Dynamic Peak Threshold Estimation Method for Noise Mitigation in Hybrid PLC/VLC Systems
Most communication systems suffer from signal distortions as a result of noise interference. These distortions have multiple effects on communication channels, including higher bit error rate (BER), reduced signal-to-noise ratio (SNR), and restricted channel capacity. It has been determined that imp...
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2025-01-01
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author | Irvine Mapfumo Thokozani Shongwe |
author_facet | Irvine Mapfumo Thokozani Shongwe |
author_sort | Irvine Mapfumo |
collection | DOAJ |
description | Most communication systems suffer from signal distortions as a result of noise interference. These distortions have multiple effects on communication channels, including higher bit error rate (BER), reduced signal-to-noise ratio (SNR), and restricted channel capacity. It has been determined that impulsive noise is one of the most detrimental noise types in hybrid power line communication-visible light communication (PLC/VLC) systems. Several techniques to combat impulsive noise in telecommunication systems have been discussed in scholarly research. Most impulsive mitigation methods discussed in the literature require knowledge of the noise parameters in order to function properly. Their principle of operation is based on prior knowledge of impulsive noise characteristics such as probability of occurrence of impulsive noise and noise power at the receiver, to ascertain the optimum blanking threshold. However, it is important to acknowledge that it is extremely difficult to determine such parameters in real-life applications due to the dynamic nature of impulsive noise. Thus, in this paper, we exploit the dynamic peak threshold estimation (DPTE) method in asymmetrically clipped optical-orthogonal frequency division multiplexing (ACO-OFDM) based hybrid PLC/VLC system. This is essential for determining the ideal blanking threshold without prior knowledge concerning the distinctive characteristics of impulsive noise. The acquired results demonstrate that the proposed method does not only eliminates the need to know impulsive noise parameters, but also enhances the receiver’s output SNR. Moreover, the results showed a clear correlation between the optimal blanking threshold and the peak-to-average power value of the ACO-OFDM symbol which we leveraged to ascertain the optimal blanking threshold. |
format | Article |
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language | English |
publishDate | 2025-01-01 |
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spelling | doaj-art-0d9b3f2102df42828b1a2088e30107c72025-01-09T00:01:25ZengIEEEIEEE Access2169-35362025-01-01133583358910.1109/ACCESS.2024.352504210820356Dynamic Peak Threshold Estimation Method for Noise Mitigation in Hybrid PLC/VLC SystemsIrvine 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 AfricaMost communication systems suffer from signal distortions as a result of noise interference. These distortions have multiple effects on communication channels, including higher bit error rate (BER), reduced signal-to-noise ratio (SNR), and restricted channel capacity. It has been determined that impulsive noise is one of the most detrimental noise types in hybrid power line communication-visible light communication (PLC/VLC) systems. Several techniques to combat impulsive noise in telecommunication systems have been discussed in scholarly research. Most impulsive mitigation methods discussed in the literature require knowledge of the noise parameters in order to function properly. Their principle of operation is based on prior knowledge of impulsive noise characteristics such as probability of occurrence of impulsive noise and noise power at the receiver, to ascertain the optimum blanking threshold. However, it is important to acknowledge that it is extremely difficult to determine such parameters in real-life applications due to the dynamic nature of impulsive noise. Thus, in this paper, we exploit the dynamic peak threshold estimation (DPTE) method in asymmetrically clipped optical-orthogonal frequency division multiplexing (ACO-OFDM) based hybrid PLC/VLC system. This is essential for determining the ideal blanking threshold without prior knowledge concerning the distinctive characteristics of impulsive noise. The acquired results demonstrate that the proposed method does not only eliminates the need to know impulsive noise parameters, but also enhances the receiver’s output SNR. Moreover, the results showed a clear correlation between the optimal blanking threshold and the peak-to-average power value of the ACO-OFDM symbol which we leveraged to ascertain the optimal blanking threshold.https://ieeexplore.ieee.org/document/10820356/Dynamic peak threshold estimationorthogonal frequency division multiplexingPLC/VLC systemspower line communicationsignal-to-noise ratiovisible light communication |
spellingShingle | Irvine Mapfumo Thokozani Shongwe Dynamic Peak Threshold Estimation Method for Noise Mitigation in Hybrid PLC/VLC Systems IEEE Access Dynamic peak threshold estimation orthogonal frequency division multiplexing PLC/VLC systems power line communication signal-to-noise ratio visible light communication |
title | Dynamic Peak Threshold Estimation Method for Noise Mitigation in Hybrid PLC/VLC Systems |
title_full | Dynamic Peak Threshold Estimation Method for Noise Mitigation in Hybrid PLC/VLC Systems |
title_fullStr | Dynamic Peak Threshold Estimation Method for Noise Mitigation in Hybrid PLC/VLC Systems |
title_full_unstemmed | Dynamic Peak Threshold Estimation Method for Noise Mitigation in Hybrid PLC/VLC Systems |
title_short | Dynamic Peak Threshold Estimation Method for Noise Mitigation in Hybrid PLC/VLC Systems |
title_sort | dynamic peak threshold estimation method for noise mitigation in hybrid plc vlc systems |
topic | Dynamic peak threshold estimation orthogonal frequency division multiplexing PLC/VLC systems power line communication signal-to-noise ratio visible light communication |
url | https://ieeexplore.ieee.org/document/10820356/ |
work_keys_str_mv | AT irvinemapfumo dynamicpeakthresholdestimationmethodfornoisemitigationinhybridplcvlcsystems AT thokozanishongwe dynamicpeakthresholdestimationmethodfornoisemitigationinhybridplcvlcsystems |