEE 802.11ad  
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1st Author's Name Hironao Okamoto  
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 Masahiro Morikura  
3rd Author's Affiliation Kyoto University (Kyoto Univ.)
4th Author's Name Daisuke Murayama  
4th Author's Affiliation NTT Corporation (NTT)
5th Author's Name Katsuya Nakahira  
5th Author's Affiliation NTT Corporation (NTT)
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Speaker
Date Time 2016-10-27 15:00:00 
Presentation Time 150 
Registration for SR 
Paper # IEICE-SR2016-55 
Volume (vol) IEICE-116 
Number (no) no.276 
Page pp.1-6 
#Pages IEICE-6 
Date of Issue IEICE-SR-2016-10-20 


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