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| Presentation | 2020-01-31 10:00 [Poster Presentation] A Study of MCS Index Prediction Using Depth Images for Bit-Rate Control in mmWave Communications Tomoya Mikuma, Takayuki Nishio, Masahiro Morikura (Kyoto Univ.), Yusuke Asai, Ryo Miyatake (NTT)  SeMI2019-111 |
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| Abstract | (in Japanese) | (See Japanese page) |
| (in English) | In millimeter-wave (mmWave) communications, link quality is decreased seriously when a line-of-sight (LOS) path is blocked by human bodies while its large bandwidth enables multi-Gbit/s transmission rates. In order to solve this degradation problem, a vision-assisted proactive network control scheme and a link quality prediction scheme have been proposed. However, the bit-rate needs to be controlled predictively in order to avoid high packet loss rates in a situation crowded with people. This paper proposes the proactive MCS Index prediction scheme for controlling the bit-rate predictively. Specifically, a deep neural network learns the relationship between measured depth images and MCS Index corresponding to the received power in several hundred milliseconds ahead of the time at which the depth images are obtained. Then, a future MCS Index can be directly predicted from depth images. The experimental results show that the proposed scheme reduces the outage probability and improves the average throughput in the proactive bit-rate control based on the predicted MCS Index. | |
| Keyword | (in Japanese) | (See Japanese page) |
| (in English) | mmWave communication / IEEE 802.11ad / RGB-D camera / MCS Index prediction / bit-rate control / / / | |
| Reference Info. | IEICE Tech. Rep., vol. 119, no. 406, SeMI2019-111, pp. 51-52, Jan. 2020. | |
| Paper # | SeMI2019-111 | |
| Date of Issue | 2020-01-23 (SeMI) | |
| 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 | SeMI2019-111 |
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| Conference Information | |
| Committee | SeMI |
| Conference Date | 2020-01-30 - 2020-01-31 |
| Place (in Japanese) | (See Japanese page) |
| Place (in English) | |
| Topics (in Japanese) | (See Japanese page) |
| Topics (in English) | |
| Paper Information | |
| Registration To | SeMI |
| Conference Code | 2020-01-SeMI |
| Language | Japanese |
| Title (in Japanese) | (See Japanese page) |
| Sub Title (in Japanese) | (See Japanese page) |
| Title (in English) | A Study of MCS Index Prediction Using Depth Images for Bit-Rate Control in mmWave Communications |
| Sub Title (in English) | |
| Keyword(1) | mmWave communication |
| Keyword(2) | IEEE 802.11ad |
| Keyword(3) | RGB-D camera |
| Keyword(4) | MCS Index prediction |
| Keyword(5) | bit-rate control |
| Keyword(6) | |
| Keyword(7) | |
| Keyword(8) | |
| 1st Author's Name | Tomoya Mikuma |
| 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 | Yusuke Asai |
| 4th Author's Affiliation | NTT (NTT) |
| 5th Author's Name | Ryo Miyatake |
| 5th Author's Affiliation | NTT (NTT) |
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| Speaker | Author-1 |
| Date Time | 2020-01-31 10:00:00 |
| Presentation Time | 90 minutes |
| Registration for | SeMI |
| Paper # | SeMI2019-111 |
| Volume (vol) | vol.119 |
| Number (no) | no.406 |
| Page | pp.51-52 |
| #Pages | 2 |
| Date of Issue | 2020-01-23 (SeMI) |
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