Evidence map›Paper›PMID 37876455›Full record

ArticleHeliyon2023

PAPR reduction using SLM-PTS-CT hybrid PAPR method for optical NOMA waveform.

Arun Kumar, Karthikeyan Rajagopal, Nuha Alruwais, Haya Mesfer Alshahrani, Hany Mahgoub, Kamal M Othman

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Article in Heliyon, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

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4 · The record

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5 · Who and what money

Authors and funding

6 authors.

Arun KumarDepartment of Electronics and Communication Engineering, New Horizon College of Engineering, Bengaluru, India.
Karthikeyan RajagopalCentre for Nonlinear Systems, Chennai Institute of Technology, Chennai, 600069, India.
Nuha AlruwaisDepartment of Computer Science and Engineering, College of Applied Studies and Community Services, King Saud University, P.O.Box 22459, Riyadh, 11495, Saudi Arabia.
Haya Mesfer AlshahraniDepartment of Information Systems, College of Computer and Information Sciences, Princess Nourah Bint Abdulrahman University, P.O. Box 84428, Riyadh, 11671, Saudi Arabia.
Hany MahgoubDepartment of Computer Science, College of Science & Art at Mahayil, King Khalid University, Saudi Arabia.
Kamal M OthmanDepartment of Electrical Engineering, Umm Al-Qura University, Makkah, Saudi Arabia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

In this article, we focus on optimising the SLM-PTS-CT (selective mapping, partial transmission sequence, circular transformation) hybrid method for optical non-orthogonal multiple access (O-NOMA) waveforms. The goal is to enhance the spectrum performance and practicality of O-NOMA systems while mitigating the PAPR issue through a hybrid approach. The SLM-PTS-CT hybrid method is applicable to O-NOMA waveforms, providing effective PAPR reduction. By dividing the data sequence into sub-blocks, applying phase factors, and rotating the phase of the subcarriers in such a way that the peaks of the signal are distributed more uniformly, the proposed SLM-PTS-CT achieves an optimal PAPR reduction while maintaining the benefits of O-NOMA. The efficiency of the proposed method is analysed by estimating the performance of several parameters, such as bit error rate (BER), PAPR, and power spectral density (PSD), by increasing the number of sub-blocks (S) and phase factor (P). Further, the proposed SLM-PTS-CT is compared with the conventional SLM-PTS, SLM, and PTS. The simulation results demonstrate that the proposed approach efficiently improves spectral efficiency, preserves BER performance, and reduces PAPR as compared with conventional methods.

Indexed as

Hybrid SLM-PTS-CTOptical-NOMAPAPRPTSSLMSLM-PTS

Identifiers

PMID37876455
PMCPMC10590951

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.