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OFDM Network Optimization Using a QPSK Based on a Wind-Driven Genetic Algorithm
Quadrature phase shift keying (QPSK) is a digital modulation technique that transmits data at a constant frequency whilst varying the phases of the carrier signal. QPSK is one of the fundamental modulation schemes for orthogonal frequency division multiplexing systems (OFDM). It is a stable modulati...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9415329/ https://www.ncbi.nlm.nih.gov/pubmed/36015935 http://dx.doi.org/10.3390/s22166174 |
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author | Sun, Yanxia Shambare, Chikomborero Imoru, OdunAyo |
author_facet | Sun, Yanxia Shambare, Chikomborero Imoru, OdunAyo |
author_sort | Sun, Yanxia |
collection | PubMed |
description | Quadrature phase shift keying (QPSK) is a digital modulation technique that transmits data at a constant frequency whilst varying the phases of the carrier signal. QPSK is one of the fundamental modulation schemes for orthogonal frequency division multiplexing systems (OFDM). It is a stable modulation technique with good spectral efficiency. However, during transmission, the carrier signal can undergo numerous phase changes. This creates phase ambiguity problems at the receiver end. This results in inter-symbol interference (ISI) and a high bit error rate (BER). In this paper, the wind-driven optimization was incorporated into the genetic algorithm (GA) as its population selection function. This hybrid algorithm was used to determine the phase assignments for the QPSK. The developed QPSK was implemented on an OFDM network and the message signal was recovered at more than 92% accuracy in a noisy Rayleigh fading channel and 100% accuracy in a noiseless channel. The enhancements greatly mitigated phase ambiguity and bit errors. |
format | Online Article Text |
id | pubmed-9415329 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-94153292022-08-27 OFDM Network Optimization Using a QPSK Based on a Wind-Driven Genetic Algorithm Sun, Yanxia Shambare, Chikomborero Imoru, OdunAyo Sensors (Basel) Article Quadrature phase shift keying (QPSK) is a digital modulation technique that transmits data at a constant frequency whilst varying the phases of the carrier signal. QPSK is one of the fundamental modulation schemes for orthogonal frequency division multiplexing systems (OFDM). It is a stable modulation technique with good spectral efficiency. However, during transmission, the carrier signal can undergo numerous phase changes. This creates phase ambiguity problems at the receiver end. This results in inter-symbol interference (ISI) and a high bit error rate (BER). In this paper, the wind-driven optimization was incorporated into the genetic algorithm (GA) as its population selection function. This hybrid algorithm was used to determine the phase assignments for the QPSK. The developed QPSK was implemented on an OFDM network and the message signal was recovered at more than 92% accuracy in a noisy Rayleigh fading channel and 100% accuracy in a noiseless channel. The enhancements greatly mitigated phase ambiguity and bit errors. MDPI 2022-08-18 /pmc/articles/PMC9415329/ /pubmed/36015935 http://dx.doi.org/10.3390/s22166174 Text en © 2022 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Article Sun, Yanxia Shambare, Chikomborero Imoru, OdunAyo OFDM Network Optimization Using a QPSK Based on a Wind-Driven Genetic Algorithm |
title | OFDM Network Optimization Using a QPSK Based on a Wind-Driven Genetic Algorithm |
title_full | OFDM Network Optimization Using a QPSK Based on a Wind-Driven Genetic Algorithm |
title_fullStr | OFDM Network Optimization Using a QPSK Based on a Wind-Driven Genetic Algorithm |
title_full_unstemmed | OFDM Network Optimization Using a QPSK Based on a Wind-Driven Genetic Algorithm |
title_short | OFDM Network Optimization Using a QPSK Based on a Wind-Driven Genetic Algorithm |
title_sort | ofdm network optimization using a qpsk based on a wind-driven genetic algorithm |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9415329/ https://www.ncbi.nlm.nih.gov/pubmed/36015935 http://dx.doi.org/10.3390/s22166174 |
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