Paper Abstract and Keywords |
Presentation |
2021-09-10 10:40
Link Quality Prediction using Multiple cameras in Indoor Environment for Wireless LAN Systems Kahoko Takahashi, Riichi Kudo, Tomoaki Ogawa (NTT) CQ2021-53 |
Abstract |
(in Japanese) |
(See Japanese page) |
(in English) |
This paper proposes a received power prediction scheme that uses deep-neural-network based camera image object detection in indoor environments. The proposed scheme uses two-step machine learning. The first block detects the connected device using multiple camera images and the second block predicts the received signal strength index using the detected object’s information. To evaluate its performance, an autonomous locomotion robot was developed and indoor experiments were conducted using a wireless LAN system with 5.6 GHz channel. Experiments show that the proposal matched or bettered the performance of conventional robot position-based prediction regardless of lead time. |
Keyword |
(in Japanese) |
(See Japanese page) |
(in English) |
Link Quality Prediction / Wireless LAN / Machine Learning / Object Detection / / / / |
Reference Info. |
IEICE Tech. Rep., vol. 121, no. 173, CQ2021-53, pp. 77-81, Sept. 2021. |
Paper # |
CQ2021-53 |
Date of Issue |
2021-09-02 (CQ) |
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) |
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CQ2021-53 |
Conference Information |
Committee |
CQ MIKA |
Conference Date |
2021-09-09 - 2021-09-10 |
Place (in Japanese) |
(See Japanese page) |
Place (in English) |
Online |
Topics (in Japanese) |
(See Japanese page) |
Topics (in English) |
Wireless Communications Quality, 6G, IoT, Resource Management, Wireless Transmission, Cross layer Technologies, etc. |
Paper Information |
Registration To |
CQ |
Conference Code |
2021-09-CQ-MIKA |
Language |
Japanese |
Title (in Japanese) |
(See Japanese page) |
Sub Title (in Japanese) |
(See Japanese page) |
Title (in English) |
Link Quality Prediction using Multiple cameras in Indoor Environment for Wireless LAN Systems |
Sub Title (in English) |
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Keyword(1) |
Link Quality Prediction |
Keyword(2) |
Wireless LAN |
Keyword(3) |
Machine Learning |
Keyword(4) |
Object Detection |
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1st Author's Name |
Kahoko Takahashi |
1st Author's Affiliation |
Nippon Telegraph and Telephone Corporation (NTT) |
2nd Author's Name |
Riichi Kudo |
2nd Author's Affiliation |
Nippon Telegraph and Telephone Corporation (NTT) |
3rd Author's Name |
Tomoaki Ogawa |
3rd Author's Affiliation |
Nippon Telegraph and Telephone Corporation (NTT) |
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Speaker |
Author-1 |
Date Time |
2021-09-10 10:40:00 |
Presentation Time |
20 minutes |
Registration for |
CQ |
Paper # |
CQ2021-53 |
Volume (vol) |
vol.121 |
Number (no) |
no.173 |
Page |
pp.77-81 |
#Pages |
5 |
Date of Issue |
2021-09-02 (CQ) |
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