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| 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 |
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| 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. |
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| 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 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 | SR2016-55 |
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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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| Keyword(7) | |
| Keyword(8) | |
| 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 | Author-1 |
| Date Time | 2016-10-27 15:00:00 |
| Presentation Time | 150 minutes |
| Registration for | SR |
| Paper # | SR2016-55 |
| Volume (vol) | vol.116 |
| Number (no) | no.276 |
| Page | pp.1-6 |
| #Pages | 6 |
| Date of Issue | 2016-10-20 (SR) |
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