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Performance analysis in multiuser downlink visible light communication MIMO system using SSK and optical orthogonal codes

Summary This paper considers multiuser downlink transmission and detection in a multiple input‐multiple output (MIMO) visible light communication (VLC) system. We combine two promising techniques: space‐shift keying (SSK) and optical orthogonal codes (OOCs). Multiuser downlink transmission is realiz...

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Published in:International journal of communication systems 2024-12, Vol.37 (18), p.n/a
Main Authors: Wu, Wei‐Chiang, Chen, Gan‐Lin
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description Summary This paper considers multiuser downlink transmission and detection in a multiple input‐multiple output (MIMO) visible light communication (VLC) system. We combine two promising techniques: space‐shift keying (SSK) and optical orthogonal codes (OOCs). Multiuser downlink transmission is realized by allowing each activated LED to transmit user‐specific OOC simultaneously. An OOC despreader is implemented at the front end of each user terminal (UT) to extract the desired signal and mitigate multiuser interference (MUI). The second part of UT receiver aims to extract the index of the corresponding active LED based on maximum likelihood (ML) or zero‐forcing (ZF) algorithm. The figure of merit we used to access the performance of the proposed downlink multiuser SSK system is the average symbol error rate (SER). Comprehensive Monte Carlo simulations have been undertaken for different system setup to evaluate SER at UT receiver. It is demonstrated that for a specified SER, the required SNR for ML‐based detection algorithm is 3 dB less than the ZF detector in the MUI‐free scenario. On the other hand, the ZF detector outperforms ML detector in the case with residual MUI and limited channel state information (CSI). Both algorithms are computationally attractive, hence can be put into practice in multiuser VLC MIMO system. This paper considers a space‐shift keying (SSK)‐based and optical orthogonal code (OOC)‐aided multiuser downlink VLC‐MIMO system. Multiuser downlink transmission is realized by allowing each activated LED to transmit user‐specific optical orthogonal code (OOC). An OOC despreader is implemented in the front end of each user terminal (UT) to extract the desired signal to mitigate multiuser interference (MUI) and the index of the activated LED is identified by maximum likelihood (ML) or zero‐forcing (ZF) algorithm.
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We combine two promising techniques: space‐shift keying (SSK) and optical orthogonal codes (OOCs). Multiuser downlink transmission is realized by allowing each activated LED to transmit user‐specific OOC simultaneously. An OOC despreader is implemented at the front end of each user terminal (UT) to extract the desired signal and mitigate multiuser interference (MUI). The second part of UT receiver aims to extract the index of the corresponding active LED based on maximum likelihood (ML) or zero‐forcing (ZF) algorithm. The figure of merit we used to access the performance of the proposed downlink multiuser SSK system is the average symbol error rate (SER). Comprehensive Monte Carlo simulations have been undertaken for different system setup to evaluate SER at UT receiver. It is demonstrated that for a specified SER, the required SNR for ML‐based detection algorithm is 3 dB less than the ZF detector in the MUI‐free scenario. 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An OOC despreader is implemented in the front end of each user terminal (UT) to extract the desired signal to mitigate multiuser interference (MUI) and the index of the activated LED is identified by maximum likelihood (ML) or zero‐forcing (ZF) algorithm.</description><identifier>ISSN: 1074-5351</identifier><identifier>EISSN: 1099-1131</identifier><identifier>DOI: 10.1002/dac.5949</identifier><language>eng</language><publisher>Chichester: Wiley Subscription Services, Inc</publisher><subject>Algorithms ; Downlinking ; Figure of merit ; maximum likelihood (ML) ; MIMO communication ; Monte Carlo simulation ; multiuser ; Optical communication ; optical orthogonal code (OOC) ; Performance evaluation ; Sensors ; space shift keying (SSK) ; zero forcing (ZF)</subject><ispartof>International journal of communication systems, 2024-12, Vol.37 (18), p.n/a</ispartof><rights>2024 John Wiley &amp; Sons Ltd.</rights><rights>2024 John Wiley &amp; Sons, Ltd.</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><cites>FETCH-LOGICAL-c2549-25aa47c99817d33c7b614e21f673dbdea42815037801c957d04edef803fb488d3</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><link.rule.ids>314,776,780,27901,27902</link.rule.ids></links><search><creatorcontrib>Wu, Wei‐Chiang</creatorcontrib><creatorcontrib>Chen, Gan‐Lin</creatorcontrib><title>Performance analysis in multiuser downlink visible light communication MIMO system using SSK and optical orthogonal codes</title><title>International journal of communication systems</title><description>Summary This paper considers multiuser downlink transmission and detection in a multiple input‐multiple output (MIMO) visible light communication (VLC) system. 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On the other hand, the ZF detector outperforms ML detector in the case with residual MUI and limited channel state information (CSI). Both algorithms are computationally attractive, hence can be put into practice in multiuser VLC MIMO system. This paper considers a space‐shift keying (SSK)‐based and optical orthogonal code (OOC)‐aided multiuser downlink VLC‐MIMO system. Multiuser downlink transmission is realized by allowing each activated LED to transmit user‐specific optical orthogonal code (OOC). 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We combine two promising techniques: space‐shift keying (SSK) and optical orthogonal codes (OOCs). Multiuser downlink transmission is realized by allowing each activated LED to transmit user‐specific OOC simultaneously. An OOC despreader is implemented at the front end of each user terminal (UT) to extract the desired signal and mitigate multiuser interference (MUI). The second part of UT receiver aims to extract the index of the corresponding active LED based on maximum likelihood (ML) or zero‐forcing (ZF) algorithm. The figure of merit we used to access the performance of the proposed downlink multiuser SSK system is the average symbol error rate (SER). Comprehensive Monte Carlo simulations have been undertaken for different system setup to evaluate SER at UT receiver. It is demonstrated that for a specified SER, the required SNR for ML‐based detection algorithm is 3 dB less than the ZF detector in the MUI‐free scenario. On the other hand, the ZF detector outperforms ML detector in the case with residual MUI and limited channel state information (CSI). Both algorithms are computationally attractive, hence can be put into practice in multiuser VLC MIMO system. This paper considers a space‐shift keying (SSK)‐based and optical orthogonal code (OOC)‐aided multiuser downlink VLC‐MIMO system. Multiuser downlink transmission is realized by allowing each activated LED to transmit user‐specific optical orthogonal code (OOC). An OOC despreader is implemented in the front end of each user terminal (UT) to extract the desired signal to mitigate multiuser interference (MUI) and the index of the activated LED is identified by maximum likelihood (ML) or zero‐forcing (ZF) algorithm.</abstract><cop>Chichester</cop><pub>Wiley Subscription Services, Inc</pub><doi>10.1002/dac.5949</doi><tpages>15</tpages></addata></record>
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subjects Algorithms
Downlinking
Figure of merit
maximum likelihood (ML)
MIMO communication
Monte Carlo simulation
multiuser
Optical communication
optical orthogonal code (OOC)
Performance evaluation
Sensors
space shift keying (SSK)
zero forcing (ZF)
title Performance analysis in multiuser downlink visible light communication MIMO system using SSK and optical orthogonal codes
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