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Development of MIMO Scheme-based Optical Camera Communication System using Deep Learning method
The Internet of Things (IoT), satellite communication, and other communication systems that utilize radio frequency waveforms frequently use modern wireless communication technologies. Wireless communication provides benefits over conventional communication due to its simple installation. One of the...
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creator | Nguyen, Van Linh Tran, Duc Hoang Nguyen, Huy Chung, ByungDeok Jang, Yeong Min |
description | The Internet of Things (IoT), satellite communication, and other communication systems that utilize radio frequency waveforms frequently use modern wireless communication technologies. Wireless communication provides benefits over conventional communication due to its simple installation. One of the most well-known of them is Optical Camera Communication (OCC) technology, which has several advantages, including no negative effects on human health, good security, and inexpensive operating expenses. In this paper, we offer a multiple-input multiple-output modulation method that uses deep learning (DL) to recognize light-emitting diodes and predict thresholds while considering mobility assistance and long-distance communication into considerations. Our suggested strategy employs DL algorithms to enhance the performance of the traditional camera on-off keying (C-OOK) scheme by reducing bit error rate, communication distance., and data rate. |
doi_str_mv | 10.1109/ICAIIC57133.2023.10067044 |
format | conference_proceeding |
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Wireless communication provides benefits over conventional communication due to its simple installation. One of the most well-known of them is Optical Camera Communication (OCC) technology, which has several advantages, including no negative effects on human health, good security, and inexpensive operating expenses. In this paper, we offer a multiple-input multiple-output modulation method that uses deep learning (DL) to recognize light-emitting diodes and predict thresholds while considering mobility assistance and long-distance communication into considerations. 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Our suggested strategy employs DL algorithms to enhance the performance of the traditional camera on-off keying (C-OOK) scheme by reducing bit error rate, communication distance., and data rate.</description><subject>Adaptive optics</subject><subject>Cameras</subject><subject>Deep learning</subject><subject>Integrated optics</subject><subject>Internet of Things</subject><subject>Light emitting diodes</subject><subject>multiple-input multiple-output</subject><subject>optical camera communication</subject><subject>Wireless communication</subject><issn>2831-6983</issn><isbn>9781665456456</isbn><isbn>1665456450</isbn><fulltext>true</fulltext><rsrctype>conference_proceeding</rsrctype><creationdate>2023</creationdate><recordtype>conference_proceeding</recordtype><sourceid>6IE</sourceid><recordid>eNo1UMFqhDAUTAuFLlv_oIf0A7QvJprkWNy2K7h42PYsMXl2LUZF3cL-fS1tYWB4wzDMG0IeGESMgX7Ms6c8zxLJOI9iiHnEAFIJQlyRQEvF0jQRSbrimmxixVmYasVvSTDPnwDAYxAg9IZUO_zCbhg99gsdGnrIDyU92hN6DGszo6PluLTWdDQzHidDs8H7c78qSzv09HiZF_T0PLf9B90hjrRAM_U_l8flNLg7ctOYbsbgj7fk_eX5LduHRfm6vlCE7dpkCZkQteQ1OItaOimUiZGtJLV1SW2TRvGGGwncKNWI1Vhb7RhLFdpaWGf5ltz_5raIWI1T6810qf434d-syFdJ</recordid><startdate>20230220</startdate><enddate>20230220</enddate><creator>Nguyen, Van Linh</creator><creator>Tran, Duc Hoang</creator><creator>Nguyen, Huy</creator><creator>Chung, ByungDeok</creator><creator>Jang, Yeong Min</creator><general>IEEE</general><scope>6IE</scope><scope>6IL</scope><scope>CBEJK</scope><scope>RIE</scope><scope>RIL</scope></search><sort><creationdate>20230220</creationdate><title>Development of MIMO Scheme-based Optical Camera Communication System using Deep Learning method</title><author>Nguyen, Van Linh ; Tran, Duc Hoang ; Nguyen, Huy ; Chung, ByungDeok ; Jang, Yeong Min</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-i204t-144b73b0dce97d748a2e174879cd5bc5f83f3a703a88f43b0bc9d1168ecb4cdc3</frbrgroupid><rsrctype>conference_proceedings</rsrctype><prefilter>conference_proceedings</prefilter><language>eng</language><creationdate>2023</creationdate><topic>Adaptive optics</topic><topic>Cameras</topic><topic>Deep learning</topic><topic>Integrated optics</topic><topic>Internet of Things</topic><topic>Light emitting diodes</topic><topic>multiple-input multiple-output</topic><topic>optical camera communication</topic><topic>Wireless communication</topic><toplevel>online_resources</toplevel><creatorcontrib>Nguyen, Van Linh</creatorcontrib><creatorcontrib>Tran, Duc Hoang</creatorcontrib><creatorcontrib>Nguyen, Huy</creatorcontrib><creatorcontrib>Chung, ByungDeok</creatorcontrib><creatorcontrib>Jang, Yeong Min</creatorcontrib><collection>IEEE Electronic Library (IEL) Conference Proceedings</collection><collection>IEEE Proceedings Order Plan All Online (POP All Online) 1998-present by volume</collection><collection>IEEE Xplore All Conference Proceedings</collection><collection>IEEE Xplore</collection><collection>IEEE Proceedings Order Plans (POP All) 1998-Present</collection></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext_linktorsrc</fulltext></delivery><addata><au>Nguyen, Van Linh</au><au>Tran, Duc Hoang</au><au>Nguyen, Huy</au><au>Chung, ByungDeok</au><au>Jang, Yeong Min</au><format>book</format><genre>proceeding</genre><ristype>CONF</ristype><atitle>Development of MIMO Scheme-based Optical Camera Communication System using Deep Learning method</atitle><btitle>2023 International Conference on Artificial Intelligence in Information and Communication (ICAIIC)</btitle><stitle>ICAIIC</stitle><date>2023-02-20</date><risdate>2023</risdate><spage>736</spage><epage>739</epage><pages>736-739</pages><eissn>2831-6983</eissn><eisbn>9781665456456</eisbn><eisbn>1665456450</eisbn><abstract>The Internet of Things (IoT), satellite communication, and other communication systems that utilize radio frequency waveforms frequently use modern wireless communication technologies. Wireless communication provides benefits over conventional communication due to its simple installation. One of the most well-known of them is Optical Camera Communication (OCC) technology, which has several advantages, including no negative effects on human health, good security, and inexpensive operating expenses. In this paper, we offer a multiple-input multiple-output modulation method that uses deep learning (DL) to recognize light-emitting diodes and predict thresholds while considering mobility assistance and long-distance communication into considerations. Our suggested strategy employs DL algorithms to enhance the performance of the traditional camera on-off keying (C-OOK) scheme by reducing bit error rate, communication distance., and data rate.</abstract><pub>IEEE</pub><doi>10.1109/ICAIIC57133.2023.10067044</doi><tpages>4</tpages></addata></record> |
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identifier | EISSN: 2831-6983 |
ispartof | 2023 International Conference on Artificial Intelligence in Information and Communication (ICAIIC), 2023, p.736-739 |
issn | 2831-6983 |
language | eng |
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source | IEEE Xplore All Conference Series |
subjects | Adaptive optics Cameras Deep learning Integrated optics Internet of Things Light emitting diodes multiple-input multiple-output optical camera communication Wireless communication |
title | Development of MIMO Scheme-based Optical Camera Communication System using Deep Learning method |
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