2023
DOI: 10.1007/s11082-023-04651-w
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ASCO-OFDM based VLC system throughput improvement using PAPR precoding reduction techniques

Abstract: The huge bandwidth and immunity to electromagnetic interference make visible light communication (VLC) systems the preferred technique for many applications. Unfortunately, the superposition of multiple subcarriers in VLC orthogonal frequency division multiplexing systems leads to a high peak-to-average power ratio (PAPR). So, in this study, we aim to reduce PAPR in VLC systems and improve the system performance by proposing non-distorting PAPR reduction techniques like precoding techniques as it doesn’t affec… Show more

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Cited by 6 publications
(5 citation statements)
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“…To fulfill the non-negative signal requirement, any negative values within 𝑥 , (𝑛) and 𝑥 , (𝑛) are clipped to zero, yielding 𝑥 , , (𝑛), and 𝑥 , , (𝑛) as described below [21]: Both X ACO (K) and X EVEN (K) components are applied to IFFT operation as follows:…”
Section: Asco-ofdmmentioning
confidence: 99%
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“…To fulfill the non-negative signal requirement, any negative values within 𝑥 , (𝑛) and 𝑥 , (𝑛) are clipped to zero, yielding 𝑥 , , (𝑛), and 𝑥 , , (𝑛) as described below [21]: Both X ACO (K) and X EVEN (K) components are applied to IFFT operation as follows:…”
Section: Asco-ofdmmentioning
confidence: 99%
“…The overall composite signal was created by merging frames, each consisting of a defined number of symbols, each with a size of N. The signalling strategy in the first layer (𝐿 = 1) closely emulated that of ACO-OFDM, as elucidated in references [19,34,35]. This layer included N/4 CS, with their CC allocated in To fulfill the non-negative signal requirement, any negative values within x ACO,I (n) and x ACO,j (n) are clipped to zero, yielding x ACO,I,C (n), and x ACO,J,C (n) as described below [21]:…”
Section: Laco-ofdmmentioning
confidence: 99%
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“…High PAPR reduced the process of HPA to amplify [12]. Generally, metaheuristic techniques are utilized to reduce implementation time and costs, because of their accurate engineering [13]. Hence, it faces issues like initial convergence, less search constancy, the trap of local optimal, inefficient search, and less population diversity and diverging from a solution of optimum [14].…”
Section: Introductionmentioning
confidence: 99%