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A New Fault Detection Method Using Machine Learning in Analog Radio-on-Fiber MIMO Transmission System
http://hdl.handle.net/10061/0002001191
http://hdl.handle.net/10061/00020011915453791f-2f98-459e-a3fb-a6a6622962d5
| アイテムタイプ | 学術雑誌論文 / Journal Article(1) | |||||||||||||
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| 公開日 | 2025-10-06 | |||||||||||||
| タイトル | ||||||||||||||
| タイトル | A New Fault Detection Method Using Machine Learning in Analog Radio-on-Fiber MIMO Transmission System | |||||||||||||
| 言語 | ||||||||||||||
| 言語 | eng | |||||||||||||
| キーワード | ||||||||||||||
| 主題Scheme | Other | |||||||||||||
| 主題 | fault detection | |||||||||||||
| キーワード | ||||||||||||||
| 主題Scheme | Other | |||||||||||||
| 主題 | analog radio-on-fiber | |||||||||||||
| キーワード | ||||||||||||||
| 主題Scheme | Other | |||||||||||||
| 主題 | MIMO | |||||||||||||
| キーワード | ||||||||||||||
| 主題Scheme | Other | |||||||||||||
| 主題 | machine learning | |||||||||||||
| 資源タイプ | ||||||||||||||
| 資源タイプ | journal article | |||||||||||||
| アクセス権 | ||||||||||||||
| アクセス権 | open access | |||||||||||||
| 著者 |
Nakamura, Koichiro
× Nakamura, Koichiro
× 東野, 武史
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| 抄録 | ||||||||||||||
| 内容記述タイプ | Abstract | |||||||||||||
| 内容記述 | In this letter, we propose a new fault detection method in a wired-wireless multiple-input and multiple-output (MIMO) transmission over an analog radio-on-fiber (A-RoF) network. The A-RoF architecture makes the configuration of the remote node simple, however, lots of radio frequency (RF)-band analog devices are used in it, such as semiconductor fiber laser, optical fiber link, photo-detector and electrical amplifiers, and the methodology for detecting the fault on these devices has not been discussed. Conventional methods require dedicated devices for sending fault messages via out-of-band wireless data transmission, which increases the hardware requirement of the whole system configuration. This letter proposes a machine learning approach in an A-RoF-based MIMO transmission without any additional devices. | |||||||||||||
| 書誌情報 |
en : IEICE Communications Express 巻 14, 号 5, p. 174-176, ページ数 3, 発行日 2025-05-01 |
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| 出版者 | IEICE | |||||||||||||
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| 収録物識別子タイプ | EISSN | |||||||||||||
| 収録物識別子 | 2187-0136 | |||||||||||||
| 出版者版DOI | ||||||||||||||
| 関連タイプ | isReplacedBy | |||||||||||||
| 識別子タイプ | DOI | |||||||||||||
| 関連識別子 | https://doi.org/10.23919/comex.2025XBL0015 | |||||||||||||
| 出版者版URI | ||||||||||||||
| 関連タイプ | isReplacedBy | |||||||||||||
| 識別子タイプ | URI | |||||||||||||
| 関連識別子 | https://www.jstage.jst.go.jp/article/comex/14/5/14_2025XBL0015/_article/-char/ja/ | |||||||||||||
| 権利 | ||||||||||||||
| 権利情報Resource | https://creativecommons.org/licenses/by-nc-nd/4.0/ | |||||||||||||
| 権利情報 | This work is licensed under a Creative Commons Attribution Non Commercial, No Derivatives 4.0 License. Copyright © 2025 The Institute of Electronics, Information and Communication Engineers | |||||||||||||
| 著者版フラグ | ||||||||||||||
| 出版タイプ | NA | |||||||||||||