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| Paper Abstract and Keywords | ||
| Presentation | 2022-07-14 14:30 IRS placement method for improving radio environment spaces shielded by structures Kazuki Fujii, Katsuya Suto (UEC)  SR2022-31 |
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| Abstract | (in Japanese) | (See Japanese page) |
| (in English) | Due to the linearity of radio waves used in Beyond 5G systems, users may suffer from outages even near a base station. To cope with the issue, an intelligent reflecting surface (IRS) has been proposed. IRS can improve the received signal strength by reflecting beamforming emitted from a base station. Although the conventional works have studied joint optimization of beamforming and reflecting, the challenge of IRS deployment has not been studied yet. This paper, therefore, proposes methods to evaluate IRS performance with low complexity and to decide the location of IRS with IRS effect estimation models. We propose three effect estimation models, i.e., mathematical function, neural network, and convolutional neural network. Based on these effect estimation models, we decide on IRS location with k-means clustering that avoids overlap of IRS candidates. Through computer simulations with Wireless InSite, we show the characteristics of effect estimation models. | |
| Keyword | (in Japanese) | (See Japanese page) |
| (in English) | IRS(Intelligent Reflecting Surface) / Intelligent Surface / placement decision / Neural Network / Convolutional Neural Network / / / | |
| Reference Info. | IEICE Tech. Rep., vol. 122, no. 107, SR2022-31, pp. 54-60, July 2022. | |
| Paper # | SR2022-31 | |
| Date of Issue | 2022-07-06 (SR) | |
| 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 | SR2022-31 |
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| Conference Information | |
| Committee | NS SR RCS SeMI RCC |
| Conference Date | 2022-07-13 - 2022-07-15 |
| Place (in Japanese) | (See Japanese page) |
| Place (in English) | The Kanazawa Theatre + Online |
| Topics (in Japanese) | (See Japanese page) |
| Topics (in English) | Distributed Wireless Network, M2M (Machine-to-Machine)，D2D (Device-to-Device)，IoT（Internet of Things）, etc |
| Paper Information | |
| Registration To | SR |
| Conference Code | 2022-07-NS-SR-RCS-SeMI-RCC |
| Language | Japanese |
| Title (in Japanese) | (See Japanese page) |
| Sub Title (in Japanese) | (See Japanese page) |
| Title (in English) | IRS placement method for improving radio environment spaces shielded by structures |
| Sub Title (in English) | |
| Keyword(1) | IRS(Intelligent Reflecting Surface) |
| Keyword(2) | Intelligent Surface |
| Keyword(3) | placement decision |
| Keyword(4) | Neural Network |
| Keyword(5) | Convolutional Neural Network |
| Keyword(6) | |
| Keyword(7) | |
| Keyword(8) | |
| 1st Author's Name | Kazuki Fujii |
| 1st Author's Affiliation | The University of Electro-Communications (UEC) |
| 2nd Author's Name | Katsuya Suto |
| 2nd Author's Affiliation | The University of Electro-Communications (UEC) |
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| Speaker | Author-1 |
| Date Time | 2022-07-14 14:30:00 |
| Presentation Time | 25 minutes |
| Registration for | SR |
| Paper # | SR2022-31 |
| Volume (vol) | vol.122 |
| Number (no) | no.107 |
| Page | pp.54-60 |
| #Pages | 7 |
| Date of Issue | 2022-07-06 (SR) |
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