PAPR Reduction Using Selective Mapping of an ACO-OFDM Hybrid PLC/VLC System for IoT Applications
The recent advances and developments in Internet of Things (IoT) have enabled numerous IoT applications in various sectors such as smart healthcare, industrial IoT and smart lighting. In this paper, the performance of IoT devices in a hostile environment is investigated, more specifically, for monit...
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IEEE
2024-01-01
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| Series: | IEEE Access |
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| Online Access: | https://ieeexplore.ieee.org/document/10804121/ |
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| author | Irvine Mapfumo Thokozani Shongwe |
| author_facet | Irvine Mapfumo Thokozani Shongwe |
| author_sort | Irvine Mapfumo |
| collection | DOAJ |
| description | The recent advances and developments in Internet of Things (IoT) have enabled numerous IoT applications in various sectors such as smart healthcare, industrial IoT and smart lighting. In this paper, the performance of IoT devices in a hostile environment is investigated, more specifically, for monitoring applications in underground environments. The considered system will utilise the existing power line communication (PLC) channels and visible light communication (VLC) technology to communicate the data collected underground to the overground gateways. To enhance the suggested system’s performance, we implement preprocessing at the transmitting IoT node so that the signal detection at the receiving node becomes more efficient. The proposed hybrid PLC/VLC network system utilises selective mapping (SLM) method for PAPR reduction and asymmetrically clipped optical-orthogonal frequency division multiplexing (ACO-OFDM). Closed-form analytical expressions for three different performance metrics, namely, likelihood of blanking error, likelihood of correct detection and output signal-to-noise ratio, will be derived and validated with computer simulations. The results demonstrate that the proposed system can considerably improve the reliability and detection accuracy of impulsive noise. |
| format | Article |
| id | doaj-art-b378a6ceea224091bc0eeb07e14a60f1 |
| institution | Kabale University |
| issn | 2169-3536 |
| language | English |
| publishDate | 2024-01-01 |
| publisher | IEEE |
| record_format | Article |
| series | IEEE Access |
| spelling | doaj-art-b378a6ceea224091bc0eeb07e14a60f12024-12-21T00:01:17ZengIEEEIEEE Access2169-35362024-01-011219080919082010.1109/ACCESS.2024.351901610804121PAPR Reduction Using Selective Mapping of an ACO-OFDM Hybrid PLC/VLC System for IoT ApplicationsIrvine Mapfumo0https://orcid.org/0000-0002-2736-3819Thokozani Shongwe1https://orcid.org/0000-0002-3011-7600Department of Electrical and Electronic Engineering Science, University of Johannesburg, Johannesburg, South AfricaDepartment of Electrical and Electronic Engineering Science, University of Johannesburg, Johannesburg, South AfricaThe recent advances and developments in Internet of Things (IoT) have enabled numerous IoT applications in various sectors such as smart healthcare, industrial IoT and smart lighting. In this paper, the performance of IoT devices in a hostile environment is investigated, more specifically, for monitoring applications in underground environments. The considered system will utilise the existing power line communication (PLC) channels and visible light communication (VLC) technology to communicate the data collected underground to the overground gateways. To enhance the suggested system’s performance, we implement preprocessing at the transmitting IoT node so that the signal detection at the receiving node becomes more efficient. The proposed hybrid PLC/VLC network system utilises selective mapping (SLM) method for PAPR reduction and asymmetrically clipped optical-orthogonal frequency division multiplexing (ACO-OFDM). Closed-form analytical expressions for three different performance metrics, namely, likelihood of blanking error, likelihood of correct detection and output signal-to-noise ratio, will be derived and validated with computer simulations. The results demonstrate that the proposed system can considerably improve the reliability and detection accuracy of impulsive noise.https://ieeexplore.ieee.org/document/10804121/Internet of Things (IoT)orthogonal frequency division multiplexing (OFDM)power line communicationvisible light communication |
| spellingShingle | Irvine Mapfumo Thokozani Shongwe PAPR Reduction Using Selective Mapping of an ACO-OFDM Hybrid PLC/VLC System for IoT Applications IEEE Access Internet of Things (IoT) orthogonal frequency division multiplexing (OFDM) power line communication visible light communication |
| title | PAPR Reduction Using Selective Mapping of an ACO-OFDM Hybrid PLC/VLC System for IoT Applications |
| title_full | PAPR Reduction Using Selective Mapping of an ACO-OFDM Hybrid PLC/VLC System for IoT Applications |
| title_fullStr | PAPR Reduction Using Selective Mapping of an ACO-OFDM Hybrid PLC/VLC System for IoT Applications |
| title_full_unstemmed | PAPR Reduction Using Selective Mapping of an ACO-OFDM Hybrid PLC/VLC System for IoT Applications |
| title_short | PAPR Reduction Using Selective Mapping of an ACO-OFDM Hybrid PLC/VLC System for IoT Applications |
| title_sort | papr reduction using selective mapping of an aco ofdm hybrid plc vlc system for iot applications |
| topic | Internet of Things (IoT) orthogonal frequency division multiplexing (OFDM) power line communication visible light communication |
| url | https://ieeexplore.ieee.org/document/10804121/ |
| work_keys_str_mv | AT irvinemapfumo paprreductionusingselectivemappingofanacoofdmhybridplcvlcsystemforiotapplications AT thokozanishongwe paprreductionusingselectivemappingofanacoofdmhybridplcvlcsystemforiotapplications |