NOMA and OMA-Based Massive MIMO and Clustering Algorithms for Beyond 5G IoT Networks

The Internet of Things (IoT) has brought about various global changes, as all devices will be connected. This article examines the latest 5G solutions for enabling a massive cellular network. It further explored the gaps in previously published articles, demonstrating that to deal with the new chall...

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Autores principales:	Taj Rahman, Feroz Khan, Inayat Khan, Niamat Ullah, Maha M. Althobaiti, Fawaz Alassery
Formato:	article
Lenguaje:	EN
Publicado:	Hindawi-Wiley 2021
Materias:	Technology T Telecommunication TK5101-6720
Acceso en línea:	https://doaj.org/article/d4d82d28e98f4ef5859982f2ae1e5ac5
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spelling	oai:doaj.org-article:d4d82d28e98f4ef5859982f2ae1e5ac52021-11-29T00:55:34ZNOMA and OMA-Based Massive MIMO and Clustering Algorithms for Beyond 5G IoT Networks1530-867710.1155/2021/6522089https://doaj.org/article/d4d82d28e98f4ef5859982f2ae1e5ac52021-01-01T00:00:00Zhttp://dx.doi.org/10.1155/2021/6522089https://doaj.org/toc/1530-8677The Internet of Things (IoT) has brought about various global changes, as all devices will be connected. This article examines the latest 5G solutions for enabling a massive cellular network. It further explored the gaps in previously published articles, demonstrating that to deal with the new challenges. The mobile network must use massive multiple input and output (MIMO), nonorthogonal multiple access (NOMA), orthogonal multiple access (OMA), signal interference cancellation (SIC), channel state information (CSI), and clustering. Furthermore, this article has two objectives such as (1) to introduce the cluster base NOMA to reduce the computational complexity by applying SIC on a cluster, which ultimately results in faster communication and (2) to achieve massive connectivity by proposing massive MIMO with NOMA and OMA. The proposed NOMA clustering technique working principle pairs the close user with the far user; thus, it will reduce computational complexity, which was one such big dilemma in the existing articles. This will specifically help those users that are far away from the base station by maintaining the connectivity. Despite NOMA’s extraordinary benefits, one cannot deny the significance of the OMA; hence, the other objective of the proposed work is to introduce OMA with MIMO in small areas where the user is low in number, it is already in use, and quite cheap. The next important aspect of the proposed work is SIC, which helps remove interference and leads to enhancement in network performance. The simulation result has clearly stated that NOMA has gained a higher rate than OMA: current NOMA users’ power requirement (weak signal user 0.06, strong signal user 0.07), spectral efficiency ratio for P-NOMA and C-NOMA (21%, 5%), signal-to-noise ratio OMA, P-NOMA, C-NOMA (28, 40, 55%), and user rate pairs NOMA, OMA (7, 3), C-NOMA, and massive MIMO NOMA SINR (4.0, 2.5).Taj RahmanFeroz KhanInayat KhanNiamat UllahMaha M. AlthobaitiFawaz AlasseryHindawi-WileyarticleTechnologyTTelecommunicationTK5101-6720ENWireless Communications and Mobile Computing, Vol 2021 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	Technology T Telecommunication TK5101-6720
spellingShingle	Technology T Telecommunication TK5101-6720 Taj Rahman Feroz Khan Inayat Khan Niamat Ullah Maha M. Althobaiti Fawaz Alassery NOMA and OMA-Based Massive MIMO and Clustering Algorithms for Beyond 5G IoT Networks
description	The Internet of Things (IoT) has brought about various global changes, as all devices will be connected. This article examines the latest 5G solutions for enabling a massive cellular network. It further explored the gaps in previously published articles, demonstrating that to deal with the new challenges. The mobile network must use massive multiple input and output (MIMO), nonorthogonal multiple access (NOMA), orthogonal multiple access (OMA), signal interference cancellation (SIC), channel state information (CSI), and clustering. Furthermore, this article has two objectives such as (1) to introduce the cluster base NOMA to reduce the computational complexity by applying SIC on a cluster, which ultimately results in faster communication and (2) to achieve massive connectivity by proposing massive MIMO with NOMA and OMA. The proposed NOMA clustering technique working principle pairs the close user with the far user; thus, it will reduce computational complexity, which was one such big dilemma in the existing articles. This will specifically help those users that are far away from the base station by maintaining the connectivity. Despite NOMA’s extraordinary benefits, one cannot deny the significance of the OMA; hence, the other objective of the proposed work is to introduce OMA with MIMO in small areas where the user is low in number, it is already in use, and quite cheap. The next important aspect of the proposed work is SIC, which helps remove interference and leads to enhancement in network performance. The simulation result has clearly stated that NOMA has gained a higher rate than OMA: current NOMA users’ power requirement (weak signal user 0.06, strong signal user 0.07), spectral efficiency ratio for P-NOMA and C-NOMA (21%, 5%), signal-to-noise ratio OMA, P-NOMA, C-NOMA (28, 40, 55%), and user rate pairs NOMA, OMA (7, 3), C-NOMA, and massive MIMO NOMA SINR (4.0, 2.5).
format	article
author	Taj Rahman Feroz Khan Inayat Khan Niamat Ullah Maha M. Althobaiti Fawaz Alassery
author_facet	Taj Rahman Feroz Khan Inayat Khan Niamat Ullah Maha M. Althobaiti Fawaz Alassery
author_sort	Taj Rahman
title	NOMA and OMA-Based Massive MIMO and Clustering Algorithms for Beyond 5G IoT Networks
title_short	NOMA and OMA-Based Massive MIMO and Clustering Algorithms for Beyond 5G IoT Networks
title_full	NOMA and OMA-Based Massive MIMO and Clustering Algorithms for Beyond 5G IoT Networks
title_fullStr	NOMA and OMA-Based Massive MIMO and Clustering Algorithms for Beyond 5G IoT Networks
title_full_unstemmed	NOMA and OMA-Based Massive MIMO and Clustering Algorithms for Beyond 5G IoT Networks
title_sort	noma and oma-based massive mimo and clustering algorithms for beyond 5g iot networks
publisher	Hindawi-Wiley
publishDate	2021
url	https://doaj.org/article/d4d82d28e98f4ef5859982f2ae1e5ac5
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NOMA and OMA-Based Massive MIMO and Clustering Algorithms for Beyond 5G IoT Networks

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