Parametric Analysis of UFMC with 5G NR Polar and Convolutional Codes in a Massive MIMO System

Detalhes bibliográficos
Autor(a) principal: Prajapati, Smita
Data de Publicação: 2025
Outros Autores: Jain, Divya, kapil, Neha
Tipo de documento: Artigo
Idioma: por
Título da fonte: ITEGAM-JETIA
Texto Completo: https://itegam-jetia.org/journal/index.php/jetia/article/view/1345
Resumo: The Fifth Generation (5G) wireless network's radio access strategies must meet dynamic and adaptable service requirements. The major demands in the current era of pervasive wireless networks are high throughput, reliability, and secure connectivity. 5G New Radio (NR) air interface is a major transition to new modulation and channel coding techniques to reduce redundancy, latency, and complexity. Convolutional codes were used in 4G and polar codes in 5G to code channels for control information in the uplink and downlink. This research aims to investigate the 4G channel codes and provide analytical results for comparing them to the 5G polar codes in Ultra-Reliable Low-Latency Communication (URLLC) applications with short block-length transmissions. The research implements Universal Filtered Multi-Carrier (UFMC) modulation, a suitable technique for short burst transmissions. Channel coding is applied to enhance reliability, considering Polar codes as major 5G candidates for short packet transmission. The comprehensive system is simulated in a massive Multiple Input Multiple Output (MIMO) scenario. The impact of antenna array size in MIMO and UFMC parameters and sub-band size are investigated. The major contribution of the work is that the Bit Error Rate (BER) performance of Polar codes is enhanced with an SNR gain of ~7dB with a 64x16 MIMO UFMC system compared to convolutional codes. Moreover, the concatenated polar and convolutional codes are used, which results in an additional SNR boost of about 3dB. This research reveals that mission-critical applications in 5G can benefit from the flexibility and improved error rate performance offered by the combination of UFMC, Polar codes, and massive MIMO.
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spelling Parametric Analysis of UFMC with 5G NR Polar and Convolutional Codes in a Massive MIMO SystemThe Fifth Generation (5G) wireless network's radio access strategies must meet dynamic and adaptable service requirements. The major demands in the current era of pervasive wireless networks are high throughput, reliability, and secure connectivity. 5G New Radio (NR) air interface is a major transition to new modulation and channel coding techniques to reduce redundancy, latency, and complexity. Convolutional codes were used in 4G and polar codes in 5G to code channels for control information in the uplink and downlink. This research aims to investigate the 4G channel codes and provide analytical results for comparing them to the 5G polar codes in Ultra-Reliable Low-Latency Communication (URLLC) applications with short block-length transmissions. The research implements Universal Filtered Multi-Carrier (UFMC) modulation, a suitable technique for short burst transmissions. Channel coding is applied to enhance reliability, considering Polar codes as major 5G candidates for short packet transmission. The comprehensive system is simulated in a massive Multiple Input Multiple Output (MIMO) scenario. The impact of antenna array size in MIMO and UFMC parameters and sub-band size are investigated. The major contribution of the work is that the Bit Error Rate (BER) performance of Polar codes is enhanced with an SNR gain of ~7dB with a 64x16 MIMO UFMC system compared to convolutional codes. Moreover, the concatenated polar and convolutional codes are used, which results in an additional SNR boost of about 3dB. This research reveals that mission-critical applications in 5G can benefit from the flexibility and improved error rate performance offered by the combination of UFMC, Polar codes, and massive MIMO.ITEGAM - Instituto de Tecnologia e Educação Galileo da Amazônia2025-02-21info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionPeer-reviewed Articleapplication/pdfhttps://itegam-jetia.org/journal/index.php/jetia/article/view/134510.5935/jetia.v11i51.1345ITEGAM-JETIA; v.11 n.51 2025; 157-163ITEGAM-JETIA; v.11 n.51 2025; 157-163ITEGAM-JETIA; v.11 n.51 2025; 157-1632447-022810.5935/jetia.v11i51reponame:ITEGAM-JETIAinstname:Instituto de Tecnologia e Educação Galileo da Amazônia (ITEGAM)instacron:ITEGAMporhttps://itegam-jetia.org/journal/index.php/jetia/article/view/1345/959Copyright (c) 2025 ITEGAM-JETIAinfo:eu-repo/semantics/openAccessPrajapati, SmitaJain, Divyakapil, Neha2025-03-05T15:36:39Zoai:ojs.itegam-jetia.org:article/1345Revistahttps://itegam-jetia.org/journal/index.php/jetiaPRIhttps://itegam-jetia.org/journal/index.php/jetia/oaieditor@itegam-jetia.orgopendoar:2025-03-05T15:36:39ITEGAM-JETIA - Instituto de Tecnologia e Educação Galileo da Amazônia (ITEGAM)false
dc.title.none.fl_str_mv Parametric Analysis of UFMC with 5G NR Polar and Convolutional Codes in a Massive MIMO System
title Parametric Analysis of UFMC with 5G NR Polar and Convolutional Codes in a Massive MIMO System
spellingShingle Parametric Analysis of UFMC with 5G NR Polar and Convolutional Codes in a Massive MIMO System
Prajapati, Smita
title_short Parametric Analysis of UFMC with 5G NR Polar and Convolutional Codes in a Massive MIMO System
title_full Parametric Analysis of UFMC with 5G NR Polar and Convolutional Codes in a Massive MIMO System
title_fullStr Parametric Analysis of UFMC with 5G NR Polar and Convolutional Codes in a Massive MIMO System
title_full_unstemmed Parametric Analysis of UFMC with 5G NR Polar and Convolutional Codes in a Massive MIMO System
title_sort Parametric Analysis of UFMC with 5G NR Polar and Convolutional Codes in a Massive MIMO System
author Prajapati, Smita
author_facet Prajapati, Smita
Jain, Divya
kapil, Neha
author_role author
author2 Jain, Divya
kapil, Neha
author2_role author
author
dc.contributor.author.fl_str_mv Prajapati, Smita
Jain, Divya
kapil, Neha
description The Fifth Generation (5G) wireless network's radio access strategies must meet dynamic and adaptable service requirements. The major demands in the current era of pervasive wireless networks are high throughput, reliability, and secure connectivity. 5G New Radio (NR) air interface is a major transition to new modulation and channel coding techniques to reduce redundancy, latency, and complexity. Convolutional codes were used in 4G and polar codes in 5G to code channels for control information in the uplink and downlink. This research aims to investigate the 4G channel codes and provide analytical results for comparing them to the 5G polar codes in Ultra-Reliable Low-Latency Communication (URLLC) applications with short block-length transmissions. The research implements Universal Filtered Multi-Carrier (UFMC) modulation, a suitable technique for short burst transmissions. Channel coding is applied to enhance reliability, considering Polar codes as major 5G candidates for short packet transmission. The comprehensive system is simulated in a massive Multiple Input Multiple Output (MIMO) scenario. The impact of antenna array size in MIMO and UFMC parameters and sub-band size are investigated. The major contribution of the work is that the Bit Error Rate (BER) performance of Polar codes is enhanced with an SNR gain of ~7dB with a 64x16 MIMO UFMC system compared to convolutional codes. Moreover, the concatenated polar and convolutional codes are used, which results in an additional SNR boost of about 3dB. This research reveals that mission-critical applications in 5G can benefit from the flexibility and improved error rate performance offered by the combination of UFMC, Polar codes, and massive MIMO.
publishDate 2025
dc.date.none.fl_str_mv 2025-02-21
dc.type.driver.fl_str_mv info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
Peer-reviewed Article
format article
status_str publishedVersion
dc.identifier.uri.fl_str_mv https://itegam-jetia.org/journal/index.php/jetia/article/view/1345
10.5935/jetia.v11i51.1345
url https://itegam-jetia.org/journal/index.php/jetia/article/view/1345
identifier_str_mv 10.5935/jetia.v11i51.1345
dc.language.iso.fl_str_mv por
language por
dc.relation.none.fl_str_mv https://itegam-jetia.org/journal/index.php/jetia/article/view/1345/959
dc.rights.driver.fl_str_mv Copyright (c) 2025 ITEGAM-JETIA
info:eu-repo/semantics/openAccess
rights_invalid_str_mv Copyright (c) 2025 ITEGAM-JETIA
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
dc.publisher.none.fl_str_mv ITEGAM - Instituto de Tecnologia e Educação Galileo da Amazônia
publisher.none.fl_str_mv ITEGAM - Instituto de Tecnologia e Educação Galileo da Amazônia
dc.source.none.fl_str_mv ITEGAM-JETIA; v.11 n.51 2025; 157-163
ITEGAM-JETIA; v.11 n.51 2025; 157-163
ITEGAM-JETIA; v.11 n.51 2025; 157-163
2447-0228
10.5935/jetia.v11i51
reponame:ITEGAM-JETIA
instname:Instituto de Tecnologia e Educação Galileo da Amazônia (ITEGAM)
instacron:ITEGAM
instname_str Instituto de Tecnologia e Educação Galileo da Amazônia (ITEGAM)
instacron_str ITEGAM
institution ITEGAM
reponame_str ITEGAM-JETIA
collection ITEGAM-JETIA
repository.name.fl_str_mv ITEGAM-JETIA - Instituto de Tecnologia e Educação Galileo da Amazônia (ITEGAM)
repository.mail.fl_str_mv editor@itegam-jetia.org
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