Loading…

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...

Full description

Saved in:
Bibliographic Details
Main Authors: Nguyen, Van Linh, Tran, Duc Hoang, Nguyen, Huy, Chung, ByungDeok, Jang, Yeong Min
Format: Conference Proceeding
Language:English
Subjects:
Online Access:Request full text
Tags: Add Tag
No Tags, Be the first to tag this record!
cited_by
cites
container_end_page 739
container_issue
container_start_page 736
container_title
container_volume
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
fullrecord <record><control><sourceid>ieee_CHZPO</sourceid><recordid>TN_cdi_ieee_primary_10067044</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><ieee_id>10067044</ieee_id><sourcerecordid>10067044</sourcerecordid><originalsourceid>FETCH-LOGICAL-i204t-144b73b0dce97d748a2e174879cd5bc5f83f3a703a88f43b0bc9d1168ecb4cdc3</originalsourceid><addsrcrecordid>eNo1UMFqhDAUTAuFLlv_oIf0A7QvJprkWNy2K7h42PYsMXl2LUZF3cL-fS1tYWB4wzDMG0IeGESMgX7Ms6c8zxLJOI9iiHnEAFIJQlyRQEvF0jQRSbrimmxixVmYasVvSTDPnwDAYxAg9IZUO_zCbhg99gsdGnrIDyU92hN6DGszo6PluLTWdDQzHidDs8H7c78qSzv09HiZF_T0PLf9B90hjrRAM_U_l8flNLg7ctOYbsbgj7fk_eX5LduHRfm6vlCE7dpkCZkQteQ1OItaOimUiZGtJLV1SW2TRvGGGwncKNWI1Vhb7RhLFdpaWGf5ltz_5raIWI1T6810qf434d-syFdJ</addsrcrecordid><sourcetype>Publisher</sourcetype><iscdi>true</iscdi><recordtype>conference_proceeding</recordtype></control><display><type>conference_proceeding</type><title>Development of MIMO Scheme-based Optical Camera Communication System using Deep Learning method</title><source>IEEE Xplore All Conference Series</source><creator>Nguyen, Van Linh ; Tran, Duc Hoang ; Nguyen, Huy ; Chung, ByungDeok ; Jang, Yeong Min</creator><creatorcontrib>Nguyen, Van Linh ; Tran, Duc Hoang ; Nguyen, Huy ; Chung, ByungDeok ; Jang, Yeong Min</creatorcontrib><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.</description><identifier>EISSN: 2831-6983</identifier><identifier>EISBN: 9781665456456</identifier><identifier>EISBN: 1665456450</identifier><identifier>DOI: 10.1109/ICAIIC57133.2023.10067044</identifier><language>eng</language><publisher>IEEE</publisher><subject>Adaptive optics ; Cameras ; Deep learning ; Integrated optics ; Internet of Things ; Light emitting diodes ; multiple-input multiple-output ; optical camera communication ; Wireless communication</subject><ispartof>2023 International Conference on Artificial Intelligence in Information and Communication (ICAIIC), 2023, p.736-739</ispartof><woscitedreferencessubscribed>false</woscitedreferencessubscribed></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktohtml>$$Uhttps://ieeexplore.ieee.org/document/10067044$$EHTML$$P50$$Gieee$$H</linktohtml><link.rule.ids>309,310,777,781,786,787,27906,54536,54913</link.rule.ids><linktorsrc>$$Uhttps://ieeexplore.ieee.org/document/10067044$$EView_record_in_IEEE$$FView_record_in_$$GIEEE</linktorsrc></links><search><creatorcontrib>Nguyen, Van Linh</creatorcontrib><creatorcontrib>Tran, Duc Hoang</creatorcontrib><creatorcontrib>Nguyen, Huy</creatorcontrib><creatorcontrib>Chung, ByungDeok</creatorcontrib><creatorcontrib>Jang, Yeong Min</creatorcontrib><title>Development of MIMO Scheme-based Optical Camera Communication System using Deep Learning method</title><title>2023 International Conference on Artificial Intelligence in Information and Communication (ICAIIC)</title><addtitle>ICAIIC</addtitle><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.</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>
fulltext fulltext_linktorsrc
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
recordid cdi_ieee_primary_10067044
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
url http://sfxeu10.hosted.exlibrisgroup.com/loughborough?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-01-19T12%3A40%3A01IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-ieee_CHZPO&rft_val_fmt=info:ofi/fmt:kev:mtx:book&rft.genre=proceeding&rft.atitle=Development%20of%20MIMO%20Scheme-based%20Optical%20Camera%20Communication%20System%20using%20Deep%20Learning%20method&rft.btitle=2023%20International%20Conference%20on%20Artificial%20Intelligence%20in%20Information%20and%20Communication%20(ICAIIC)&rft.au=Nguyen,%20Van%20Linh&rft.date=2023-02-20&rft.spage=736&rft.epage=739&rft.pages=736-739&rft.eissn=2831-6983&rft_id=info:doi/10.1109/ICAIIC57133.2023.10067044&rft.eisbn=9781665456456&rft.eisbn_list=1665456450&rft_dat=%3Cieee_CHZPO%3E10067044%3C/ieee_CHZPO%3E%3Cgrp_id%3Ecdi_FETCH-LOGICAL-i204t-144b73b0dce97d748a2e174879cd5bc5f83f3a703a88f43b0bc9d1168ecb4cdc3%3C/grp_id%3E%3Coa%3E%3C/oa%3E%3Curl%3E%3C/url%3E&rft_id=info:oai/&rft_id=info:pmid/&rft_ieee_id=10067044&rfr_iscdi=true